50 Powerdesigner Jobs

Key Responsibilities - Familiarity with modern storage formats like Parquet and ORC. Design and develop conceptual, logical, and physical data models to support enterprise data initiatives. Build, maintain, and optimize data models within Databricks Unity Catalog. Develop efficient data structures using Delta Lake, optimizing for performance, scalability, and reusability. Collaborate with data engineers, architects, analysts, and stakeholders to ensure data model alignment with ingestion pipelines and business goals. Translate business and reporting requirements into robust data architecture using best practices in data warehousing and Lakehouse design. Maintain comprehensive metadata artifacts including data dictionaries, data lineage, and modeling documentation. Enforce and support data governance, data quality, and security protocols across data ecosystems. Continuously evaluate and improve modeling processes and Skills and Experience : 10+ years of hands-on experience in data modeling in Big Data environments. Expertise in OLTP, OLAP, dimensional modeling, and enterprise data warehouse practices. Proficient in modeling methodologies including Kimball, Inmon, and Data Vault. Hands-on experience with modeling tools such as ER/Studio, ERwin, PowerDesigner, SQLDBM, dbt, or Lucidchart. Proven experience in Databricks with Unity Catalog and Delta Lake. Strong command of SQL and Apache Spark for querying and transformation. Hands-on experience with the Azure Data Platform, including : Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics Azure SQL Database Exposure to Azure Purview or similar data cataloging tools. Strong communication and documentation skills, with the ability to work in cross-functional agile Qualifications : Bachelor's or Masters degree in Computer Science, Information Systems, Data Engineering, or related field. Certifications such as Microsoft DP-203: Data Engineering on Microsoft Azure. Experience working in agile/scrum environments. Exposure to enterprise data security and regulatory compliance frameworks (e.g., GDPR, HIPAA) is a plus. (ref:hirist.tech)

P3-C3-TSTS 15+ years of Senior data modeling experience, Erwin data modelling tool Experience with AWS and Redshift database models is a plus Designing L2 Layer experience for Large Data Transformation Program Experience of working as a Lead Data Modeler and working with senior stakeholders Knowledge of relational databases and data architecture computer systems, including SQL Experience of ER modeling, big data, enterprise data, and physical data models Experience of working with large data sets. Banking experience is a must. Finance data experience, Anaplan experience is a plus. Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or erwin DataModeler Excellent presentation, communication, and organizational skills Strong attention to detail Ability to work in a fast-paced environment

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Vice President - Data Modeller Business :Finance Location- Hyderabad/Bangalore/Chennai/Pune/Gurgaon Principal responsibilities The FDS Data Team are seeking to recruit a Data Modeller with a passion for organising and transforming complex Finance data into actionable insights represented within data model structures that are fit for purpose. The role requires a strong analytical mindset, a good understanding of various data modelling techniques and tools with a proven track record. The individual should have exposure of designing and implementing efficient data models that cater to the data sourcing, storage and usage needs of the Finance business and/or Front-to-Back business domains within a global financial institution. Support the design and develop FDS conceptual, logical and application data models as per HSBC's Future State Architecture (Data Asset Strategy) and work across Finance business teams to drive understanding, interpretation, design, and implementation. Support Finance business and change teams to migrate to target state data models and Data Asset delivery, driving improvement on current feeds and data issues. Develop data modelling schemas aligned with Enterprise data models and supporting Finance Data Assets. Contribute to FDS program model development planning and scheduling. Continuously improve FDS data modelling estate adhering to risks, controls, security, and regulatory compliance standards. Advise and support Finance modelling data requirements that support new use case and data changes. Serve as FDS data modelling subject matter expert. Support Finance adoption and implementation of FDS data models to meet HSBC's strategic data needs. Participate in data modelling and data architecture governance forums. Coordinate and collaborate with cross-functional teams, change delivery teams, technology teams and subject matter expert - stakeholders. Create and maintain a range of data modelling documents including model requirement, data flow diagrams, data catalogues, data definitions, design specification, data models, traceability matrices, data quality rules and more. Be responsible for translating the Finance business requirements into the data modelling solution and Finance Data Assets. Conduct a continuous audit of data models and refine whenever required, this includes the reporting of any challenges issues or risks to senior management. Ensure Finance data models align with Enterprise data models and adhere to Enterprise Architecture principles and standards. Seek opportunities to simplify, automate, rationalise, and improve the efficiency of Finance IT and modelling solutions. Update and maintain the key FDS modelling artefacts, (i.e., Confluence, SharePoint, documents, reports, roadmap, and other domain artefacts). Provide data modelling and technical advice as well as maintain ongoing relationships. Provide feedback in a timely manner to ensure that model development or modification meets the business need. Communicate FDS data modelling solutions to both technical and non-technical audiences, ensuring the communication style is appropriate for the intended audience. Requirements Minimum of 10 years' experience of Data management and modelling solutions working as a Data Modeller within the Financial Services sector is essential; preferably in a Treasury/Finance function and or related front office environment. A proven track record working in a large and global banking environment is desirable. Demonstrate experience in design data modelling solutions (conceptual, logical and application/messaging) with corresponding phasing, transitions, and migrations where necessary. Good understanding of managing 'data as a product (asset)’ principle across enterprise domains and technology landscapes. Good understanding of architectural domains (business, data, application, and technology) Experience of working with Agile and Scrum in a large scalable Agile environment Knowledge of reference/master data management Good collaboration skills with the ability to demonstrate experience achieving outcomes in a matrixed environment partnering with data modellers from other domains to build and join shared and reusable data assets. Technical Skills Data standards, data governance, data strategy and data lineage would be advantageous in this role Cloud exposure to solutions implemented in either GCP, AWS or Azure would be beneficial as well as having exposure to big data solutions would be advantageous. Experience working with leading data modelling tools modelling documentation using tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio etc Knowledge of data modelling standards and modelling technical documentation using Entity Relationship Diagrams (ERD) or Unified Modelling language (UML) or BIAN. Understanding of issue and data quality management, prioritisation, business case development, remediation planning and tactical or strategic solution delivery Exposure with data governance initiatives such as lineage, masking, retention policy, and data quality Strong analytical skills and problem-solving, with the ability to work unsupervised and take ownership for key deliverables. Exposure with ETL architectures and tools, including data virtualisation, integration with APIs is desirable. You’ll achieve more when you join HSBC. HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued by HSBC Electronic Data Processing (India) Private LTD***

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Data Management Technology and Enterprise Architecture (DMTEA) - DQCE GT GO GSEP group is responsible for ensuring technology provides accurate, timely, and complete Global Technology data; governs common DQCE processes. GT Data Modelling under DQCE portfolio is responsible for Global Technology (GT) Logical Data Architecture and Model Governance, identifying and compiling use cases that reflect GT data needs, simplifying GT data sourcing strategies, managing the GT Conceptual and Logical Data Models, including alignment to data families and domains, and GT ADS and Platform product management. Job Description* This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap. Specifically, this role will be responsible for producing and maintaining conceptual, logical, and physical data models, and physical data architecture of operational data stores, data warehouses and data marts. Participate in design, development, and implementation of architectural deliverables, to include components of the assessment and optimization of system design and review of user requirements. Responsibilities* Collaborate with Stakeholders: Work closely with business representatives, data architects, analysts, and development teams to gather, analyze, and translate business requirements into data models. Design Data Models: Create conceptual, logical, and physical data models that define the structure, relationships, and rules within databases (including relational, dimensional, and NoSQL databases). Maintain and Optimize Models: Develop, update, and maintain data models, schemas, data dictionaries, and documentation to reflect current and future business needs. Ensure Data Integrity and Quality: Implement best practices for data governance, data quality, and metadata management to ensure consistency, accuracy, and security of data. Performance Optimization: Troubleshoot, optimize, and tune database performance, including query optimization, indexing strategies, and data integration processes. Data Integration and Migration: Assist in data migration projects, integration of new systems, and the implementation of data warehousing and business intelligence solutions. Develop Standards: Define and enforce data modeling standards, naming conventions, and coding practices to maintain consistency across the organization. Evaluate and Improve Systems: Review existing data systems for variances, discrepancies, and inefficiencies; propose and implement improvements. Reverse Engineering: Extract and document data models from existing legacy systems when necessary. Support Data Governance: Contribute to data governance initiatives and collaborate with IT leadership on enterprise data strategy Minimum of 6-8 years in Data Modeling, Data Warehousing, Dimensional and Relational Modeling, Semantic Modeling and Metadata Management Minimum of 6-8 years in Data Modeling, Data Warehousing, Dimensional and Relational Modeling, Semantic Modeling and Metadata Management Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable Ability to educate and present on data management standards, data model practices, standardization strategies, and best practices to create innovative solutions Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products. Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability) Extensive Experience with Sybase PowerDesigner or Erwin Experience in database development, design, and best practices Requirements* Education* Graduation / Post Graduation Certifications If Any: Experience Range* 10-15 Years Foundational Skills* Data Modeling Regulatory Compliance Solution Design Desired Skills* Certifications in Financial domain Work Timings* 11:30 AM to 08:30 PM IST Job Location* Chennai, Hyderabad

Job Title: Senior Data Modeler Experience Required: 6+ Years Location: Remote Employment Type: Full-time / Contract (Remote) Domain: Data Engineering / Analytics / Data Warehousing --- Job Summary: We are seeking an experienced and detail-oriented Data Modeler with a strong background in conceptual, logical, and physical data modeling. The ideal candidate will have in-depth knowledge of Snowflake architecture, data modeling best practices (Star/Snowflake schema), and advanced SQL scripting. You will be responsible for designing robust, scalable data models and working closely with data engineers, analysts, and business stakeholders. --- Key Responsibilities: 1. Data Modeling: Design Conceptual, Logical, and Physical Data Models. Create and maintain Star and Snowflake Schemas for analytical reporting. Perform Normalization and Denormalization based on performance and reporting requirements. Work closely with business stakeholders to translate requirements into optimized data structures. Maintain data model documentation and data dictionary. 2. Snowflake Expertise: Design and implement Snowflake schemas with optimal partitioning and clustering strategies. Perform performance tuning for complex queries and storage optimization. Implement Time Travel, Streams, and Tasks for data recovery and pipeline automation. Manage and secure data using Secure Views and Materialized Views. Optimize usage of Virtual Warehouses and storage costs. 3. SQL & Scripting: Write and maintain Advanced SQL queries including: Common Table Expressions (CTEs) Window Functions Recursive queries Build automation scripts for data loading, transformation, and validation. Troubleshoot and optimize SQL queries for performance and accuracy. Support data migration and integration projects. --- Required Skills & Qualifications: 6+ years of experience in Data Modeling and Data Warehouse design. Proven experience with Snowflake platform (min. 2 years). Strong hands-on experience in Dimensional Modeling (Star/Snowflake schemas). Expert in SQL and scripting for automation and performance optimization. Familiarity with tools like Erwin, PowerDesigner, or similar data modeling tools. Experience working in Agile/Scrum environments. Strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. --- Preferred Skills (Nice to Have): Experience with ETL/ELT tools like dbt, Informatica, Talend, etc. Exposure to Cloud Platforms like AWS, Azure, or GCP. Familiarity with Data Governance and Data Quality frameworks.

Skills: Data Modeling, Snowflake, Schemas, Star Schema Design, SQL, Data Integration, Job Title: Senior Data Modeler Experience Required: 6+ Years Location: Remote Employment Type: Full-time / Contract (Remote) Domain: Data Engineering / Analytics / Data Warehousing Job Summary We are seeking an experienced and detail-oriented Data Modeler with a strong background in conceptual, logical, and physical data modeling. The ideal candidate will have in-depth knowledge of Snowflake architecture, data modeling best practices (Star/Snowflake schema), and advanced SQL scripting. You will be responsible for designing robust, scalable data models and working closely with data engineers, analysts, and business stakeholders. Key Responsibilities Data Modeling: Design Conceptual, Logical, and Physical Data Models. Create and maintain Star and Snowflake Schemas for analytical reporting. Perform Normalization and Denormalization based on performance and reporting requirements. Work closely with business stakeholders to translate requirements into optimized data structures. Maintain data model documentation and data dictionary. Snowflake Expertise: Design and implement Snowflake schemas with optimal partitioning and clustering strategies. Perform performance tuning for complex queries and storage optimization. Implement Time Travel, Streams, and Tasks for data recovery and pipeline automation. Manage and secure data using Secure Views and Materialized Views. Optimize usage of Virtual Warehouses and storage costs. SQL & Scripting: Write And Maintain Advanced SQL Queries Including Common Table Expressions (CTEs) Window Functions Recursive queries Build automation scripts for data loading, transformation, and validation. Troubleshoot and optimize SQL queries for performance and accuracy. Support data migration and integration projects. Required Skills & Qualifications 6+ years of experience in Data Modeling and Data Warehouse design. Proven experience with Snowflake platform (min. 2 years). Strong hands-on experience in Dimensional Modeling (Star/Snowflake schemas). Expert in SQL and scripting for automation and performance optimization. Familiarity with tools like Erwin, PowerDesigner, or similar data modeling tools. Experience working in Agile/Scrum environments. Strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Preferred Skills (Nice To Have) Experience with ETL/ELT tools like dbt, Informatica, Talend, etc. Exposure to Cloud Platforms like AWS, Azure, or GCP. Familiarity with Data Governance and Data Quality frameworks.

We are looking for a skilled Data Modeller with strong experience in the Big Data ecosystem, particularly in the Azure Data Platform and Databricks environment. The ideal candidate should have a deep understanding of data modelling principles and hands-on expertise in building models in modern data architectures such as Unity Catalog and Delta Lake. Key Responsibilities: Design and develop conceptual, logical, and physical data models to support enterprise analytics and reporting needs Build and manage data models in Unity Catalog within the Databricks environment Work across teams to model and structure data in Delta Lake and optimize for performance and reusability Collaborate with data engineers, architects, and analysts to ensure models align with data ingestion, transformation, and business reporting workflows Translate business requirements into scalable and efficient data designs using best practices in data warehousing and Lakehouse architecture Maintain comprehensive documentation, including data dictionaries, data lineage, and metadata Implement and support data governance, data quality, and security controls across datasets and platforms Qualifications and Skills: 10+ years of Hands-on data modelling experience in the Big Data ecosystem, with a strong understanding of OLTP, OLAP, and dimensional modelling Hands – on experience in Data modelling techniques like Kimball, Inmon, Data vault and Dimensional Strong proficiency in data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner, dbt, SQLDBM, or Lucidchart) Experience building and maintaining data models using Unity Catalog in Databricks Proven experience working with the Azure Data Platform, including services like: Azure Data Factory Azure Data Lake Azure Synapse Analytics Azure SQL Database Strong proficiency in SQL and Apache Spark for data transformation and querying Familiarity with Delta Lake, Parquet, and modern data storage formats Knowledge of data cataloging tools such as Azure Purview is a plus Excellent problem-solving skills and ability to work in agile and fast-paced environments Strong communication skills to articulate data concepts to technical and non-technical stakeholders Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field Relevant certifications such as DP-203 (Azure Data Engin About Us: We’re an international team who specialize in building technology products & then helping brands grow with multi-channel demand generation marketing. We have in-house experience working for Fortune companies, e-commerce brands, technology SaaS companies. We have assisted over a dozen billion dollar companies with consulting, technology, operations, and digital agency capabilities in managing their unique brand online. We have a fun and friendly work culture that also encourages employees personally and professionally. EbizON has many values that are important to our success as a company: integrity, creativity, innovation, mindfulness and teamwork. We thrive on the idea of making life better for people by providing them with peace of mind. The people here love what they do because everyone from management all way down understands how much it means living up close-to someones' ideals which allows every day feel less stressful knowing each person has somebody cheering him. Equal Opportunity Employer: EbizON is committed to providing equal opportunity for all employees, and we will consider any qualified applicant without regard to race or other prohibited characteristics. Flexible Timings: Flexible working hours are the new normal. We at EbizON believe giving employees freedom to choose when to work, how to work. It helps them thrive and also balance their life better. Global Clients Exposure: Our goal is to provide excellent customer service and we want our employees to work closely with clients from around the world. That's why you'll find us working closely with clients from around the world through Microsoft Teams, Zoom and other video conferencing tools. Retreats & Celebrations: With annual retreats, quarterly town halls and festive celebrations we have a lot of opportunities to get together. Powered by JazzHR ndhkjYTwXs

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Chief Data Architect Business: Finance Function Principal responsibilities The Financial Data Service (FDS) Team are seeking to recruit a Data Modeller with a passion for organising and transforming complex Finance data into actionable insights represented within data model structures that are fit for purpose. The role requires a strong analytical mindset, a good understanding of various data modelling techniques and tools with a proven track record. The individual should have exposure of designing and implementing efficient data models that cater to the data sourcing, storage and usage needs of the Finance business and/or Front-to-Back business domains within a global financial institution. Support the design and develop FDS conceptual, logical and application data models as per HSBC's Future State Architecture (Data Asset Strategy) and work across Finance business teams to drive understanding, interpretation, design, and implementation. Support Finance business and change teams to migrate to target state data models and Data Asset delivery, driving improvement on current feeds and data issues. Develop data modelling schemas aligned with Enterprise data models and supporting Finance Data Assets. Contribute to FDS program model development planning and scheduling. Continuously improve FDS data modelling estate adhering to risks, controls, security, and regulatory compliance standards. Advise and support Finance modelling data requirements that support new use case and data changes. Serve as FDS data modelling subject matter expert. Support Finance adoption and implementation of FDS data models to meet HSBC's strategic data needs. Participate in data modelling and data architecture governance forums. Coordinate and collaborate with cross-functional teams, change delivery teams, technology teams and subject matter expert - stakeholders. Create and maintain a range of data modelling documents including model requirement, data flow diagrams, data catalogues, data definitions, design specification, data models, traceability matrices, data quality rules and more. Be responsible for translating the Finance business requirements into the data modelling solution and Finance Data Assets. Conduct a continuous audit of data models and refine whenever required, this includes the reporting of any challenges issues or risks to senior management. Ensure Finance data models align with Enterprise data models and adhere to Enterprise Architecture principles and standards. Requirements Minimum of 10 years' experience of Data management and modelling solutions working as a Data Modeller within the Financial Services sector is essential; preferably in a Treasury/Finance function and or related front office environment. A proven track record working in a large and global banking environment is desirable. Demonstrate experience in design data modelling solutions (conceptual, logical and application/messaging) with corresponding phasing, transitions, and migrations where necessary. Good understanding of managing 'data as a product (asset)’ principle across enterprise domains and technology landscapes. Good understanding of architectural domains (business, data, application, and technology) Good communication skills with the ability to influence and present data models (as well as concepts) to technology and business stakeholders. Experience working with leading data modelling tools modelling documentation using tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio etc. Good collaboration skills with the ability to demonstrate experience achieving outcomes in a matrixed environment partnering with data modellers from other domains to build and join shared and reusable data assets. Experience of working with Agile and Scrum in a large scalable Agile environment. This should include participation and progress reporting in daily standups. Cloud exposure to solutions implemented in either GCP (Google Cloud Platform), AWS (Amazon Web Services) Azure would be beneficial as well as having exposure to big data solutions would be advantageous. Exposure with data governance initiatives such as lineage, masking, retention policy, and data quality You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

Location: Bangalore - Karnataka, India - EOIZ Industrial Area Job Family: Artificial Intelligence & Machine Learning Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4(A) Job ID: R-46721-2025 Description & Requirements Introduction: A Career at HARMAN Technology Services (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs Work at the convergence of cross channel UX, cloud, insightful data, IoT and mobility Empower companies to create new digital business models, enter new markets, and improve customer experiences Role : Data Architect with Microsoft Azure + Fabric + Purview Skill Experience Required: 10+ Years Key Responsibilities of the role include: Data Engineer Develop and implement data engineering project including data lakehouse or Big data platform Knowledge of Azure Purview is must Knowledge of Azure Data fabric Ability to define reference data architecture Cloud native data platform experience in Microsoft Data stack including – Azure data factory, Databricks on Azure Knowledge about latest data trends including datafabric and data mesh Robust knowledge of ETL and data transformation and data standardization approaches Key contributor on growth of the COE and influencing client revenues through Data and analytics solutions Lead the selection, deployment, and management of Data tools, platforms, and infrastructure. Ability to guide technically a team of data engineers Oversee the design, development, and deployment of Data solutions Define, differentiate & strategize new Data services/offerings and create reference architecture assets Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Guide and inspire the organization about the business potential and opportunities around Data Network with domain experts Collaborate with client teams to understand their business challenges and needs. Develop and propose Data solutions tailored to client specific requirements. Influence client revenues through innovative solutions and thought leadership. Lead client engagements from project initiation to deployment. Build and maintain strong relationships with key clients and stakeholders. Build re-usable Methodologies, Pipelines & Models Create data pipelines for more efficient and repeatable data science projects Design and implement data architecture solutions that support business requirements and meet organizational needs Collaborate with stakeholders to identify data requirements and develop data models and data flow diagrams Work with cross-functional teams to ensure that data is integrated, transformed, and loaded effectively across different platforms and systems Develop and implement data governance policies and procedures to ensure that data is managed securely and efficiently Develop and maintain a deep understanding of data platforms, technologies, and tools, and evaluate new technologies and solutions to improve data management processes Ensure compliance with regulatory and industry standards for data management and security. Develop and maintain data models, data warehouses, data lakes and data marts to support data analysis and reporting. Ensure data quality, accuracy, and consistency across all data sources. Knowledge of ETL and data integration tools such as Informatica, Qlik Talend, and Apache NiFi. Experience with data modeling and design tools such as ERwin, PowerDesigner, or ER/Studio Knowledge of data governance, data quality, and data security best practices Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with programming languages such as Python, Java, or Scala. Experience with data visualization tools such as Tableau, Power BI, or QlikView. Understanding of analytics and machine learning concepts and tools. Knowledge of project management methodologies and tools to manage and deliver complex data projects. Skilled in using relational database technologies such as MySQL, PostgreSQL, and Oracle, as well as NoSQL databases such as MongoDB and Cassandra. Strong expertise in cloud-based databases such as Azure datalake , Synapse, Azure data factory and AWS glue , AWS Redshift and Azure SQL. Knowledge of big data technologies such as Hadoop, Spark, snowflake, databricks , and Kafka to process and analyze large volumes of data. Proficient in data integration techniques to combine data from various sources into a centralized location. Strong data modeling, data warehousing, and data integration skills. People & Interpersonal Skills Build and manage a high-performing team of Data engineers and other specialists. Foster a culture of innovation and collaboration within the Data team and across the organization. Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment. Candidates should be confident, energetic self-starters, with strong communication skills. Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire. Provide technical guidance and mentorship to the Data team Collaborate with other stakeholders across the company to align the vision and goals Communicate and present the Data capabilities and achievements to clients and partners Stay updated on the latest trends and developments in the Data domain What is required for the role? 10+ years of experience in the information technology industry with strong focus on Data engineering, architecture and preferably as Azure data engineering lead 8+ years of data engineering or data architecture experience in successfully launching, planning, and executing advanced data projects. Data Governance experience is mandatory MS Fabric Certified Experience in working on RFP/ proposals, presales activities, business development and overlooking delivery of Data projects is highly desired Educational Qualification: A master’s or bachelor’s degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics. Candidate should have demonstrated the ability to manage data projects and diverse teams. Should have experience in creating data and analytics solutions. Experience in building solutions with Data solutions in any one or more domains – Industrial, Healthcare, Retail, Communication Problem-solving, communication, and collaboration skills. Good knowledge of data visualization and reporting tools Ability to normalize and standardize data as per Key KPIs and Metrics Benefits: Opportunities for professional growth and development. Collaborative and supportive work environment. What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies. An inclusive and diverse work environment that fosters and encourages professional and personal development. You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description: Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications: Bachelor's degree in Engineering or a related field. 3 to 5 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description: Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications: Bachelor's degree in Engineering or a related field. 3 to 5 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

As a Data Model Designer, you will be responsible for structuring and organizing data to support scalable applications and reporting systems. Your role will play a crucial part in maintaining data consistency and reusability throughout the organization. Your key responsibilities will include developing and maintaining conceptual, logical, and physical data models, ensuring that these models align with reporting, analytics, and application requirements. You will collaborate with stakeholders to gather data requirements, normalize data, optimize relationships, and work closely with developers and DBAs to implement these models in production. To be successful in this role, you should have 6-9 years of experience in data modeling or business intelligence, a strong understanding of relational databases and data warehousing, and proficiency in data modeling tools such as PowerDesigner, dbt, and ER/Studio. You should possess the ability to interpret business needs and translate them into effective data structures, with a keen attention to detail. It would be advantageous if you have experience with dimensional modeling, including star/snowflake schemas, and familiarity with master data management concepts. Key Skills: er/studio, data warehousing, modeling, powerdesigner, relational databases, data modeling tools, business intelligence, master data management, data, dimensional modeling, dbt, data modeling,

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications Bachelor's degree in Engineering or a related field. 5 to 9 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

Job Description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Assistant Vice President Principal Responsibilities The FDS Data Team are seeking to recruit a Data Modeller with a passion for organising and transforming complex Finance data into actionable insights represented within data model structures that are fit for purpose. The role requires a strong analytical mindset, a good understanding of various data modelling techniques and tools with a proven track record. The individual should have exposure of designing and implementing efficient data models that cater to the data sourcing, storage and usage needs of the Finance business and/or Front-to-Back business domains within a global financial institution. Support the design and develop FDS conceptual, logical and application data models as per HSBC's Future State Architecture (Data Asset Strategy) and work across Finance business teams to drive understanding, interpretation, design, and implementation. Support Finance business and change teams to migrate to target state data models and Data Asset delivery, driving improvement on current feeds and data issues. Develop data modelling schemas aligned with Enterprise data models and supporting Finance Data Assets. Contribute to FDS program model development planning and scheduling. Continuously improve FDS data modelling estate adhering to risks, controls, security, and regulatory compliance standards. Advise and support Finance modelling data requirements that support new use case and data changes. Serve as FDS data modelling subject matter expert. Seek opportunities to simplify, automate, rationalise, and improve the efficiency of Finance IT and modelling solutions. Update and maintain the key FDS modelling artefacts, (i.e., Confluence, SharePoint, documents, reports, roadmap, and other domain artefacts). Provide data modelling and technical advice as well as maintain ongoing relationships. Provide feedback in a timely manner to ensure that model development or modification meets the business need. Requirements Minimum of 5 years' experience of Data management and modelling solutions working as a Data Modeller within the Financial Services sector is essential; preferably in a Treasury/Finance function and or related front office environment. Good communication skills with the ability to influence and present data models (as well as concepts) to technology and business stakeholders. Good collaboration skills with the ability to demonstrate experience achieving outcomes in a matrixed environment partnering with data modellers from other domains to build and join shared and reusable data assets. Experience of working with Agile and Scrum in a large scalable Agile environment. This should include participation and progress reporting in daily standups. Experience working with leading data modelling tools modelling documentation using tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio etc. Knowledge of data modelling standards and modelling technical documentation using Entity Relationship Diagrams (ERD) or Unified Modelling language (UML) or BIAN. Results oriented with ability to produce solutions that deliver organisational benefit. Understanding of issue and data quality management, prioritisation, business case development, remediation planning and tactical or strategic solution delivery Exposure with data governance initiatives such as lineage, masking, retention policy, and data quality Strong analytical skills and problem-solving, with the ability to work unsupervised and take ownership for key deliverables. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued By HSBC Electronic Data Processing (India) Private LTD***

Summary about Organization A career in our Advisory Acceleration Center is the natural extension of PwC’s leading global delivery capabilities. The team consists of highly skilled resources that can assist in the areas of helping clients transform their business by adopting technology using bespoke strategy, operating model, processes and planning. You’ll be at the forefront of helping organizations around the globe adopt innovative technology solutions that optimize business processes or enable scalable technology. Our team helps organizations transform their IT infrastructure, modernize applications and data management to help shape the future of business. An essential and strategic part of Advisory's multi-sourced, multi-geography Global Delivery Model, the Acceleration Centers are a dynamic, rapidly growing component of our business. The teams out of these Centers have achieved remarkable results in process quality and delivery capability, resulting in a loyal customer base and a reputation for excellence. . Job Description Senior Data Architect with experience in design, build, and optimization of complex data landscapes and legacy modernization projects. The ideal candidate will have deep expertise in database management, data modeling, cloud data solutions, and ETL (Extract, Transform, Load) processes. This role requires a strong leader capable of guiding data teams and driving the design and implementation of scalable data architectures. Key areas of expertise include Design and implement scalable and efficient data architectures to support business needs. Develop data models (conceptual, logical, and physical) that align with organizational goals. Lead the database design and optimization efforts for structured and unstructured data. Establish ETL pipelines and data integration strategies for seamless data flow. Define data governance policies, including data quality, security, privacy, and compliance. Work closely with engineering, analytics, and business teams to understand requirements and deliver data solutions. Oversee cloud-based data solutions (AWS, Azure, GCP) and modern data warehouses (Snowflake, BigQuery, Redshift). Ensure high availability, disaster recovery, and backup strategies for critical databases. Evaluate and implement emerging data technologies, tools, and frameworks to improve efficiency. Conduct data audits, performance tuning, and troubleshooting to maintain optimal performance Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. 13+ years of experience in data modeling, including conceptual, logical, and physical data design. 5 – 8 years of experience in cloud data lake platforms such as AWS Lake Formation, Delta Lake, Snowflake or Google Big Query. Proven experience with NoSQL databases and data modeling techniques for non-relational data. Experience with data warehousing concepts, ETL/ELT processes, and big data frameworks (e.g., Hadoop, Spark). Hands-on experience delivering complex, multi-module projects in diverse technology ecosystems. Strong understanding of data governance, data security, and compliance best practices. Proficiency with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner). Excellent leadership and communication skills, with a proven ability to manage teams and collaborate with stakeholders. Preferred Skills Experience with modern data architectures, such as data fabric or data mesh. Knowledge of graph databases and modeling for technologies like Neo4j. Proficiency with programming languages like Python, Scala, or Java. Understanding of CI/CD pipelines and DevOps practices in data engineering.

Job Title: Data Model Designer Location: Work From Office – Chennai Employment Type: Contract About The Role We are seeking a Data Model Designer to structure and organize data for scalable applications and reporting systems. Your work will be central to ensuring data consistency and reusability across the business. Responsibilities Develop and maintain conceptual, logical, and physical data models Ensure data models support reporting, analytics, and application needs Collaborate with stakeholders to gather data requirements Normalize data and optimize relationships Work with developers and DBAs to implement models in production Requirements 6-9 years of experience in data modeling or business intelligence Strong understanding of relational databases and data warehousing Experience with data modeling tools (e.g., PowerDesigner, dbt, ER/Studio) Ability to interpret business needs and translate them into data structures Strong attention to detail Nice To Have Experience with dimensional modeling (e.g., star/snowflake schemas) Familiarity with master data management concepts Skills: er/studio,data warehousing,modeling,powerdesigner,relational databases,data modeling tools,business intelligence,master data management,data,dimensional modeling,dbt,data modeling

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Modeler, you will collaborate with key stakeholders, including business representatives, data owners, and architects to model current and new data, contributing to data architecture decisions and solutions. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead data modeling efforts for various projects. - Develop and maintain data models for databases. - Ensure data integrity and quality in all data modeling activities. - Conduct data analysis to support business requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Strong understanding of database design principles. - Experience with data modeling tools such as ERwin or PowerDesigner. - Knowledge of data governance and data quality best practices. - Good To Have Skills: Experience with data warehousing concepts. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Noida office. - A 15 years full time education is required.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant - Senior Data Modeler - Life Sciences . We are seeking a Senior Data Modeler with deep expertise in the Life Sciences domain to provide thought leadership across data deliveries . The ideal candidate will have extensive experience in designing scalable, future-proof data models that support critical functions such as clinical research, drug development, regulatory compliance, supply chain management, and commercial operations . This role will focus on data modeling and domain expertise , ensuring models align with operational efficiency, analytics, and automation. Key Responsibilities Deep Domain Expertise : Develop conceptual, logical, and physical data models for core Life Sciences processes, including clinical trials, regulatory submissions, pharmacovigilance, manufacturing, and sales & marketing . Align data models with evolving business needs to support real-time and batch processing for transactional (OLTP) and analytical (OLAP) systems. Bridge business processes with data architecture, ensuring models enhance operational efficiency and enable advanced analytics. Collaboration & Leadership : Collaborate with key Life Sciences domain stakeholder groups including decision-makers (like R&D executives, regulatory affairs leaders), clinical data analysts, clinical researchers, and compliance teams. Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. Provide technical guidance and mentorship to junior data modelers and analysts. Facilitate review sessions and present model designs to stakeholders. Compliance & Regulatory Considerations: Ensure data models adhere to Life Sciences industry regulations, including FDA, EMA, HIPAA, GDPR, 21 CFR Part 11, and GxP guidelines. Incorporate data governance principles to ensure auditability, security, and regulatory reporting compliance. Technical Excellence : Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner , or equivalent) to develop and maintain models. Stay current with emerging trends and technologies in data management, data warehousing, and analytics. Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. Process Improvement : Identify opportunities for process improvements and automation within business data workflows. Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications Bachelor&rsquos degree in business information systems (IS), computer science or related field, or equivalent-related IT experience Extensive experience in data modeling and data architecture, specifically in the Life Sciences domain. Prior experience working closely with various key diverse stakeholder groups to capture detailed data requirements Proven expertise in designing and managing data models for clinical research, regulatory compliance, pharmacovigilance, supply chain, and commercial operations. Preferred Qualifications/ Skills Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Expertise in data modelling principles/methods including conceptual, logical & physical data models. Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required . Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required . Strong understanding of Life Sciences domain business processes, including clinical research, regulatory compliance, pharmacovigilance, supply chain, and commercial operations, etc. Ability to clearly translate complex data models into actionable business insights. Excellent analytical, problem-solving, and communication skills. Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. Knowledge of compliance and regulatory requirements (e.g., FDA, EMA, HIPAA, GDPR, 21 CFR Part 11, GxP ). Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities : Collaborating with business and technology teams to design conceptual, logical, and physical data models for the lending business domain. Using SAP Power Designer to create and manage data models. Ensuring data models align with data governance standards, data quality frameworks, and enterprise data architecture. Working closely with stakeholders to gather and analyze requirements related to CB Loan/Lending business processes. Defining relationships, data attributes, and structures to optimize data storage and retrieval. Supporting data integration and migration efforts by ensuring models are aligned with business rules and technology architecture. Participating in business development activities and contributing to thought leadership on data modeling and architecture best practices. Mandatory skill set s: Using SAP Power Designer to create and manage data models. Ensuring data models align with data governance standards, data quality frameworks, and enterprise data architecture. Preferred skill sets : SQL, ETL processes, and database technologies. Years of experience required : 4 – 7 yrs Education qualification : B.tech /MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP PowerDesigner Optional Skills Extract Transform Load (ETL), Structured Query Language (SQL) Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Vacancy with a company focused on digital transformation, specializing in intelligent automation, digitalization, data science & analytics, and mobile enablement. They help businesses improve cost efficiency, productivity, and agility by reducing turnaround time and errors. The company provides services and solutions including operations digital transformation consulting, next-gen shared services setup consulting, cognitive RPA deployment, and AI-enabled CX enhancement. Founded in 2020 ;with HQ in Gurugram, India; the Company is now operating from Noida, Mumbai, Hyderabad, and Bengaluru as well. Job Role:We are seeking a highly skilled and detail-oriented Data Modeler to join our Data Management team. The ideal candidate will be responsible for designing and implementing logical and physical data models to support enterprise data initiatives. This role requires close collaboration with business stakeholders, data architects, and engineers to ensure data is structured and accessible for analytics, reporting, and operational needs. The successful candidate will: Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. 7-10 Years industry implementation experience with one or more data modelling tools such as Erwin, ERStudio, PowerDesigner etc.  Minimum of 8 years of data architecture, data modelling or similar experience  5-7 years of management experience required  5-7 years consulting experience preferred  Experience working with dimensionally modelled data  Bachelor’s degree or equivalent experience, Master’s Degree Preferred  Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Job Types: Full-time, Permanent Pay: Up to ₹3,000,000.00 per year Benefits: Cell phone reimbursement Internet reimbursement Life insurance Paid sick time Paid time off Work from home Work Location: In person

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description: Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications: Bachelor's degree in Engineering or a related field. 3 to 5 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Job Description: Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks. Strong analytical, problem-solving, and communication skills. Qualifications: Bachelor's degree in Engineering or a related field. 3 to 5 years of experience in data modeling or a related field. 4+ years of hands-on experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams. Preferred Skills: Experience in cloud-based data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and real-time data processing. Certifications in data management, modeling, or cloud data engineering. Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultan t- Senior Data Modeler - Wealth Management. We are seeking a seasoned Senior Data Modeler with deep expertise in Wealth Management to provide thought leadership in data deliveries . This role focuses exclusively on data modeling and domain expertise , bridging wealth management business processes with robust data architecture to drive operational efficiency, advanced analytics, and automation. The ideal candidate will leverage their comprehensive understanding of key sub-business domains within Wealth Management to design scalable, future-proof data models that align with evolving business needs. Key Responsibilities Deep Domain Expertise : Leverage in-depth knowledge of key sub-business areas within Wealth Management such as portfolio management, risk analysis, client segmentation, and asset allocation, to design and refine data models. Develop data models that address core business functions and industry challenges, ensuring they are aligned with evolving operational needs. Translate complex business processes into well-structured data architectures that support both transactional (OLTP) and analytical (OLAP) environments. Collaboration & Leadership : Collaborate with diverse stakeholder groups including decision-makers, analysts, operational users, and compliance teams. Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. Build empathy-driven models that reflect the real-world needs and challenges of each user group. Provide technical guidance and mentorship to junior data modelers and analysts. Facilitate review sessions and present model designs to stakeholders. Compliance & Regulatory Considerations: Integrate industry-specific compliance and regulatory frameworks (e.g., SEC, FINRA, GDPR/CCPA) into data models to ensure data integrity and auditability. Work closely with compliance teams to ensure that data architectures meet all regulatory requirements relevant to the Wealth Management domain. Technical Excellence : Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner , or equivalent) to develop and maintain models. Stay current with emerging trends and technologies in data management, data warehousing, and analytics. Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. Process Improvement : Identify opportunities for process improvements and automation within business data workflows. Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications Bachelor&rsquos degree in business information systems (IS), computer science or related field, or equivalent-related IT experience Extensive experience in data modeling and data architecture, specifically in the Wealth Management domain. Prior experience working closely with various diverse stakeholder groups to capture detailed data requirements Proven expertise in designing and managing data models for wealth management processes (portfolio management, risk analysis, client segmentation, asset allocation, etc.). Preferred Qualifications/ Skills Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Expertise in data modelling principles/methods including conceptual, logical & physical data models. Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required . Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required . Strong understanding of Wealth Management business processes, including portfolio management, risk analysis, client segmentation, asset allocation, etc. Ability to clearly translate complex data models into actionable business insights. Excellent analytical, problem-solving, and communication skills. Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. Knowledge of compliance and regulatory requirements (e.g., SEC, FINRA, GDPR/CCPA). Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Principal Consultant - Senior Data Modeler - Retail domain. We are seeking a highly skilled Senior Data Modeler with deep expertise in the Retail domain to provide thought leadership across data deliveries. The ideal candidate will have extensive experience in designing scalable, future-proof data models that support key retail processes such as inventory management, pricing, sales, customer loyalty, and supply chain operations. This role focuses on data modeling and domain expertise, ensuring models align with operational efficiency, analytics, and automation. Key Responsibilities . Deep Domain Expertise: . Develop conceptual, logical, and physical data models for core Retail processes, including customer transactions, pricing and promotions, product catalog management, e-commerce, store operations, and supply chain logistics. . Align data models with evolving business needs to support real-time and batch processing for transactional (OLTP) and analytical (OLAP) systems. . Bridge business processes with data architecture, ensuring models enhance operational efficiency and enable advanced analytics. . Collaboration & Leadership: . Collaborate with key Retail domain stakeholder groups including decision-makers (like Retail executives, merchandising managers), analysts, operational users, and compliance teams. . Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. . Provide technical guidance and mentorship to junior data modelers and analysts. . Facilitate review sessions and present model designs to stakeholders. . Compliance & Regulatory Considerations: . Ensure data models adhere to retail industry standards and regulations, such as PCI-DSS for transaction security, GDPR/CCPA for customer data privacy, and consumer protection laws. . Incorporate data governance principles to ensure auditability, security, and regulatory reporting compliance. . Technical Excellence: . Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, or equivalent) to develop and maintain models. . Stay current with emerging trends and technologies in data management, data warehousing, and analytics. . Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. . Process Improvement: . Identify opportunities for process improvements and automation within business data workflows. . Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications . Bachelor&rsquos degree in business information systems (IS), computer science or related field, or equivalent-related IT experience . Extensive experience in data modeling and data architecture, specifically in the Retail domain. . Prior experience working closely with various key diverse stakeholder groups to capture detailed data requirements . Proven expertise in designing and managing data models for customer transactions, pricing, inventory, supply chain, and e-commerce data. Preferred Qualifications/ Skills . Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). . Expertise in data modelling principles/methods including conceptual, logical & physical data models. . Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. . Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required. . Strong understanding of Retail domain business processes, including customer transactions, pricing, inventory, supply chain, and e-commerce data, etc. . Ability to clearly translate complex data models into actionable business insights. . Excellent analytical, problem-solving, and communication skills. . Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. . Knowledge of compliance and regulatory requirements (e.g., PCI-DSS, GDPR/CCPA). Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President - Senior Data Modeler - Retail Banking. We are seeking a seasoned Senior Data Modeler with deep expertise in Retail Banking to provide thought leadership in data modeling and architecture. The ideal candidate will have extensive experience in designing scalable, future-proof data models that support key banking functions such as customer accounts, deposits, loans, credit cards, transactions, and payments. This role requires strong domain expertise, ensuring data models align with operational efficiency, analytics, and automation while adhering to industry regulations. Key Responsibilities . Deep Domain Expertise: Develop conceptual, logical, and physical data models for core Retail Banking processes, including customer onboarding, account management, deposits, lending, payments, risk management, and fraud detection. Align data models with evolving business needs to support real-time and batch processing for transactional (OLTP) and analytical (OLAP) systems. Bridge business processes with data architecture, ensuring models enhance operational efficiency and enable advanced analytics. . Collaboration & Leadership: Collaborate with key Retail Banking stakeholder groups including decision-makers, analysts, operational users, and compliance teams. Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. Provide technical guidance and mentorship to junior data modelers and analysts. Facilitate review sessions and present model designs to stakeholders. . Compliance & Regulatory Considerations: Ensure data models adhere to industry regulations, including Basel III, GDPR, CCPA, PCI-DSS, KYC, AML (Anti-Money Laundering), and SOX (Sarbanes-Oxley). Incorporate data governance principles to ensure auditability, security, and regulatory reporting compliance. . Technical Excellence: Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, or equivalent) to develop and maintain models. Stay current with emerging trends and technologies in data management, data warehousing, and analytics. Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. . Process Improvement: Identify opportunities for process improvements and automation within business data workflows. Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications . Bachelor&rsquos degree in business information systems (IS), computer science or related field, or equivalent-related IT experience . Extensive experience in data modeling and data architecture, specifically in the Wealth Management domain. . Prior experience working closely with various diverse stakeholder groups to capture detailed data requirements . Proven expertise in designing and managing data models for wealth management processes (portfolio management, risk analysis, client segmentation, asset allocation, etc.). Preferred Qualifications/ Skills . Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). . Expertise in data modelling principles/methods including conceptual, logical & physical data models. . Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. . Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required. . Strong understanding of Wealth Management business processes, including portfolio management, risk analysis, client segmentation, asset allocation, etc. . Ability to clearly translate complex data models into actionable business insights. . Excellent analytical, problem-solving, and communication skills. . Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. . Knowledge of compliance and regulatory requirements (e.g., SEC, FINRA, GDPR/CCPA). Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.