3847 Data Quality Jobs - Page 24

As a Principal Data Engineer at Skillsoft, you will play a crucial role in driving the advancement of Enterprise data infrastructure by designing and implementing the logic and structure for how data is set up, cleansed, and stored for organizational usage. You will be responsible for developing a Knowledge Management strategy to support Skillsoft's analytical objectives across various business areas. Your role will involve building robust systems and reusable code modules to solve problems, working with the latest open-source tools and platforms to build data products, and collaborating with Product Owners and cross-functional teams in an agile environment. Additionally, you will champion the standardization of processes for data elements used in analysis, establish forward-looking data and technology objectives, manage a small team through project deliveries, and design rich data visualizations and interactive tools to communicate complex ideas to stakeholders. Furthermore, you will evangelize the Enterprise Data Strategy & Execution Team mission, identify opportunities to influence decision-making with supporting data and analysis, and seek additional data resources that align with strategic objectives. To qualify for this role, you should possess a degree in Data Engineering, Information Technology, CIS, CS, or related field, along with 7+ years of experience in Data Engineering/Data Management. You should have expertise in building cloud data applications, cloud computing, data engineering/analysis programming languages, and SQL Server. Proficiency in data architecture, data modeling, and experience with technology stacks for Metadata Management, Data Governance, and Data Quality are essential. Additionally, experience in working cross-functionally across an enterprise organization and an Agile methodology environment is preferred. Your strong business acumen, analytical skills, technical abilities, and problem-solving skills will be critical in this role. Experience with app and web analytics data, CRM, and ERP systems data is a plus. Join us at Skillsoft and be part of our mission to democratize learning and help individuals unleash their edge. If you find this opportunity intriguing, we encourage you to apply and be a part of our team dedicated to leadership, learning, and success at Skillsoft. Thank you for considering this role.,

FCM is one of the world's largest travel management companies and a trusted partner for national and multinational organizations. With a 24/7 reach in 97 countries, FCM's flexible technology anticipates and resolves client needs, backed by experts offering in-depth local knowledge and a commitment to duty of care. As part of the ASX-listed Flight Centre Travel Group, FCM delivers the best market-wide rates, unique added-value benefits, and exclusive solutions. A leader in the travel tech space, FCM offers proprietary client solutions and provides specialist services through FCM Consulting and FCM Meetings & Events. We are seeking a skilled Azure Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in data engineering, working with Azure cloud services, and designing and implementing scalable data solutions. You will play a crucial role in developing, optimizing, and maintaining data pipelines and architectures, ensuring data quality and availability across various platforms. Key Responsibilities: - Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. - Build and optimize data storage solutions using Azure Data Lake, Azure SQL Database, and Azure Cosmos DB. - Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. - Implement data quality checks, data governance, and security best practices across data platforms. - Monitor, troubleshoot, and optimize data workflows for performance and scalability. - Develop and maintain data models, data cataloging, and metadata management. - Automate data integration and transformation processes using Azure DevOps and CI/CD pipelines. - Stay up-to-date with emerging Azure technologies and data engineering trends. Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - 6+ years of experience in data engineering with a focus on Azure cloud services. - Proficiency in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database. - Strong experience with SQL, Python, or other scripting languages. - Familiarity with data modeling, ETL design, and big data tools such as Hadoop or Spark. - Experience with data warehousing concepts, data lakes, and data pipelines. - Understanding of data governance, data quality, and security best practices. - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Skills: - Azure certification (e.g., Microsoft Certified: Azure Data Engineer Associate) is a plus. - Experience with Azure Logic Apps, Azure Functions, and API Management. - Knowledge of Power BI, Tableau, or other data visualization tools.,

Hitachi Energy is on a mission to advance the world's energy system towards sustainability, flexibility, and security. The transformers business unit offers a range of solutions and services to maximize the reliability and performance of transformer assets while minimizing life-cycle costs and environmental impact. As a part of the Global Supply Chain Management (SCM) organization, you will play a crucial role in driving sustainable transformation within the transformer business unit. Your responsibilities will include developing and implementing the SCM digital transformation strategy, optimizing SCM tools, leading major BU projects, deploying BU IT strategy, ensuring process governance and adherence, driving process excellence and continuous improvement, developing SCM competencies, managing KPIs and reporting, and collaborating cross-functionally. Key Responsibilities: - Develop and implement the SCM digital transformation strategy aligning with business objectives - Design a strategic roadmap for digital initiatives and prioritize key projects - Identify opportunities for enhancement in SCM tools and lead initiatives for improvement - Contribute to the design of new tools and system projects within Hitachi Energy/BU - Serve as the business lead for SCM digitalization projects and drive improvements in data quality - Ensure optimal SCM processes are maintained and implement continuous improvement projects - Design and deliver training programs focused on SCM processes and digital tools - Lead efforts to define, monitor, and optimize key SCM performance indicators - Act as a key liaison for cross-functional projects and support integration of SCM into broader business transformation initiatives Required Background: - Bachelor's degree in information technology, Supply Chain Management, or related field - 10+ years of experience in supply chain management with comprehensive knowledge of SCM processes - Proven track record of leading global digital transformation initiatives - Expertise in IT domains such as supply chain digitalization, S/4HANA, AI, and automation technologies - Strong analytical and problem-solving skills with a focus on implementing change - Experience in developing and delivering training programs for enhancing digital competencies within SCM teams Join us at Hitachi Energy to drive sustainable transformation and innovation in the energy sector!,

As the Director/Head of Data Engineering for India, you will be responsible for developing and maintaining the data strategy for Singapore implementation. Your primary goal will be to create a model implementation that can be replicated across wider PBWM Organisation for compliance in other jurisdictions. You will define and execute the data engineering strategy in alignment with business goals and technology roadmaps. Collaborating with the Chief Data Officer/Chief Operating Officer, you will understand the Critical Data Elements (CDE) and establish controls around them. Your role will involve designing data models, efficient data pipelines, ensuring data quality and integrity, collaborating with data science and analytics teams, and scaling data solutions. Additionally, you will oversee data security and compliance, continuously learn and implement the latest technologies, manage and train the data engineering team, and implement cloud migration for data with appropriate hydrations. Budgeting, resource allocation, implementing data products, ensuring data reconciliation, and upholding high standards and quality in data are also key aspects of this role. In this strategic and senior leadership position, you will oversee data strategy, data engineering, data infrastructure, and data management practices within Private Banking and Wealth Management. Your responsibilities will include managing and developing the data team, delivering outstanding customer-focused service, ensuring quality and quantity are equally prioritized, adhering to policies and procedures, and advocating Barclays values and principles. You will lead effective data management, compliance, and analytics to support business goals, enhance customer experiences, and improve operational efficiencies. Recruiting, training, and developing the data engineering team, fostering collaboration and innovation, providing strategic guidance, and defining KPIs aligned with PBWM goals will be part of your duties. Collaborating with executive leadership, you will ensure data initiatives support the bank's growth, profitability, and risk management. You will oversee budgeting for data-related initiatives, allocate resources efficiently, and track performance indicators for the data engineering team and infrastructure to drive continuous improvement. The purpose of your role is to build and maintain systems that collect, store, process, and analyze data to ensure accuracy, accessibility, and security. Your accountabilities will include building and maintaining data architectures pipelines, designing and implementing data warehouses and data lakes, developing processing and analysis algorithms, and collaborating with data scientists to deploy machine learning models. As a Director, you are expected to manage a business function, contribute to strategic initiatives, provide expert advice, manage resourcing and budgeting, ensure compliance, and monitor external environments. Demonstrating leadership behaviours such as listening, inspiring, aligning, and developing others, along with upholding Barclays Values and Mindset, will be key to excelling in this role.,

You will be joining Lifesight as a Data Engineer in our Bengaluru office, playing a pivotal role in the Data and Business Intelligence organization. Your primary focus will be on leading deep data engineering projects and contributing to the growth of our data platform team. This is an exciting opportunity to shape our technical strategy and foster a strong data engineering team culture in India. As a Data Engineer at Lifesight, you will be responsible for designing and constructing data platforms and services, managing data infrastructure in cloud environments, and enabling strategic business decisions across Lifesight products. Your role will involve building highly scalable, fault-tolerant distributed data processing systems, optimizing data quality in pipelines, and owning data mapping, transformations, and business logic. You will also engage in low-level system debugging, performance optimization, and actively participate in architecture discussions to drive new projects forward. The ideal candidate for this position will possess proficiency in Python and PySpark, along with a deep understanding of Apache Spark, Spark tuning, and building data frames. Experience with big data technologies such as HDFS, YARN, Map-Reduce, Hive, Kafka, and Airflow, as well as NoSQL databases and cloud platforms like AWS and GCP, are essential. You should have at least 5 years of professional experience in data or software engineering, demonstrating expertise in data quality, data engineering, and various big data frameworks and tools. In summary, as a Data Engineer at Lifesight, you will have the opportunity to work on cutting-edge data projects, collaborate with a talented team of engineers, and contribute to the ongoing success and innovation of Lifesight's data platform.,

The main objectives of this position involve leading and developing the AP, AR, GL, treasury, and IT functions while managing finance for 9 countries. It requires recording the financial status and monitoring the company's progress from a management and financial accounting perspective. Responsibilities include managing Finance & Accounting, ensuring deadlines are met, preparing and analyzing financial results, supporting management on tasks and special projects, and providing timely financial operating data for informed decision-making. Enhancing organizational efficiency, ensuring compliance, handling audits professionally, and reporting operational budgets and actual costs are key duties. For AP/AR/GL functions, responsibilities include managing these functions for all entities, improving accounting processes, maintaining necessary controls, supporting strategic decision-making, managing budgeting and forecasting, participating in projects, and ensuring reporting accuracy to relevant stakeholders. Regarding IT management, responsibilities involve overseeing the IT team, managing budgets, maintaining actuals, and ensuring team efficiency. Team management responsibilities include selecting, training, developing, and motivating the team, creating backup plans, and tracking team performance. Qualifications and technical job requirements include a minimum professional qualification in accounting, knowledge of accounting standards (especially IFRS), 15 years of experience (preferably in the shipping industry), team management expertise, exposure to ERP systems (specifically SAP), and strong Excel skills. The success criteria for this position include effective communication and organizational skills, management capabilities, proactive and communicative nature, proficiency in English, time management skills, ability to interact with other functions, systematic work approach, clear presentation of complex information, knowledge in statistical methods, analytical and independent work style, positive attitude, proactive attitude, energetic team spirit, enthusiasm, and commitment to tasks.,

As a member of the Intellectual Property Center of Excellence team at Walmart, you will play a pivotal role in supporting the global patent portfolio. Your responsibilities will include collaborating with patent attorneys, inventors, and business segments to facilitate the invention disclosure intake process, address patent-related queries, and generate dashboards and reports on internal patent statistics. The team's objective is to safeguard Walmart's intellectual property rights, including patents, trademarks, copyrights, and trade secrets. Your duties will involve various aspects of patent management, such as assisting patent attorneys in conducting training sessions for Walmart personnel, reaching out to employees in India to identify patentable innovations and draft invention disclosures, conducting patent searches, participating in internal patent team meetings, and maintaining an internal patent database. Additionally, you will be responsible for proposing and upholding internal best practices and procedures to support the company's patent program, responding to inventor and business inquiries, and ensuring data quality in the patent database. To excel in this role, you should have experience working with IP management systems like Anaqua, collaborating with engineers and R&D personnel, prioritizing workloads efficiently, and effectively managing multiple deadlines. Strong communication skills to convey complex technical concepts, a process-oriented mindset to streamline operations for enhanced efficiency, and a proactive approach to propose improvements will be beneficial in fulfilling the responsibilities of this position. At Walmart Global Tech, you will have the opportunity to work in a dynamic environment where your contributions can impact millions of individuals worldwide. The company values innovation, diversity, and inclusivity, driving its mission to empower associates, customers, and communities to live better. As an Equal Opportunity Employer, Walmart is committed to fostering a workplace that celebrates diversity and values unique perspectives, experiences, and identities. Minimum Qualifications: - Bachelor's degree in Legal Studies, Business Administration, or a related field, and 1 year of experience in legal, claims investigation, or a relevant area; OR - 3 years of experience in legal, claims investigation, or a related area. Preferred Qualifications: - Information not provided. Location: 4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli, India R-2069630,

Overview Mastercard is looking for a talented Software Engineering Director to join the Foundry New Product development team in our Pune location. In this role you will be a leading a highly agile team building exiting and innovative products delivered at scale to global markets. Our team is built on a foundation of exploration and development of new products, mining innovation internally, developing new product lines with emerging technology, managing new products from inception to market validation to shape the future of commerce with and for our customers. At Mastercard you will help define the future of commerce globally. This team will have a diverse focus both in terms of geography and variety of technology challenges driving hard to bring innovative payment solutions to market. Role Manage a team of highly skilled engineers and deliver software development projects using agile methodologies Defines requirements for new applications and customizations, adhering to standards, processes and best practices Research, design and document solutions that can scale globally Responsible for the project management, reporting and execution of software projects Lead and/or take part in external and internal events Strong passion for innovation and new technologies. Assess and contribute towards technology architecture and design Responsibilities Formally supervises and coaches a large group/team, or several Leaders/ Consultants and is responsible for business execution of goals and objectives. Ensures own teams compliance to goal setting and performance appraisal process Helps identify and coach top talent within own teams (includes direct reports and second-line reports) Provides strategic leadership related to specific applications and systems, or software-development methodologies Creates and sustains an environment of ingenuity and creativity and challenges the status quo to encourage innovation Oversees the management of the Software Engineering function and acts as an authority on high-level and complex decisions within the function Experiences Required Qualifications: Bachelor s degree in Information Technology, Computer Science, or a related field. 15+ years of software development experience with a strong track record of delivering enterprise-grade solutions. IT experience with demonstrated thought-leadership and functional influence and partnership demonstrated by a successful track record of enabling business through these technical decisions. Considered a thought leader and expert in Software Engineering as with experience in related IT disciplines Desired strong knowledge of card ecosystem including, Loyalty, Clearing, Fraud, Disputes, Issuer, Acquirer & Merchant domains. Deep understanding of software engineering concepts, methodologies, and Agile/SAFe Agile practices. Proven expertise in software architecture, design, and application development. Strong communication skills (verbal and written) and the ability to quickly learn and apply new technologies and frameworks. High energy, detail-oriented, proactive, and capable of working under pressure to meet deadlines. Strong collaboration and organizational skills with a high degree of initiative and self-motivation. Ability to work effectively in a matrixed, geographically distributed team environment. Excellent problem solving skills and a proactive approach to problem-solving. Solid understanding of high-performing secure applications with a strong grasp of architecture, performance, and security principles. Proficiency in Java-based systems and services, cloud technologies (Azure/AWS), AI/ML, Gen AI and microservices architecture. Expertise in Spring, RESTful services, API design principles, and best practices. Familiarity with data modeling, database design, data warehousing, Oracle, Redis, and reporting technologies. Strong knowledge of Mastercard privacy by design Knowledge of enterprise-level application frameworks and tools. Big Data & Analytics Expertise: oExperience designing and architecting high-volume data systems using technologies such as Hadoop, Snowflake, Databricks, and other modern data platforms. oStrong understanding of data pipelines, ETL/ELT processes, and distributed data processing frameworks (e.g., Spark, Hive). oAbility to build scalable, fault-tolerant data architectures that support real-time and batch analytics. oFamiliarity with data governance, data quality, and security best practices in large-scale data environments. All About You The ideal candidate for this position should have: Loves creating innovative products and technology solutions in a collaborative fun environment Advanced knowledge and understanding of modern software engineering concepts and methodologies is required. Strong leadership and people management skills. Strong analytical and problem-solving skills. Ability to quickly learn and implement new technologies, frameworks, and tools. Experience in product development and partnering with business teams to build the best solutions for our customers. Ability to support multiple concurrent activities and to interface with external / internal resources, working as a member of a geographically distributed project team. Strong communication skills -- both verbal and written. Strong relationship, collaboration skills and organizational skills Be skilled at explaining technical problems succinctly and clearly.

Job Snapshot Location: Hyderabad, Top Metropolitan Cities Job ID: JN -052025-96745 Category: TEK-Core Applications (CA) Location: Hyderabad, Top Metropolitan Cities Job ID: Category: TEK-Core Applications (CA) Job Summary Ruby on Rails Third Party API Integration Full stack Development Job Description: Responsible for the development and design of web applications and components. Design, code, test, and implement web sites and applications, for either internal or external uses. Troubleshoot and resolve issues surrounding performance, response times, capacity and system limitations. Responsible for creating and modifying documentation corresponding to websites. May collaborate with internal business partners, internal technology resources (database, system, networking) and with external vendors. Maintain and update websites and ensure data quality, integrity and consistency across organization. Requires both front-end (GUI) and back-end development experience. Assist in developing and designing web applications, components, services and API integrations. Collaborate with internal/external technical teams to align on appropriate design for requirements. Design, code, test, and implement technical requirements for internal and/or external uses. Assist in troubleshooting and resolving issues surrounding performance, response times, capacity, and system limitations. Assist in creating and modifying technical documentation while collaborating with internal business partners, internal technology resources (database, system, networking), and with external vendors. Maintain and update web applications, API integrations, portals and platforms and ensure data quality, integrity, and consistency across the organization using both front-end (GUI) and back-end development experience. Assist in maintaining existing features and in developing new features for existing Rails 5/6 application. Assist in the domain focused on electronic recyclables - inventory, scheduling, transportation, management, and processing API integrations with 3rd party companies and internal applications. Apply Get personalised tech job recommendations based on your skills.

Job Description Job Responsibilities: What you get to do in this role Design and implement comprehensive QA strategies for data pipelines, ensuring alignment with industry best practices. Work closely with data engineers, data scientists, and other stakeholders to understand requirements and provide feedback on data pipeline designs Create detailed test plans, test cases, and test scripts for data pipelines. Execute tests to identify defects and ensure data integrity. Develop and maintain automated test scripts using tools and frameworks suitable for Azure Data Factory and Databricks Conduct performance testing to ensure data pipelines meet performance and scalability requirements Track and manage defects throughout the development lifecycle, ensuring timely resolution and continuous improvement Maintain comprehensive documentation of test plans, test cases and test results Must Have: To be successful in this role, the ideal candidate must have Minimum of 05 years of experience in software and data testing. Atleast 03+ years experience with Azure Data Factory, Power BI and Azure Databricks is essential Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance) Proficiency in SQL, Python, and automated testing frameworks . Strong understanding of data pipeline architectures and ETL processes. Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment Desired: Relevant certifications in testing and Azure technologies are a plus Education: Bachelors Degree or above, preferably in Computer Science, Engineering or a related field.

Location: Mumbai, Hyderabad, Kolkata Department: Business Operations Type: Full-time Consulting (In Office) Responsibilities: Oversee a team of Field Health Coaches and ensure they are present, active, and effective at their assigned clinics. Visit clinics regularly to check on operations, guide the team, and observe how the program is being delivered. Train and coach team members on how to engage with patients, use the app correctly, and follow program protocols. Track daily performance metrics such as clinic attendance, number of patients engaged, data quality, and report submissions. Address any issues or roadblocks faced by coaches on the ground whether related to clinics, technology, or workflow. Build and maintain strong relationships with doctors and clinic staff to ensure long-term support for the program. Make sure team members follow clinic schedules, use the tools properly, and communicate clearly with patients. Support regular performance reviews and help plan training refreshers or corrective actions when needed. Education: Bachelor s degree in Life Sciences, Nutrition, Pharmacy, Nursing, Healthcare, or any related field. Experience Required: 2 4 years of experience in a field operation, team handling, or health program role. Previous exposure to working with healthcare professionals, clinic operations, or wellness programs is helpful. Experience managing field teams or supervising in-person engagement activities is a plus. Skills: Strong people and team management skills Good communication and interpersonal abilities Comfortable with field travel and daily clinic visits Practical problem-solving approach Ability to coach and guide teams effectively Confident using mobile apps and basic digital tools Organized, dependable, and responsive ","

As a Lead Data Engineer you will be responsible for: Leading a team of talented data engineers responsible for designing, building, and maintaining scalable data pipelines and infrastructure Work closely with cross-functional teams to ensure client data systems meet the highest standards of quality and performance Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive team environment Conduct regular performance reviews, provide feedback, and set goals for team members Identify and address skill gaps, and provide opportunities for professional development Plan, execute, and deliver data engineering projects on time and within scope Coordinate with stakeholders to gather requirements, set priorities, and define project timelines. Ensure projects align with overall business objectives and data strategy Oversee the design, development, and maintenance of data pipelines, ETL processes, and data warehouse Ensure data quality, integrity, and security across all data engineering projects. Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations. Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing Ability to build/drive reusable frameworks that can drive efficiency of the overall data system Has executed and lead multiple projects including on - streaming, batch, large data pipelines, etc. Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes. Required Tech Stack: Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc. Working knowledge of an ETL and/or orchestration tools like IICS, Metallion, Airflow, Azure Data Factory, AWS Glue, GCP Composer, etc. Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Hive, Big Query, etc. Proficient in Spark and can optimize Spark jobs with ease. Proficient in at least one programming language used in data engineering, such as Python (Non-negotiable) and Scala/Rust/Java Understanding of Medallion architecture pattern Has strong SQL knowledge along with optimization skills Required Non-Tech Stack Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients. Proficient in written and verbal communication and able to hold conversations with mid-management-level clients. Ability to recognize pragmatic alternatives vis- -vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact. Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation. Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team. Self-driven with a strong sense of ownership. Preferred Educational Qualifications B.E/B.Tech, MCA, M.Sc. (Mathematics, Statistics)

KIANA AI is a leader in Software Consulting Services, dedicated to harnessing the power of data to drive innovation and deliver exceptional value to our clients. We are seeking a highly skilled and experienced Senior Data Scientist to join our team and lead complex data-driven projects. Requirements Job Description: As a Senior Data Scientist, you will be responsible for developing advanced analytical models, leveraging machine learning techniques, and extracting actionable insights from large datasets. You will collaborate with cross-functional teams to solve challenging problems, improve decision-making processes, and contribute to the strategic direction of the company. Key Responsibilities: Lead the design, development, and implementation of advanced machine learning models and algorithms. Analyze large and complex datasets to uncover trends, patterns, and insights. Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions. Develop and maintain data pipelines and ETL processes to ensure data quality and availability. Perform exploratory data analysis, feature engineering, and model validation. Communicate findings and insights through clear and concise visualizations and presentations. Mentor junior data scientists and provide technical guidance to the team. Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. Qualifications: Masters or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proven experience (5+ years) as a Data Scientist, with a track record of successful projects. Strong proficiency in programming languages such as Python or R. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and libraries. Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical methods, data mining techniques, and predictive modeling. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Preferred Skills: Experience in a specific industry (e.g., finance, healthcare, retail) is a plus. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of natural language processing (NLP) and deep learning techniques. Experience with A/B testing and experimental design. About the Company This is placeholder text. To change this content, double-click on the element and click Change Content. Want to view and manage all your collections? Click on the Content Manager button in the Add panel on the left. Here, you can make changes to your content, add new fields, create dynamic pages and more. You can create as many collections as you need. Your collection is already set up for you with fields and content. Add your own, or import content from a CSV file. Add fields for any type of content you want to display, such as rich text, images, videos and more. You can also collect and store information from your site visitors using input elements like custom forms and fields. Be sure to click Sync after making changes in a collection, so visitors can see your newest content on your live site. Preview your site to check that all your elements are displaying content from the right collection fields.

Role and Responsiblities: Support model validation for various supervised and unsupervised AI/ML models pertaining to financial crime compliance. Validate data quality, feature engineering and preprocessing steps. Conduct robustness, sensitivity and stability testing. Evaluate model explainability using tools such as SHAP,LIME. Review model documentation, development code, and model risk assessments. Assist in developing and testing statistical and machine learning models for risk, fraud and business analytics. Key skills and tools: Programming: Python (must-have), R, SQL, ML libraries Tools: Jupyter, Git, MLFlow, Excel, Tableau/Power BI (for visualization), Dataiku Good technical writing and stakeholder communication Understanding of model risk governance, MRM policies, and ethical AI principles. .

AI Lead - Innovation & Product DevelopmentAbout UsKPMG is a dynamic and forward-thinking Professional service firm committed to leveraging cutting-edge artificial intelligence to create transformative products and solutions We are building a team of passionate innovators who thrive on solving complex challenges and pushing the boundaries of whats possible with AI Job SummaryWe are seeking an experienced and visionary AI Lead to spearhead our AI innovation and product development The ideal candidate will be a hands-on leader with a strong background in solution architecture, a proven track record in developing AI-based products, and deep expertise in Generative AI applications, including Agentic AI This role requires a comprehensive understanding of AI models, frameworks, and Agentic AI, along with exposure to GPU infrastructure, to design, build, and deploy scalable AI solutions You will drive our AI strategy, lead cross-functional teams, and transform complex ideas into tangible, market-ready products, with a strong understanding of enterprise requirements from a professional services perspective Key ResponsibilitiesStrategic Leadership & Innovation:o Define and drive the AI innovation roadmap, identifying emerging trends in AI, Generative AI and Agentic AI o Lead research, evaluation, and adoption of new AI models, algorithms, and frameworks o Foster a culture of continuous learning, experimentation, and innovation AI Product Development & Management:o Lead end-to-end development of AI-based products, from ideation to deployment and optimization o Collaborate with product managers, designers, and stakeholders to translate business requirements into viable AI solutions o Ensure successful delivery of high-quality, scalable, and performant AI products o Client Engagement & Solutioning: Work with multiple clients to understand requirements, design tailored AI solutions, develop proofs-of-concept (POCs), and ensure successful implementation in a professional services context Solution Architecture & Design:o Design robust, scalable, and secure AI solution architectures across multi-cloud platforms and on-premise infrastructure o Provide technical guidance and architectural oversight for AI initiatives, focusing on optimizing for GPU infrastructure o Evaluate and recommend AI technologies, tools, and infrastructure, including Large Language Models (LLMs) and Small Language Models (SLMs) on cloud and on-premise Team Leadership & Mentorship:o Lead, mentor, and grow a team of talented AI engineers, data scientists, and machine learning specialists o Conduct code reviews and ensure adherence to coding standards and architectural principles o Promote collaboration and knowledge sharing Technical Expertise & Implementation:o Hands-on experience in developing and deploying Generative AI applications (eg, LLMs, RAG, GraphRags , image generation, code generation), including Agentic AI and Model Context Protocol (MCP) o Proficiency with Agentic AI orchestration frameworks such as LangChain, LlamaIndex, and/or similar tools o Experience with leading LLM providers and models including OpenAI, Llama, Anthropic, and others o Familiarity with AI-powered tools and platforms such as Microsoft Copilot, GitHub Copilot etc o Strong understanding of various machine learning models (deep learning, supervised, unsupervised, reinforcement learning) o Experience with large datasets, ensuring data quality, feature engineering, and efficient data processing for AI model training o Deep understanding of GPU infrastructure, for AI model training or/ and inference Qualifications Bachelors or Masters degree in Computer Science, AI, ML, Data Science, or a related quantitative field 8+ years in AI/ML development, with at least 3 years in a leadership or lead architect role Mandatory: Proven experience in leading the development and deployment of AI-based products and solutions Mandatory: Extensive hands-on experience with Generative AI models and frameworks (eg, TensorFlow, PyTorch, Hugging Face, OpenAI APIs, etc), including practical application of Agentic AI Proficiency with Agentic AI orchestration frameworks such as LangChain, LlamaIndex, and/or similar tools Experience in leveraging and integrating various LLM providers and models, including but not limited to OpenAI, Llama, and Anthropic Familiarity with AI-powered development tools and platforms such as Microsoft Copilot, GitHub Copilot, and other code generation/assistance tools Strong understanding of solution architecture principles for large-scale AI systems, including multi-cloud platforms and on-premise deployments Mandatory: Exposure to and understanding of GPU infrastructure, especially NVIDIA, for AI workloads Experience with Large Language Models (LLMs) and Small Language Models (SLMs) on both cloud and on-premise environments Proficiency in programming languages such as Python, with strong software engineering fundamentals Familiarity with MLOps practices, including model versioning, deployment, monitoring, and retraining Mandatory: Demonstrated industry exposure to professional services, with a proven track record of working with multiple clients to solution requirements, conduct POCs, and understand enterprise-level needs Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to diverse audiences Strong problem-solving abilities and a strategic mindset

Job Description To ensure that Visa s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Internal AI & Data Science Practice group supports these partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Senior Managers who are equally passionate about the opportunity to use Visa s rich data to solve meaningful business problems. You will join one of the Data Science focus areas supporting an internal product and/or function at Visa, with a rotational opportunity within Data Science to gain broad exposure to Visa s business. We are looking for a seasoned individual contributor who is comfortable engaging with business owners, data enthusiasts, and technology teams. Successful candidates have strong experience in developing complex data solutions for business intelligence applications. This role will be hands-on and focused on building data pipelines, business intelligence solutions at scale and with a focus on sustained operational excellence. Responsibilities The BI Engineer, Internal AI & Data Science Practice, will be responsible for developing automated, scalable, and client-facing dashboards. We are looking for candidates with a proven history of developing BI dashboards, with strong proficiency in SQL, other programming languages in a Big Data environment, and data visualization tools Work collaboratively with Data Scientists, Data Engineer, Software Engineers and cross-functional partners to design and deploy Visa dashboards and related products Develop and maintain automated ETL pipelines using tools like Apache Airflow, Spark, Python, or HIVE to support internal reporting and ensure data accuracy, integrity, and consistency. Experience with data visualization using Tableau, Power BI or similar tools Utilize Visas data analytics capabilities, technology, and industry expertise to develop, standardize, and implement a streamlined BI architecture Participate in business requirements gathering, effort sizing, architecture planning and front-end designing of dashboards Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership. Define and build technical/data documentation and experience with code version control systems (for e.g., git). Ensure data accuracy, integrity and consistency Basic Qualifications 5 years of work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree (e.g. Master s, MBA, JD, MD) or 0 years of work experience with a PhD degree Preferred Qualifications 5 years of work experience with a bachelor s degree or 2 years of work experience with an advanced degree (e.g. Master s, MBA, JD, MD), or 0 years of experience with a PhD Experience in dashboard development and design using data visualization tools, preferably Tableau, is required Experience building and maintaining ETL processes in Hadoop, including data quality and testing Advanced knowledge of SQL with experience in Python, Spark, and exposure to scheduling tools like Apache Airflow Ability to communicate data-driven insights and convey actionable recommendations Experience working in an Agile or fast-paced and dynamic environment is a plus Excellent verbal and written communication skills and interpersonal skills Experience working with large scale data ingestion, processing and storage in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet, Avro, HBase, etc.). Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE s (Jupyter Notebooks).

Join Barclays as a Senior Data Analyst in our Solution Design team. The purpose of the Solution Design organization is to support is to defined / design technology and business solutions to meet organizational goals, including requirements gathering, data analysis, data architecture, system integration, and delivering scalable, high-quality designs aligned with both business and technical needs. To be a successful Senior Business Analyst, you should have experience with: Experience in delivering large-scale change in complex environments, acting as a thought leader in requirements documentation and workshop facilitation to gather, clarify, and communicate business needs effectively. Strong data analysis, data modelling skills, capable of performing data validations, anomaly detection and making sense of large volumes of data to support decision-making. Advanced SQL proficiency for querying, joining, and transforming data to extract actionable insights together with experience of data visualization tools (eg Tableau, Qlik, Business Objects). Effective communicator, able to understand complex technical concepts and translate them into clear, accessible language for diverse audiences. Skilled in liaising between business stakeholders and technical teams to achieve a clear and mutual understanding of data interpretations, requirements definition and solution designs. Experience working in Banking and Financial services, particularly in wholesale credit risk. Background in implementing data governance standards, including metadata management, lineage, and stewardship. Additional relevant skills given below are highly valued: Experience with Python data analysis and associated visualisation tools Familiarity with external data vendors for sourcing and integrating company financials and third-party datasets. Experience with wholesale credit risk internal ratings-based (IRB) models and regulatory frameworks. This role is for Chennai/Pune location as an Individual Contributor. Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. Execution of data cleansing and transformation tasks to prepare data for analysis. Designing and building data pipelines to automate data movement and processing. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. Documentation of data quality findings and recommendations for improvement. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as we'll as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

Embark your transformative journey with Solution Design Business Analyst - Vice President. The Solution Design Business Analyst will drive forward key strategic change initiatives for regulatory deliverables across Risk, Finance and Treasury. To be a successful Vice President- Business Analyst the incumbent should be able to: 10+ years of experience in business/data analysis to present complex data issues in a simple and engaging manner. Front to Back system designing and complex business problem solutioning with skills like data gathering, data cleansing, data validation. Analyze large volumes of data, looking for patterns, potential data quality issues, metrics analysis, turning analysis into insights. Capturing business requirements BRDs and translate into technical data requirements FRDs/ FSDs. Collaboration with stakeholders to ensure that proposed solutions meet their needs and expectations. Creation of operational design and process design to ensure that proposed solutions are delivered within the agreed scope. Support change management activities, including development of a traceability matrix to ensure proposed solutions are successfully implemented and embedded in the organization. Some other highly valued skills may include: Experience working within the financial services industry ideally within the banking sector in a Risk/Finance/Treasury role. Experience with data analysis tools such as SQL, Hypercube, Python and data visualization/reporting tools such as Tableau, Qlikview, Power BI, Advanced Excel. Experience in data analysis and preferably in data modelling and data architecture. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as we'll as job-specific technical skill. This role is for Pune location as an Individual Contributor . Purpose of the role To support the organisation, achieve its strategic objectives by the identification of business requirements and solutions that address business problems and opportunities. Accountabilities Identification and analysis of business problems and client requirements that require change within the organisation. Development of business requirements that will address business problems and opportunities. Collaboration with stakeholders to ensure that proposed solutions meet their needs and expectations. Support the creation of business cases that justify investment in proposed solutions. Conduct feasibility studies to determine the viability of proposed solutions. Support the creation of reports on project progress to ensure proposed solutions are delivered on time and within budget. Creation of operational design and process design to ensure that proposed solutions are delivered within the agreed scope. Support to change management activities, including development of a traceability matrix to ensure proposed solutions are successfully implemented and embedded in the organisation. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as we'll as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

At Amazon, we pride ourselves on being Earths most customer-centric company, and we're searching for exceptional leaders to join our dynamic team. As part of Amazon Robotics within Fulfillment Technologies & Robotics (FTR), our Global Operations-Artificial Intelligence (GO-AI) division plays a crucial role in revolutionizing automation through Computer Vision and Machine Learning technologies. GO-AI specializes in delivering high-quality data that powers AI and Machine Learning product lifecycles, utilizing both near real-time human-in-the-loop (NRT HITL) and offline annotations. Our work directly impacts Amazons ability to innovate and improve customer experiences through automated solutions. we're currently seeking a Manager II, Operations to join our GO-AI team. In this role, you'll lead a team of managers and subject matter experts, driving operational excellence and ensuring business continuity. Your responsibilities will extend beyond day-to-day management to include strategic planning, process optimization, and the development of high-performing teams. The ideal candidate will excel at orchestrating complex operations, demonstrating strong leadership in managing both people and processes. you'll be responsible for setting and achieving production and quality targets while fostering an environment of continuous improvement. Your ability to communicate effectively, both verbally and in writing, will be crucial as you collaborate with multiple stakeholders across the organization. This role offers an exciting opportunity to shape the future of AI operations at Amazon while developing your leadership skills in a fast-paced, innovation-driven environment. If you're passionate about building and leading teams, driving operational excellence, and contributing to innovative technology solutions, we want to hear from you. Join us in our mission to push the boundaries of whats possible in AI operations while delivering exceptional value to our customers worldwide. Leadership & Team Management: Lead and develop a team of 5-7 front-line managers/leads with an indirect span of ~100 team members Drive performance management, career development, and succession planning Make hiring and performance management decisions in partnership with HR Coach and mentor managers to develop leadership capabilities Operations Excellence Own SLA compliance and task completion targets for the organization Establish and maintain quality control processes and performance metrics Drive continuous improvement initiatives across multiple teams Manage sprint planning and team output optimization Execute capacity planning and resource allocation Strategic Initiative Management Lead end-to-end process improvement projects affecting multiple teams Spearhead global rollouts of new technologies and procedures Partner with cross-functional teams to resolve quality and performance barriers Develop and implement risk mitigation strategies Technical Expertise Oversee ML data quality procedures and standards Drive operational performance metrics and improvements Contribute to site-level strategy, capacity analysis and quality improvements Manage pilot programs for new technologies and procedures Strong analytical and problem-solving abilities Excellence in stakeholder management and communication Deep understanding of ML operations and data quality principles Proven track record of leading large-scale organizational changes Experience with Agile/Scrum/application of Gen-AI methodologies to lead AI-assisted operations Strong business acumen and strategic thinking capabilities Handled Global scope with significant influence on organizational strategy Bachelors degree or equivalent practical experience 7+ years of experience in operations management 3+ years of people management experience, including managing manager Experience with ML operations, data quality management, Fulfillment Operations or related field We are looking for candidates who can join work from Bangalore Onsite. Masters degree in Business Administration, Operations Management, or related field Experience in artificial intelligence or machine learning operations Track record of leading large-scale process improvement initiatives

The ideal Integration Data Engineer is a dynamic contributor, passionate about software development, and dedicated to making a meaningful impact within a team of smart, creative individuals. The successful candidate will be part of a team responsible for the development and support of integration solutions connecting modern SaaS including Salesforce, Workday, Workfront, Microsoft D365, traditional back-office systems and strategic data platforms. We seek a candidate experienced in data integrations, data transformations, query/database optimization, consuming web services and working with APIs. The candidate must be technically proficient with strong interpersonal, troubleshooting, and documentation skills. We need our engineers to be versatile, display leadership qualities, and be enthusiastic about taking on new problems. This role offers the opportunity to work on exciting projects and make a significant impact within the organization. Key Responsibilities Review Business Requirements to identify integration needs and design, develop, and test complex integration solutions. Develop and maintain scalable data pipelines and build out new API integrations for data transfer. Engage with key stakeholders to understand and define integration requirements. Collaborate with architects and senior technical leads to create and enhance complex integration components. Understand and document data structures and business rules within source systems. Contribute to the analysis, design, development, and delivery of integration projects by performing complex data mapping and data conversion activities Collaborate with other teams in Data Engineering and other Technology functions to deliver secure, reliable, robust, and scalable integrated solutions. Perform quality assurance and testing at the unit level. Troubleshoot and take ownership of issues in development, test, and production environments, including performance optimization and continuous tuning. Continuously learn and evaluate the latest development methods, tools, and technologies. Demonstrate strong problem-solving ability, logic, and analytical skills. Manage multiple projects in a fast-paced environment. Key Skills and Experience 3-5 years of experience as an integration engineer. Demonstrable experience within data engineering and data-related projects. Job Description Integration Data Engineer Hands-on project delivery experience within several data-related initiatives, including data design, data mapping, and data quality assessment. Experience building integrations with at least one integration platform eg SnapLogic, Boomi. Proficient in one or more data-related programming languages Experienced in Agile development. Knowledge of cloud platforms such as Azure and AWS. Experience with AI technologies and machine learning frameworks is a plus, as it will enhance our ability to innovate and improve our integration solutions. Driven to continually learn about and incorporate new technologies. Thrive in a self-driven environment. Strong interpersonal and communication skills.

Join Barclays as a Liquidity Transformation - Assistant Vice President role, where the role will hold responsibility for specific analysis, design and oversight elements of specific initiatives within the broader Finance Transformation program. You will be hands on supporting transformation activities to ensure outcomes align with finance architecture strategy. At Barclays, we dont just anticipate the future - we're creating it. To be successful in this role, you should have below skills: Bachelors Degree (BA/BS). Few years of strong Treasury/Financial Analysis experience eg funding, liquidity risk management, balance sheet analysis. Experience and strong knowledge of technology solutions to assist in defining and proposing solutions and improvements to reporting processes and data quality. Experience and strong knowledge of methodology and interpretation for regulatory reports such as FR2052a. Some other highly valued skills may include below: Understanding of principals of liquidity risk management Experience in maintaining reports and improving efficiency Experience in testing and implementing new processes / reports Excellent verbal and written communication. Ability to write effective, high-quality emails and documents Knowledge of Investment Banking and Financial Services products with focused understanding of broader Finance function Results oriented; ability to commit to and follow initiatives through to completion Able to multi-task in a fast paced, dynamic, high-pressured environment - managing changing priorities and tight deadlines Ability to pro-actively solve problems and escalate issues through the proper governance tools and channels Strong PC skills (Microsoft Suite including Excel, Word, Project). A strong, polished presence and ability to challenge opinions with confidence and professionalism Working knowledge of Visual Basic and/or SQL a plus Solid work ethic, high levels of motivation and self-starter qualities Proven analytical skills and ability to work with large amounts of information Knowledge and experience of the regulatory landscape and the changes impacting Foreign Banking Organizations in the USA You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as we'll as job-specific technical skills. This role is based in our Chennai office. Purpose of the role To develop business capabilities for Finance through key stages of functional design, data, end-to-end-process and controls, delivery, and functional testing. Accountabilities Functional Design: leveraging best practice concepts, and in collaboration with Line SMEs, support options analysis and recommendations as part of decision making. Data Analysis/Modelling/Governance: design conceptual data model underpinning all phases of the processes, and governance requirements in accordance with GDMS standards and principles. End-to-End Process & Controls - development of target process and controls design/documentation and operational runbooks and aligning these components with organisational and role/service model design definitions. . Delivery/Implementation Support: update design/functional requirements throughout the development cycle, and resolve RAIDS related to functional requirements and business processes. Project management for change programmes that have limited technology investment. Functional Testing: develop scripts and data to test alignment to requirement definitions, ahead of user testing cycles. Assistant Vice President Expectations Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

Context KPMG entities in India are professional service firms(s). These Indian member firms are affiliated with KPMG international limited. We strive to provide rapid, performance-based, industry-focused and technology-enabled service, which reflect a shared knowledge of global and local industries and out experience of the Indian business environment. We are creating a strategic solution architecture horizontal team to own, translate and drive this vision into various verticals, business or technology capability block owners and strategic projects. Job Description Role Objective: Senior ETL Developer will design, develop, and optimize Talend data pipelines, ensuring the seamless integration of data from multiple sources to provide actionable insights for informed decision-making across the organization. Sound understanding of databases to store structured and unstructured data with optimized modelling techniques. Should have good exposure on data catalog and data quality modules of any leading product (preferably Talend). Location- Mumbai Years of Experience - 3-5 yrs Roles & Responsibilities: Business Understanding: Collaborate with business analysts and stakeholders to understand business needs and translate them into ETL solution. Arch/Design Documentation: Develop comprehensive architecture and design documentation for data landscape. Dev Testing & Solution: Implement and oversee development testing to ensure the reliability and performance of solution. Provide solutions to identified issues and continuously improve application performance. Understanding Coding Standards, Compliance & Infosecurity: Adhere to coding standards and ensure compliance with information security protocols and best practices. Non-functional Requirement: Address non-functional requirements such as performance, scalability, security, and maintainability in the design and development of Talend based ETL solution. Technical Skills: Core Tool exposure - Talend Data Integrator, Talend Data Catalog, Talend Data Quality, Relational Database (PostgreSQL, SQL Server, etc.) Core Concepts - ETL, Data load strategy, Data Modelling, Data Governance and management, Query optimization and performance enhancement Cloud exposure - Exposure of working on one of the cloud service providers (AWS, Azure, GCP, OCI, etc.) SQL Skills- Extensive knowledge and hands-on experience with SQL, Query tuning, optimization, and best practice understanding Soft Skills- Very good communication and presentation skills Must be able to articulate the thoughts and convince key stakeholders Should be able to guide and upskill team members Good to Have: Programming Language: Knowledge and hands-on experience with languages like Python and R. Relevant certifications related to the role .

Are you driven by turning complex data into insights that shape commercial strategies and decision-making? Do you enjoy solving business challenges with data in a dynamic, collaborative environment? We are looking for a Commercial Data Analyst to join our growing Master Data Management team in Chennai, India. In this role, you will support our commercial functions by managing, analyzing, and improving master and transactional data related to sales, customers, pricing, and market performance. Your insights will directly support improved commercial performance, customer experience, and business growth. Primary Responsibilities Commercial Data Support : Assist the Master Data Management (MDM) team in ensuring high data quality and consistency for key commercial data objects such as customers, pricing, and sales hierarchies. Data Analysis & Insights : Analyze commercial data (e.g., sales performance, customer segmentation, pricing trends) to identify patterns, trends, and improvement opportunities. Data Validation : Ensure completeness, accuracy, and consistency of commercial master data across systems. Reporting : Develop and maintain dashboards and reports that provide actionable insights to stakeholders in sales, marketing, and business management. Collaboration : Work closely with commercial teams, master data stewards, and data owners to understand data needs and ensure alignment on data structures and definitions. Data Quality Management : Apply data profiling techniques to detect anomalies and support initiatives to improve and maintain data quality. Documentation : Help define and maintain documentation of data definitions, processes, and standards for commercial data. System Support : Support integration and consistency of commercial data across ERP, CRM, and analytics platforms. Data Projects : Contribute to data migration, cleansing, and enrichment efforts in relation to commercial systems and reporting structures. Qualifications As a Commercial Data Analyst, you bring both analytical acumen and collaborative skills that help turn commercial data into business value. Professional Skills: 3+ years of experience working with data analysis in a commercial, sales, or marketing context. Strong skills in data cleaning, analysis, and visualization of sales/customer-related data. Proficiency in tools such as Excel, SQL, and BI platforms (e.g., Power BI, Tableau). Experience with CRM and ERP systems (e.g. SAP ECC, SAP S4 Hana, C4C) is a strong advantage. Understanding of commercial metrics and KPIs (e.g., revenue, margin, customer growth, pricing). Experience working with master data domains like Customer, Pricing, and Product. Good understanding of data quality principles and ability to identify and correct data issues. Experience in supporting data consistency across platforms and contributing to system/data projects. Analytical and detail-oriented, with a keen eye for commercial patterns and data integrity. Business-minded and able to translate data into actionable insights for commercial stakeholders. Excellent communication and collaboration skills to partner effectively with sales and marketing teams. Structured, self-driven, and able to manage multiple tasks in a fast-paced environment. Proactive and curious, with a continuous improvement mindset. An exciting opportunity to shape commercial success through impactful data insights and quality management. Collaboration with global commercial and data teams in a dynamic, cross-functional environment. What we offer: Senior GL Accountant Zivile, Senior GL Accountant at our Shared Service Center in Kaunas on how one can develop within different Finance positions at NKT. The collaboration between different NKT countries world-wide is one reason Zivile enjoys her work in the company. Our company culture is created by all of us - everyday. Sign up to our Talent Pool No suitable job for you? Create a profile in our Talent Pool and stay informed about new job offerings.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary As an Advanced Analytics and Generative AI Developer, you will harness the power of large language models (LLMs), machine learning, natural language processing (NLP), and statistics to design, develop, and deploy advanced AI solutions. You will have a crucial role in optimizing generative AI models to improve business processes across various fields, working collaboratively with crossfunctional teams to integrate these models into scalable, secure cloudbased applications. Responsibilities Design and develop advanced generative AI applications, including agentbased chatbots, RAG applications, natural language processing systems, automated content creation tools, and texttoimage transformation technologies etc. Optimizing generative AI applications, including model finetuning, data management, and infrastructure enhancements to improve efficiency and performance. Deploy AI applications on cloud platforms, with a preference for Azure or AWS, ensuring robustness and security. Conduct advanced prompt engineering and model finetuning to tailor AI models to specific business applications. Collaborate closely with crossfunctional teams to embed AI models into existing business frameworks effectively. Stay informed on the latest advancements in generative AI, machine learning, NLP, and analytics technologies. Mandatory skill sets Comprehensive knowledge of machine learning, NLP, and statistical methodologies. Proficiency in Python, with a robust background in API integration, data processing, and managing AI model outputs. Familiarity with AI frameworks such as LangChain, LangGraph, Hugging Face Transformers, or similar tools. Excellent teamwork and communication skills to facilitate effective collaboration. Preferred skill sets Experience with vector databases like FAISS or Pinecone for semantic search and retrievalaugmented generation. Awareness of ethical AI practices, including bias mitigation and model fairness. Experience in developing cloudnative solutions and leveraging big data technologies. Years of experience required 58 years of experience in AI model development, with a strong emphasis on generative AI. Education qualification B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Master of Science Degrees/Field of Study preferred Required Skills Generative AI Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} No

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking 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 purposeled and valuesdriven 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 . & Summary Develop and publish standard or custom Power BI reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders Experience analyzing programs through the lens of client requirement metrics as well as business mindset Conceptual thinking and ability to find innovative ways to solve analytical problems Manage timely flow of business intelligence information to users Should have worked on Analytics consulting and implementation projects Working with multiple stakeholders and assisting them in technology related solutions Responsibilities Hands on Experience with Power BI, Database and willing to work as an individual contributor. Clear Understanding of Data Warehousing Concepts. Should Work with a data engineering team closely to perform data extraction and data transformation processes to create the datasets. Good Experience in different Categories of DAX functions like Time Intelligence Function, Filter Functions, Date Functions, Logical Functions, Text Functions, Number and Statistical Functions. Good experience with Visual level, Page level, Report level and Drill Through filters for filtering the data in a Report. Should work with OnPremises Data Gateway to Refresh and Schedule Refresh of the Dataset. Strong data transformation skills through Power Query Editor with familiarity in M language. Data Modelling knowledge with Joins on multiple tables and creating new bridge tables. Knowledge on PBI desktop features like Bookmarks, Selections, Sync Slicers & Edit interactions. Mandatory skill sets Knowledge of PBI Service features like creating import, scheduling extract refresh, managing subscriptions etc. Publishing and maintenance of Apps in Power BI. Also, knowledge on configuring Row Level Security and Dashboard level Security in Power BI Service. Experience in creating and publishing reports on both web and mobile layout. Able to Perform Unit Testing like functionality testing and Data Validation. Preferred skill sets Report Performance Optimization and Troubleshooting. Clear Understanding of UI and UX designing. Hands on Working Experience in SQL to write the queries. Very good communication skills must be able to discuss the requirements effectively with business owners. Years of experience required 5 to 10 yrs of Exp in Power BI. Education qualification B.Tech / M.Tech (Computer Science,Mechanical, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Powercloud Platform Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} No