10 Data Discovery Jobs

About us: Analytics Information Management (AIM) is a global community driving data-driven transformation across Citi in multiple functions to create actionable intelligence for business leaders. We are a fast-growing organization collaborating with Citi businesses and functions worldwide. What do we offer: The Data Management team oversees the implementation of best-in-class data quality measurement programs globally in the retail consumer bank. Key areas of support include: - Regulatory Support: Executing business data quality measurements in alignment with regulatory programs like CCAR, AML, etc. - Metrics Design: Identifying critical data elements in different systems, designing data quality rules, and testing and validating these rules. - Data Governance: Standardizing data definitions and ensuring measurement consistency per definitions across systems, products, and regions. - DQ Scorecards: Publishing monthly/quarterly scorecards at the country level and preparing executive summary reports for senior management. - Issue Management: Identifying defects, investigating root causes for issues, and following up with stakeholders for resolution within SLAs. - Audit Support: Identifying cases on control gaps, policy breaches, and providing data evidence for audit completion. Expertise Required: - Analytical Skills - Data analysis and visualization - Proficiency in formulating analytical methodology, identifying trends, and patterns in data - Generating actionable business insights (Preferred) - Tools and Platforms: - Proficiency in SAS, SQL, Python (Added advantage) - Proficiency in MS Excel, PowerPoint, and VBA Preferred - Domain Skills: - Good understanding of data definitions and data discovery - Data Lineage - Data quality framework - Process improvement experience related to compliance and data quality initiatives - Hands-on experience in KPI design, issue resolution, and remediation activities - Identifying control gaps and providing recommendations per data strategy (Preferred) - Knowledge of Banking products and Finance Regulations Soft Skills: - Ability to identify, articulate, and solve complex business problems and present them to management in a structured and simplified form - Excellent communication and interpersonal skills - Strong process/project management skills - Ability to collaborate effectively across multiple functional areas - Thrives in a dynamic and fast-paced environment Educational and Experience Requirements: - MBA / Master's degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, and related fields - 5 to 8 years of hands-on experience in delivering data quality solutions, with a minimum of 2 years of experience in the Banking Industry,

As a Senior Data Analyst (C11) at Citi's Analytics Information Management (AIM) team, you will be part of a global community focused on driving data-driven transformation across the organization. Your role is crucial in creating actionable intelligence for business leaders by managing the implementation of best-in-class data quality programs in the retail consumer bank sector. Your responsibilities will include supporting various critical areas such as regulatory compliance, metrics design, data governance, DQ scorecard preparation, issue management, and audit support. You will be required to utilize your analytical skills to perform data analysis, visualization, and generate actionable business insights. In addition to your analytical expertise, proficiency in tools like SAS, SQL, Python, MS Excel, PowerPoint, and VBA will be advantageous. You should have a good understanding of data definitions, data lineage, data quality framework, and process improvement related to compliance and data quality initiatives. Knowledge of banking products and finance regulations will be beneficial. Your soft skills, including problem-solving abilities, communication, interpersonal skills, project management, and the ability to collaborate across functional areas, will be essential for success in this dynamic and fast-paced environment. To qualify for this role, you should hold an MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. A Post Graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields is preferred. You should have 5 to 8 years of hands-on experience in delivering data quality solutions, with at least 2 years of experience in the banking industry. Join us at Citi and be part of a team that is shaping the future of data-driven decision-making across the organization. (Note: The above job description is a summarized version extracted by Assistant),

As a BigID Administrator with MongoDB expertise at SecureMax, you will be an integral part of the data governance and privacy team. Your role will involve installing, configuring, and maintaining the BigID platform in enterprise environments, focusing on data discovery, classification, and compliance. Additionally, you will be responsible for managing MongoDB databases, performing tasks such as tuning, backup, recovery, and security hardening. Your key responsibilities will include customizing BigID workflows and policies to meet compliance requirements, monitoring system performance, troubleshooting issues, and collaborating with data governance, security, and compliance teams to align platform capabilities with business needs. You will also be required to generate reports and dashboards for audits and compliance reviews, as well as support integration between BigID and MongoDB data sources. To be successful in this role, you should have at least 6 years of experience in BigID administration, strong hands-on expertise with MongoDB, familiarity with data privacy regulations and compliance frameworks, proficiency in scripting for automation, and experience working in Linux/Unix environments. Strong analytical and troubleshooting skills, excellent communication, and documentation abilities are also essential. Preferred qualifications include BigID certification, MongoDB certification, experience with cloud platforms, knowledge of other data governance tools, experience in the financial services industry, and a background in large-scale or global enterprise environments. Soft skills such as problem-solving, communication, teamwork, and the ability to work in a fast-paced DevOps environment are highly valued. To apply for this position, please email your resume to careers@techsmic.com, mentioning the position you are applying for and providing details such as total years of experience, relevant work experience, current and expected CTC, notice period, current location, highest education, certifications, willingness to relocate to KSA and the Middle East, marital status, and number of dependents. Join us at SecureMax and contribute to shaping the future of software security within the Cybersecurity and Technology Controls division for a leading bank in Saudi Arabia.,

As a Senior Data Analyst (C11) at Citi's Analytics Information Management (AIM) team, you will be an integral part of a global community dedicated to driving data-driven transformation across the organization. Your primary focus will be on creating actionable intelligence for business leaders by implementing best-in-class data quality measurement programs within the retail consumer bank on a global scale. Your responsibilities will include supporting critical areas such as regulatory compliance by executing business data quality measurements in alignment with programs like CCAR and AML. You will also play a key role in designing metrics, standardizing data definitions, preparing scorecards, managing data governance, identifying and resolving issues, and providing support for audits. To excel in this role, you must possess strong analytical skills, with the ability to analyze and visualize data, formulate analytical methodologies, identify trends and patterns, and generate actionable business insights. Proficiency in tools like SAS, SQL, Python, MS Excel, PowerPoint, and VBA will be advantageous. Additionally, a good understanding of data definitions, data lineage, data quality frameworks, and process improvement related to compliance and data quality initiatives is essential. Experience in designing KPIs, issue resolution, remediation activities, and identifying control gaps will be beneficial. Ideal candidates should hold an MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. A background in Computer Science, Mathematics, Operations Research, Econometrics, or Management Science is preferred. You should have 5 to 8 years of hands-on experience delivering data quality solutions, with at least 2 years in the Banking Industry. In addition to technical skills, soft skills such as the ability to solve complex business problems, excellent communication, interpersonal skills, process/project management abilities, and the capacity to work effectively across functional areas will be crucial. You should thrive in a dynamic, fast-paced environment. If you are excited about leveraging your expertise to drive data-driven transformation and create actionable intelligence within a global banking environment, we encourage you to apply for this challenging and rewarding position.,

As a key member of the team reporting to the RingCentral CISO, you will collaborate closely with local leadership to lead and orchestrate day-to-day tasks and business initiatives. Your primary responsibility will be to oversee and lead the local Security Operations, Compliance, Application Security, and Trust teams in India. Your role will involve developing and implementing security policies and procedures to safeguard the organization's data and systems effectively. You will lead security teams and coordinate efforts across various departments in multiple regions, ensuring compliance with relevant global and in-country regulations and standards. Additionally, you will drive vendor risk management, customer trust programs, and oversee security operations-related programs like incident response, vulnerability management, and threat intelligence. Furthermore, you will be responsible for maintaining solutions for firewalls, WAFs, IDS/IPS, and endpoint security infrastructure. Your role will also involve leading security engineering efforts to design and implement secure systems and applications. Regular security assessments and audits will be conducted under your guidance to identify and mitigate risks effectively. You will also formulate data discovery techniques for structured and unstructured data in collaboration with engineering teams. To be successful in this role, you should hold a Bachelor's degree or an Advanced Degree in Computer Science, Information Technology, Cybersecurity, or possess relevant technical security certifications such as SANS. You must have a minimum of 15 years of extensive experience in IT and cybersecurity roles, demonstrating a proven track record in managing security teams and projects. Possession of security certifications like CISSP, CISM, CISA, CCSP, OSCP, CEH, etc., will be advantageous. You should have an in-depth understanding of cybersecurity principles and best practices, along with experience in compliance frameworks such as ISO 27001, NIST, and GDPR. Strong technical skills in areas like network security, application security, data protection, and security architecture are essential. Proficiency in risk management, supply chain security, and incident response is required. Your leadership and management skills will be crucial in effectively leading security teams and projects. Excellent communication skills are necessary for interacting with stakeholders, customers, and auditors at all levels. Analytical and problem-solving abilities will help you identify and address security challenges efficiently.,

As a Regional Solutions Engineer at Data Dynamics, you will play a crucial role in technical pre-sales and customer management. Your responsibilities will include gathering business and technical requirements from customers, coordinating technical information, providing demonstrations, and positioning our products effectively. You will research customer requirements thoroughly and ensure supportability considerations. You will be tasked with evaluating customers" business needs and translating them into technical and licensing requirements. In the case of a Proof of Concept (POC) or sale, you will collaborate with the sales representative to review the work. For existing customers targeted for upsell or cross-sell opportunities, you will work closely with the customer success manager and global support team, offering a seamless customer experience. Your role will involve setting up and conducting demonstrations and POCs independently. You will define success criteria with customers and sales representatives, monitor goal achievement throughout the POC process, and present the outcomes to Data Dynamics Sales and customer decision-makers. Post-sale, you will be available to assist or lead the installation based on time zone and resource availability. Given your daily interactions with new and existing customers, understanding their business objectives, technical capabilities, and constraints, you are expected to be a customer advocate. Your feedback on business processes, technical issues, and potential enhancements will be invaluable in driving continuous improvements and ensuring customer success. In addition to the above responsibilities, you will be involved in script writing, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or internal meetings may be necessary. At Data Dynamics, we prioritize delivering an exceptional customer experience. We foster a collaborative, challenging, fun, and innovative work environment. If you are a customer-centric individual passionate about developing scalable data-driven software, we would love to have a conversation with you. **Qualifications:** - Proficiency with Windows, Linux, Docker, and Kubernetes - Knowledge of SQL, Postgresql, Elasticsearch, File/NAS, Object Storage, Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword search, Regex, Data Governance, GDPR, HIPAA, CCPA - Experience with Microservices based applications, ITILv4, Project Management, and Data Migration - Previous experience in presales and integration - Strong problem-solving, presentation, and communication skills - Ability to work effectively in a team environment - Background in data management or related field is a plus - Bachelor's degree in Computer Science, Engineering, or related field,

We are looking for a full-time IICS, SaaS MDM Developer to join our team. Your main responsibilities will include developing and maintaining Informatica MDM/EDC mappings using IICS and SaaS, designing data cleansing routines, and creating validation rules using Informatica DQ. You will also be involved in testing, debugging, and providing full-life cycle development support for Informatica MDM and IICS, SaaS. Your key responsibilities will involve developing and maintaining Informatica MDM/EDC mappings using IICS and SaaS, designing and implementing data cleansing routines and validation rules leveraging Informatica DQ, testing and debugging mappings to ensure accuracy and performance, contributing to migration and modernization projects transitioning from traditional MDM to SaaS MDM, collaborating with architects, DQ, ETL, and QA team members to deliver high-quality solutions, analyzing and optimizing MDM Match and Merge configurations, integrating REST SaaS APIs, Business/Publish events, and task flows, performing data discovery, profiling, uniqueness and completeness analysis, and relationship mapping, and creating and maintaining technical documentation including use cases, technical specifications, and mind maps. The requirements for this role include having 4+ years of experience with Informatica MDM SaaS projects, hands-on experience with CDI, CAI, or CDQ, proven expertise in at least one migration or modernization project from traditional MDM to SaaS MDM, strong knowledge of MDM Match and Merge concepts including trust, survivorship, and match strategies, proficiency in REST SaaS APIs, DQ rules, task flows, and XQuery scripting, experience with data discovery, profiling, testing, and debugging mappings, and Informatica certifications are a plus. Personal attributes we are looking for in the ideal candidate include excellent problem-solving and analytical skills, a strong ability to work independently and collaboratively in team settings, effective communication and documentation skills, and attention to detail with the ability to create and maintain technical documents and mind maps.,

Role & responsibilities Implement and manage data discovery, data masking, tokenization and encryption solutions to protect sensitive information. Utilize SecuPi as the preferred tool for data security operations. Collaborate with cross-functional teams to ensure data security measures are aligned with business requirements. Stay updated with the latest trends and best practices in data security. Ability to communicate effectively with other teams. Preferred candidate profile Should have at least 4 years of experience with Data Masking technology. Proficiency in tokenization and encryption techniques. Strong analytical and problem-solving skills Customer relationship Management Stakeholder Management and Team management.

Hi, We are hiring Data discovery and classification engineer for Bangalore location, please find the below details of the Opportunity: Job Description Summary: We are seeking a skilled Data Discovery & Classification Engineer to join our data management team. The ideal candidate will be responsible for identifying, classifying, and protecting sensitive data across the organization, ensuring compliance with data protection regulations and internal policies. Key Responsibilities: 1. Onboarding Data Sources: Work with IT and data teams to integrate new data sources into the existing data management platform. (e.g., Teams, OneDrive, file storage, APIs). Monitor data source health and connectivity; resolve any ingestion issues. Automate inventory updates where possible using scripts or tools. Create and maintain detailed documentation for each data source records, including metadata, data lineage, along with onboarding process. 2. Maintaining Inventory of Data Sources: Maintain an up-to-date inventory of all data sources, ensuring each source is accurately cataloged and classified. Regularly monitor data sources for changes or updates, ensuring the inventory reflects the current state of data assets. Generate reports on the status and progress of data sources, highlighting any issues or areas for improvement. 3. Data Classification: Create and maintain classification categories. Apply appropriate tags and labels to data to facilitate easy retrieval and management. Adjust classification rules based on changing business needs and policies. 4. Metrics and Reporting: Develop dashboards and reports to track onboarding status, classification accuracy, and data inventory health. Track key performance indicators (KPIs) such as: Number of data sources onboarded Percentage of classified vs. unclassified data Automation and Process Improvement: Identify opportunities to automate data onboarding and classification processes. Create and maintain scripts to automate data extraction and classification. Propose and implement improvements to data ingestion pipelines and workflows. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Discovery & Classification Engineer or in a similar role. Strong knowledge of data discovery and classification tools and technologies (e.g., Congruity 360, Microsoft Purview, Big ID etc.). Excellent analytical and problem-solving skills. Ability to work independently and as part of a team.

Role & responsibilities Data Discovery - Experience in design and architecting - solutions: Thales CipherTrust, Big ID Preferred candidate profile