Product Owner - II Enterprise Data

Job Description

Key Responsibilities

• Business Analysis & Requirements Management + Elicit, analyze, document, and validate business requirements. + Translate business needs into clear, actionable product requirements. + Perform impact analysis for proposed product, process, and data changes. + Ensure requirements are complete, accurate, and aligned with business objectives. + Support user acceptance testing and solution validation activities. + Partner with stakeholders to identify opportunities for process and data improvements.
• Data Analysis & Research + Conduct detailed analysis of enterprise data domains and datasets + Investigate data quality issues, operational challenges, and business impacts. + Perform root cause analysis and provide recommendations for resolution. + Conduct data profiling, data mapping, data modelling, validation, and business rule analysis. + Analyze external providers datasets to assess quality, coverage, and business applicability. + Research industry trends, external data sources, and emerging capabilities relevant to MCO's enterprise data strategy. + Perform comparative analysis of data providers, enrichment opportunities, and potential data solutions.
• Enterprise Data Management + Support initiatives related to: - Master Data Management (MDM) - Reference Data Management - Data Governance - Data Quality Management - Data De-Duplication - Data Retention & Lifecycle Management + Assist in defining business rules, matching logic, validation criteria, and governance processes. + Support onboarding, evaluation, and integration of new data sources. + Contribute to the development of data standards and stewardship practices. + Work closely with Architecture and Engineering teams to understand enterprise data models, data flows, and integration requirements.
• External Data Provider Collaboration + Work with external data providers to understand data structures, quality, coverage, and business applicability. + Assist in resolving provider-related issues and enhancement requests. + Conduct research and analysis to support strategic data decisions. + Maintain awareness of provider capabilities, roadmap changes, and industry trends.
• Product Ownership & Delivery + Own, manage, and prioritize the Enterprise Data product backlog. + Define clear user stories, acceptance criteria, business requirements, and functional specifications. + Lead backlog refinement and participate in Agile ceremonies, including sprint planning, reviews, and retrospectives. + Partner with Engineering and QA teams throughout the product development lifecycle to support release planning, testing, and validation. + Make informed trade-off decisions balancing business value, technical feasibility, delivery timelines, and risk. + Monitor product performance and identify opportunities for improvement after release.
• Stakeholder Management + Partner with Product Managers, Product Owners, Engineers, Architects, Operations teams, and Business stakeholders. + Communicate requirements, findings, recommendations, risks, and dependencies effectively. + Build strong working relationships across cross-functional teams. + Support discovery, roadmap planning, and prioritization activities. + Facilitate discussions to ensure alignment between business requirements and solution design.
• Continuous Improvement + Identify opportunities to improve product processes, data quality, and operational efficiency. + Contribute ideas for enhancing Enterprise Data capabilities and services. + Stay informed on industry trends, data management practices, and emerging technologies. + Promote a culture of continuous learning and improvement.

Job Requirements Qualifications & Experience

• Required Qualifications + Bachelor's degree in Business, Information Systems, Computer Science, Finance, Data Management, or a related field. + 8+ years of experience as a Product Owner, Business Analyst, Data Analyst, Data Product Analyst, or similar role. + Experience working with enterprise data products, master data, reference data, or shared data services. + Strong business analysis and requirements management skills. + Experience working with complex datasets, data models, data mappings, data flows, and integration requirements. + Experience within Compliance, RegTech, Financial Services, Capital Markets, Risk Management, or related industries. + Experience working with external data providers such as S&P Global, FactSet, LSEG/Refinitiv, Bloomberg, Dun & Bradstreet, Moody's, or similar organizations. + Strong analytical, problem-solving, communication, and stakeholder management skills. + Strong knowledge of Agile product delivery methodologies. + Experience with SQL, data analysis tools, data modeling concepts, and Agile product development environments. + Experience working with CI/CD, DevOps, and Behavior-Driven Development (BDD) methodologies. + Preferred: Familiarity with the AI product lifecycle, prompt engineering concepts, and ethical AI considerations.

Job Benefits

• • Opportunity to work on global products used by leading financial institutions. + Exposure to complex problem-solving across compliance, workflows, data, and automation. + A collaborative culture that values innovation, ownership, and continuous learning. + Competitive compensation and benefits aligned with the India market. + Career growth with pathways into senior product leadership, domain specialization, or cross-functional roles.