Senior Product Owner I – Enterprise Data

Job Description

Key Responsibilities:

• Product Strategy & Roadmap Management
• Define and own the vision, strategy, and roadmap for Enterprise Data products and capabilities.
• Develop and maintain product roadmaps aligned with organizational goals, customer needs, and product strategies.
• Drive prioritization decisions across multiple stakeholders, balancing strategic investments, business priorities, technical considerations, and operational needs.
• Establish product success metrics and monitor outcomes against strategic objectives.
• Identify opportunities to improve data quality, governance, scalability, operational efficiency, and product enablement.
• Evaluate industry trends, emerging technologies, and market opportunities to inform product direction.
• Product Ownership & Delivery
• Own and manage the Enterprise Data product backlog.
• Ensure requirements are clearly documented, communicated, and understood by delivery teams.
• Lead backlog refinement sessions and actively participate in Agile ceremonies.
• Partner with Engineering and QA teams throughout the product development lifecycle.
• Make informed trade-off decisions balancing business value, technical feasibility, delivery timelines, and risk.
• Ensure successful delivery of high-quality solutions that meet stakeholder expectations.
• Enterprise Data Product Leadership
• Lead the evolution of enterprise data products that provide authoritative information for organizations, legal entities, securities, and reference data.
• Drive initiatives related to:
• Master Data Management (MDM)
• Reference Data Management
• Data Governance
• Data Quality Management
• Data De-Duplication
• Data Retention & Lifecycle Management
• Establish business ownership, stewardship models, and governance processes for critical data assets.
• Define business rules and standards that promote consistency and reuse across MCO productsEnsure enterprise data capabilities support both current and future platform requirements.
• Data Architecture & Platform Strategy
• Partner closely with Architecture and Engineering teams to define the long-term evolution of MCO's enterprise data ecosystem.
• Provide product leadership on enterprise data architecture decisions, ensuring solutions align with business objectives and enterprise standards.
• Drive discussions around:
• Enterprise Data Models
• Master Data Architecture
• Data Integration Patterns
• Data Lineage and Traceability
• Metadata Management
• Data Distribution and Consumption Models
• API and Event-Driven Data Architectures
• Evaluate architectural trade-offs and their impact on scalability, maintainability, and business value.
• Ensure enterprise data capabilities are designed for reuse across multiple products and business functions.
• Stakeholder Management & Cross-Functional Leadership:
• Build strong relationships across Product, Engineering, Architecture, Operations, and Business teams.
• Facilitate alignment on priorities, dependencies, scope, and delivery plans.
• Communicate product vision, roadmap updates, risks, and progress to stakeholders at all levels of the organization.
• Act as a trusted advisor and subject matter expert for enterprise data initiatives.
• Lead cross-functional initiatives involving multiple product and technology teams.

Job Requirements

Required Qualifications:

• Bachelor's degree in Business, Finance, Information Systems, Computer Science, Data Management, or a related field.
• 12+ years of Product Management, Product Ownership, Data Product Management, or related experience.
• Proven experience managing enterprise data products, shared data platforms, or master data initiatives.
• Strong experience developing and executing product roadmaps.
• Deep understanding of:
• Master Data Management (MDM)
• Reference Data Management
• Data Governance
• Data Quality Management
• Data De-Duplication
• Data Retention & Lifecycle Management
• Experience defining and evolving enterprise data products in partnership with Architecture and Engineering teams.
• In depth understanding of enterprise data architecture, data structures, master data management, data modeling, data integration patterns, data lineage, metadata management, and data distribution strategies.
• In-depth understanding of Security and Business entity master.
• Experience working with external data providers such as S&P Global, FactSet, LSEG/Refinitiv, Bloomberg, Dun & Bradstreet, Moody's, or similar organizations.
• Experience within Compliance, RegTech, Financial Services, Capital Markets or Risk Management.
• Strong knowledge of Agile product delivery methodologies.
• Excellent communication, leadership, stakeholder management, and influencing skills.
• Experience leading enterprise-wide data governance or master data management programs.
• Familiarity with cloud-based data platforms and modern data ecosystems.
• Demonstrated ability to lead complex cross-functional initiatives.
• 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 Responsibilities

Product Strategy & Roadmap Management

Product Ownership & Delivery

Enterprise Data Product Leadership

Data Architecture & Platform Strategy

Job Benefits

Stakeholder Management & Cross-Functional Leadership:

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.