Senior Vice President, POM Product Management

Senior Vice President, POM Product Management

We're seeking a future team member for the role of Senior Vice President, Product Management. This role is located in Pune, India.

In this role, you'll make an impact in the following ways

• Product strategy: define and execute the product strategy for enterprise data capabilities, aligning the roadmap to DSS priorities, platform needs, business outcomes, and the firm's broader data and AI strategy.

• Authoritative data masters: own the product roadmap for increasing enterprise consumption of authoritative data masters, including Unified Client Master, Unified Product Master, Security Master, and related reference-data capabilities.

• Migration and adoption: partner with platforms and hubs to identify where local, fragmented, or duplicative data sources remain in use, and develop practical migration and adoption plans toward authoritative enterprise masters.

• Requirements and delivery: convert platform adoption barriers into prioritized product requirements, backlogs, milestones, ownership, dependencies, acceptance criteria, and measurable delivery outcomes, using Agile/SAFe practices including PI planning.

• Resiliency through modernization: identify product priorities that strengthen resilience, reduce dependency on legacy data infrastructure, simplify integration patterns, and improve the reliability of foundational data services.

• Data quality: define product capabilities that improve data-quality issue detection, triage, remediation, feedback loops, and accountability for data at its source.

• Governance: embed ownership, lineage, metadata, data-quality standards, permissible-use expectations, and regulatory requirements into product design and delivery.

• Accessibility through Data Mesh: make governed enterprise data easier to register, certify, discover, access, and reuse across reporting, analytics, business applications, and AI-enabled solutions.

• Commercial value through Data Products: identify reusable data-product opportunities, validate demand, define target consumers, connect products to measurable use cases, and track adoption and realized benefits.

• Consumption experience: shape capabilities such as APIs, events, self-service onboarding, reusable integration patterns, reference implementations, and implementation guidance that make authoritative data easier for platforms to consume.

• Product measures: define and track measures at the platform and application level, including master-data consumption, adoption progress, data-product usage, implementation milestones, service performance, and business outcomes.