Manage end-to-end partner data solution lifecycle and roadmap
Support VP, Consumer & Partner Data Solutions Leader’s product vision and strategy by defining target users/use cases, and business outcomes
Build and maintain business cases (impact/value, investment, risk dependencies)
Own analytical and data requirements discovery for new/enhanced data solution needs / use cases
Translate business and data requirements into user stories with clearly defined acceptance criteria in alignment with strategic roadmap
Create and manage Product Backlog in partnership with Engineering and Data Office, and functional stakeholders
Plan delivery and product releases via Agile/PI planning with Product Owner; manage capacity and resources
Partner with engineering/architecture to review: data models, data contracts, semantic layers, APIs, designs and standards
Lead stakeholder communications (roadmap reviews, product updates QBRs, newsletters)
Ensure product documentation, data catalogs, self-servicing tools and other governance artifacts are complete, current, discoverable and effective
Build new business cases for data solution, conduct benefits sizing and tracking, in partnership with users / consumers
Own end-to-end data product support and issue management, including triage, root-cause analysis, defect intake, prioritization, remediation workflows, and control evidence documentation.

8+ years relevant experience (or 10+ in lieu of degree)
5+ years in data/analytics product management, data management, or enterprise data delivery in large enterprises/consulting roles
Demonstrated experience managing end-to-end data/analytics product, or information lifecycle
Strong ability to translate business needs into data epics/stories with clear acceptance criteria, SLAs/SLOs, and measurable outcomes.
Demonstrated success building business cases and tracking benefits realization/ROI for enterprise data initiatives.
Hands-on analytical proficiency (e.g., SQL)
Experience driving enterprise adoption through stakeholder enablement, communications, self-service tools, documentation, and data literacy/training.
Hands-on capability in data reliability/operations including: observability, data quality, production support, triage, RCA, remediation workflows, release management, and control evidence.
Working knowledge of modern data architecture and platforms (cloud, lake/warehouse, ETL/ELT), data modeling, APIs/data services, and schema evolution/versioning patterns.
Strong cross-functional leadership in matrixed environments

VP, Product Manager – Internal Consumer, Partner Data Solutions

Key skills