Sr. Manager, Gov & Ent Data Product

Responsibilities

• Define product vision, success metrics, and roadmap for enterprise data governance and data product initiatives.
• Develop requirements, user stories, acceptance criteria, process flows, and release plans.
• Operationalize standards for metadata, business definitions, lineage, ownership, stewardship, classification, retention, quality, and access controls.
• Partner with engineering on ingestion, transformation, cataloging, quality monitoring, access provisioning, and change management.
• Partner with analytics and business teams on governed reporting datasets, canonical KPIs, semantic layers, and self-service experiences.
• Collaborate with privacy, legal, security, and compliance teams on consent, privacy-by-design, regulatory readiness, and appropriate consumer/identity data use.
• Drive adoption through communications, documentation, enablement, training, and launch planning.
• Track KPIs including data quality, catalog coverage, lineage completeness, access SLA performance, reporting accuracy, policy compliance, resolution time, and adoption.

Qualifications

• 8+ years in product management, data product management, data governance, analytics product ownership, or enterprise data platform delivery.
• Experience with governed datasets, reporting assets, data catalogs, data quality capabilities, APIs, identity graphs, consumer data assets, or analytics platforms.
• Strong understanding of metadata, lineage, quality, stewardship, access controls, classification, retention, and policy enforcement.
• Experience working across data engineering, analytics, BI/reporting, privacy, security, compliance, marketing, product, and operations.
• Familiarity with consumer data and identity concepts, including profiles, consent, identifiers, audience attributes, segmentation, identity resolution, and activation controls.
• Ability to turn ambiguous business and governance needs into actionable roadmaps, requirements, and delivery plans.
• Bachelor's degree in business, computer science, information systems, data science, analytics, engineering, or equivalent experience.