Senior Manager, Data Products

Senior Manager, Data Product Management & Governance Key

Role Responsibilities:

• Establish and lead a structured intake process for product demand; assess use cases, define value, clarify requirements, and prioritize work based on strategic alignment, feasibility, risk, and business impact.
• Lead the business-facing roadmap for assigned data products from concept through publication, adoption, improvement, and retirement.
• Translate product objectives, success measures, backlog priorities, and release-ready requirements for delivery teams.
• Lead development and adoption of business definitions, domain taxonomies, and product content to improve data discoverability, understanding, and reuse.
• Partner with Alation and catalog teams to enable a consistent self-service data marketplace experience.
• Define and operationalize data product ownership, stewardship roles, decision rights, and critical issue paths.
• Maintain business context, data definitions, documentation, access expectations, and lifecycle controls with domain leaders and stewards.
• Serve as primary business-facing partner to data engineering, architecture, platform, and ecosystem product teams.
• Track adoption/usage, feedback, and business value; improve usability, reduce duplication, increase reuse, and accelerate responsible analytics/AI enablement.
• Provide leadership and mentorship for data curation, stewardship, metadata enrichment, and marketplace operations.

• Bachelor’s degree (or advanced degree or equivalent experience) in business, information systems, data analytics, supply chain, engineering, healthcare, or related field.
• 8+ years in data governance, data/digital product management, or enterprise data platforms.
• Experience in regulated global enterprise environments;
  Med Tech/healthcare/pharma/life sciences/supply chain/quality/manufacturing preferred.
• Experience with data-as-a-product, business glossary, metadata management, data catalog/marketplace, data stewardship, data quality, access governance, and product lifecycle management.
• Strong ability to translate business needs into product requirements, executive narratives, measurable outcomes, and delivery priorities; excellent written/verbal/facilitation/management skills.
• Helpful: modern data platforms, semantic layers, medallion architecture, data pipelines, analytics platforms, AI/ML enablement, enterprise data controls.

• Alation (or similar) enterprise data catalog/marketplace/metadata management.
• Business glossaries, data dictionaries, domain taxonomies, data contracts, certification standards, governed data product documentation.
• Supply chain/manufacturing data, quality systems, product lifecycle controls, or enterprise planning processes.
• Operating models, RACI, governance forums, scalable decision frameworks.
• Ability to operate in ambiguity and balance strategic/tactical priorities.

• Up to 10% travel; fully onsite attendance policy.

Benefits (as stated):
Eligible for medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, group legal insurance; consolidated retirement plan and 401(k); long-term incentive; specified time-off benefits and parental leave (per plan terms).