Director, Innovative Enterprise Data Product Lead
New
J
JobgetherData Product Management
Remote work opportunity anywhere in the United States, subject to applicable legal-entity restrictions.Full-TimeDirector
SalaryAnnual salary range of $185,500–$344,500
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Job Details
- Experience
- 10+ years of experience in pharmaceuticals, healthcare, technology, data, analytics, consulting, or a related environment; 5+ years of specialized experience in reference data, master data, metadata management, data standards, data governance, stewardship, semantic models, product management, or AI-ready data foundations.
- Required Skills
- Product ManagementStakeholder management
Requirements
- Bachelor’s degree in a related field; a Master of Science and/or MBA is strongly preferred.
- 10+ years of experience in pharmaceuticals, healthcare, technology, data, analytics, consulting, or a related environment.
- 5+ years of specialized experience in reference data, master data, metadata management, data standards, data governance, stewardship, semantic models, or AI-ready data foundations.
- Proven experience defining product vision, roadmaps, prioritization frameworks, and adoption strategies within complex matrixed organizations.
- Deep understanding of semantic data products, business definitions, data quality, lineage, and AI-ready data consumption patterns.
- Ability to partner with cross-functional teams including technology, analytics, governance, and operations to scale enterprise data products.
- Ability to connect technical data concepts with business and domain requirements.
- Excellent communication and presentation skills for senior-level stakeholders.
- Demonstrated leadership mindset to build alignment and drive continuous improvement.
- Approximately 20% travel required.
Responsibilities
- Own the product strategy, roadmap, prioritization, and lifecycle management for enterprise reference data, master data, metadata, and data standards.
- Define innovative data products that incorporate business meaning, semantic definitions, reusable measures, standards, metadata, lineage, and clear consumption patterns.
- Partner closely with data enablement teams to translate product strategy into executable delivery plans, align priorities, remove operational barriers, and ensure scalable and reliable enterprise capabilities.
- Collaborate with business, analytics, technology, governance, operations, and data product teams to identify high-value capabilities, prioritize investments, and reduce duplication across the organization.
- Drive product adoption through stakeholder engagement, clear consumption models, communication strategies, and continuous enhancement based on user needs and feedback.
- Establish product standards, governance routines, intake processes, service expectations, and value measures that support reliability, reuse, compliance, scalability, and measurable business impact.
- Monitor product performance, adoption, risks, dependencies, and business outcomes, using insights to guide prioritization and continuous improvement.
- Influence senior stakeholders and cross-functional teams to align enterprise data investments with broader strategic and business objectives.
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