Director, Innovative Customer Data Product Lead
New
J
JobgetherData Products, Healthcare
The position is remote within the U.S.Full-TimeDirector
Salary$185,500–$344,500 per year
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Job Details
- Experience
- 10+ years of experience across pharmaceutical, healthcare, technology, data, analytics, consulting, or related environments; 5+ years of domain expertise in customer data.
- Required Skills
- Product ManagementStakeholder management
Requirements
- Bachelor's degree in a relevant field; Master's degree, MBA, or related advanced qualification is strongly preferred.
- 10+ years of experience across pharmaceutical, healthcare, technology, data, analytics, consulting, or related environments.
- Substantial experience in data products, data strategy, product management, or analytics enablement.
- 5+ years of domain expertise in customer data, payer/HCP data, omnichannel analytics, customer engagement, commercial analytics, data governance, or AI-ready semantic data products.
- Demonstrated experience defining product vision, roadmaps, prioritization frameworks, and governance models in complex, matrixed organizations.
- Strong understanding of semantic data products, business definitions, data quality, metadata, lineage, standards, governance, and AI-ready data consumption patterns.
- Proven ability to work with data enablement, platforms, technology, analytics, business, governance, and operations teams.
- Strong communication, stakeholder management, and influencing skills.
- Ability to bridge technical data requirements with business and domain priorities.
- Strong product leadership, commercial thinking, strategic planning, and ROI/value measurement capabilities.
- Approximately 20% domestic and/or international travel required.
Responsibilities
- Own the end-to-end product strategy, roadmap, prioritization, and lifecycle management for customer data products across payer, HCP, omnichannel, and engagement domains.
- Define innovative, reusable data products that incorporate business definitions, semantic meaning, metrics, metadata, lineage, standards, governance, and clear consumption patterns.
- Partner closely with data enablement and technology teams to translate strategy into executable delivery plans, align priorities, remove operational barriers, and ensure products are scalable, reliable, and enterprise-ready.
- Collaborate with business, analytics, technology, governance, operations, and data product teams to identify high-value capabilities, reduce duplication, and align investments with enterprise priorities.
- Drive product adoption through stakeholder engagement, enablement, feedback loops, value measurement, and continuous enhancement.
- Establish product standards, governance routines, intake processes, service expectations, and performance measures.
- Translate complex business requirements into clear data product requirements and communicate product strategy to senior leadership.
- Monitor product performance and prioritize enhancements to ensure meaningful value across customer targeting and engagement activities.
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