Dir, Innovative Enterprise Data Product Lead

Accountabilities: 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.

Define and maintain product requirements around data quality, metadata coverage, lineage, standards adoption, stewardship, and semantic consistency.

Translate complex business and data requirements into clear product priorities and actionable roadmaps.

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.

Requirements

Bachelor’s degree in a related field required; 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, with significant experience in data products, data strategy, product management, or analytics enablement.

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.

Demonstrated ability to define product vision, roadmaps, prioritization frameworks, use cases, adoption strategies, value measures, and governance routines within complex matrixed organizations.

Strong understanding of semantic data products, business definitions, data quality, metadata, lineage, standards, stewardship, and AI-ready data consumption patterns.

Proven experience partnering with data enablement, platform, technology, analytics, business, governance, and operations teams to execute strategy and scale enterprise data products.

Strong ability to connect technical data concepts with business and domain requirements, ensuring solutions are practical, scalable, and aligned with enterprise priorities.

Excellent communication and presentation skills, with the ability to explain complex data concepts clearly to senior leaders and diverse cross-functional stakeholders.

Strong product management, stakeholder engagement, influencing, and strategic decision-making capabilities.

Ability to operate effectively in a fast-paced, ambiguous environment, adapt to changing priorities, and maintain focus on measurable outcomes.

Demonstrated leadership mindset with the ability to build alignment, encourage adoption, and drive continuous improvement across multiple teams.

Benefits

Annual salary range of $185,500–$344,500 , with final compensation determined by relevant skills, experience, and other applicable factors.

Performance-based cash incentive.

Potential eligibility for annual equity awards, depending on role level and applicable programs.

Remote work opportunity anywhere in the United States, subject to applicable legal-entity restrictions.

Comprehensive health benefits, including health, life, and disability coverage.

401(k) plan with company contribution and matching.

Generous paid time off package, including vacation, personal days, holidays, and other eligible leaves.

Approximately 20% travel required.

Opportunity to lead strategic enterprise data initiatives with significant visibility across business, technology, analytics, and governance functions.

Collaborative and inclusive environment focused on innovation, professional development, and measurable business impact.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

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