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.