ED, Innovative Data Offerings and Products

Accountabilities:

• • Define and execute the vision, roadmap, prioritization, and adoption strategy for an enterprise portfolio of innovative data products and offerings, ensuring alignment with business strategy and measurable outcomes.
  • Lead the Innovative Data Products and Innovative Data Offerings teams, establishing clear priorities, accountability, alignment, and focus across product delivery and innovation initiatives.
  • Establish product management standards, governance frameworks, funding priorities, and operating models across customer, patient, commercial, and foundational data domains.
  • Partner with business, analytics, technology, data, and enterprise organizations to identify opportunities to increase data asset reuse, reduce duplication, and strengthen the value of existing capabilities.
  • Build and maintain strategic relationships with external data providers and technology vendors to evaluate innovative capabilities and support portfolio objectives.
  • Guide build-versus-buy decisions and ensure vendor-enabled solutions align with governance standards, portfolio priorities, business requirements, and expected value.
  • Own portfolio-level performance, stakeholder engagement, adoption, and business-value realization across priority data products and innovative offerings.
  • Define success measures, investment trade-offs, dependencies, and decision-making forums to direct resources toward the highest-value opportunities.
  • Represent the data product portfolio with senior executives and key stakeholders, communicating priorities, progress, risks, value realization, and decisions required to accelerate impact.
  • Drive consistent product management practices across teams while fostering an environment focused on innovation, collaboration, accountability, and measurable business outcomes.

  Requirements

  • Bachelor’s or master’s degree in Information Management, Computer Science, Business Administration, or a related field.
  • 12+ years of experience in data products, data strategy, analytics, technology, digital transformation, product management, or related enterprise leadership roles.
  • Proven experience leading enterprise data product portfolios, establishing strategic roadmaps, prioritizing investments, and translating business strategy into measurable outcomes.
  • Strong knowledge of product management standards, governance frameworks, funding models, operating models, adoption strategies, and value realization for enterprise data products.
  • Demonstrated ability to lead cross-functional organizations and influence senior executives across business, analytics, technology, data, and other enterprise functions.
  • Strong experience partnering with external data providers and technology vendors, including evaluating capabilities and aligning vendor relationships with strategic objectives.
  • Ability to make complex investment trade-offs and establish clear priorities across competing business needs and dependencies.
  • Strong strategic thinking, executive communication, stakeholder management, and influencing skills.
  • Proven ability to translate complex data and technology concepts into clear business strategies, product roadmaps, and actionable decisions.
  • Experience driving adoption and measurable business value from data assets at enterprise scale.
  • Experience in regulated industries such as pharmaceuticals, healthcare, data, analytics, or technology-enabled environments is strongly preferred.
  • Demonstrated leadership capabilities, including the ability to create clarity, motivate teams, build strong partnerships, and drive transformation across a complex organization.

  Benefits

  • Annual salary range of $236,600–$439,400, with the final offer determined by factors including skills, experience, and other relevant considerations.
  • Performance-based cash incentive.
  • Potential eligibility for annual equity awards depending on role level.
  • Comprehensive health benefits.
  • Life and disability insurance.
  • 401(k) plan with company contribution and matching.
  • Generous paid time off, including vacation, personal days, holidays, and other eligible leaves.
  • Remote work opportunity from anywhere in the United States, subject to applicable legal-entity restrictions.
  • Opportunity to work on enterprise-scale data strategy and innovative product initiatives with significant business impact.
  • Approximately 25% travel as required by the role.