Executive Director, Analytics Engineering

Accountabilities:

• • Establish and champion enterprise-wide analytics rigor, including statistical standards, validation protocols, quality assurance practices, and consistent methodologies.
  • Define frameworks for measurement, performance metrics, reporting, and analytical standards that enable reliable decision-making across the organization.
  • Build and institutionalize analytics engineering as a core discipline, including reusable data pipelines, analytics automation, and production-grade analytical solutions.
  • Develop scalable capabilities and frameworks that allow analytical solutions to be transferred efficiently across use cases and business areas.
  • Connect analytics initiatives across Commercial, Medical, Market Access, and other functions to improve collaboration, consistency, and organizational impact.
  • Architect systems and operating models that make analytics a repeatable, trusted, and efficient enterprise capability.
  • Support data and analytics governance, ensuring outputs meet applicable regulatory, ethical, quality, and compliance expectations.
  • Partner closely with business leaders and functional stakeholders to bring data-driven insights and challenge assumptions where appropriate.
  • Translate complex analytical and technical concepts into clear recommendations for both technical and non-technical audiences.
  • Balance strategic design with operational execution, ensuring frameworks and capabilities translate into practical business outcomes.
  • Establish structures that improve the full analytics lifecycle, from data ingestion and engineering through analysis and ultimately to business decision-making.
  • Influence enterprise priorities by bringing a systems-level perspective on how analytics capabilities can drive better decisions and scalable impact.

  Requirements:

  • Bachelor’s or master’s degree in Business Administration, Computer Science, Engineering, or a related field.
  • 10+ years of experience in data and analytics, with demonstrated success building scalable systems, frameworks, platforms, or capabilities.
  • Proven experience establishing analytics standards, governance frameworks, measurement methodologies, or platform capabilities.
  • Strong experience working cross-functionally across complex organizations, ideally within Commercial, Medical, Market Access, life sciences, healthcare, or another regulated environment.
  • Experience with analytics engineering, business intelligence tools, data infrastructure, and scalable analytical solutions.
  • Strong understanding of the end-to-end data lifecycle, from data ingestion and engineering through analysis and decision-making impact.
  • Excellent communication and stakeholder management skills, with the ability to influence technical and non-technical audiences.
  • Systems-thinking mindset with the ability to understand how analytics capabilities connect across an enterprise.
  • Builder mentality and demonstrated ability to create structure from ambiguity and scale successful approaches.
  • Ability to balance long-term strategic architecture with hands-on operational execution.
  • Strong leadership, collaboration, and influencing skills, with the ability to establish alignment across diverse functions and priorities.

  Benefits:

  • Annual salary range of $236,600–$439,400, with final compensation determined by relevant skills, experience, and other applicable factors.
  • Performance-based cash incentive opportunity.
  • Potential eligibility for annual equity awards depending on role level.
  • Comprehensive health benefits.
  • Life and disability insurance.
  • 401(k) retirement savings plan with company contribution and matching.
  • Generous time-off package, including vacation, personal days, holidays, and other leave programs.
  • Fully remote position available anywhere in the United States.
  • Opportunity to influence enterprise-wide analytics strategy and build scalable capabilities with broad organizational impact.
  • Collaborative environment focused on innovation, learning, and meaningful outcomes.
  • Reasonable accommodations available throughout the recruitment process and employment for qualified individuals with disabilities.