Executive Director, Analytics Engineering [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Executive Director, Analytics Engineering based in United States.

This senior leadership role will shape the foundation for analytics at enterprise scale, enabling teams to make smarter, more data-driven decisions.
You will establish the systems, standards, frameworks, and capabilities required to make analytics consistent, trusted, and repeatable.
The role spans multiple business domains, connecting analytics efforts across Commercial, Medical, Market Access, and other functions.
You will champion analytical rigor, governance, quality assurance, and scalable analytics engineering practices.
Success will require a balance of visionary thinking and pragmatic execution, turning ambiguous challenges into durable enterprise capabilities.
You’ll work with both technical and non-technical stakeholders to influence strategy and create solutions that can be reused across diverse business needs.
This fully remote U.S. opportunity offers significant scope to institutionalize analytics as a strategic organizational capability.

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.

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!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.