Senior Director, Clinical Intelligence in Abbeyville, Colorado at Jobgether

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

This role offers the opportunity to lead the research, analytics, and evidence strategy behind healthcare outcomes and value measurement.
You will serve as a senior technical authority responsible for building rigorous ROI methodologies and demonstrating measurable impact for healthcare stakeholders.
The position combines advanced healthcare analytics, research leadership, and hands-on data science to influence clinical strategy and business decisions.
You will work closely with clinical, analytics, and cross-functional teams to transform complex data into actionable insights.
This opportunity is ideal for a health economist, actuary, or research leader with deep expertise in causal inference and healthcare outcomes.
The role provides the chance to shape industry-leading evidence frameworks while using innovative tools, including AI, to accelerate research capabilities.

The Senior Director, Clinical Intelligence will own the development of clinical outcomes and ROI methodologies, ensuring that evidence-based insights demonstrate healthcare impact and support strategic decision-making.

• Lead the development and ownership of ROI and clinical outcomes methodologies, identifying high-impact member populations and quantifying value delivered to healthcare stakeholders.
• Serve as the technical authority for outcomes research, presenting and defending methodologies with healthcare organizations, actuarial teams, research partners, and internal leadership.
• Build scalable evidence frameworks that can be applied across new populations, programs, and healthcare partnerships.
• Lead the clinical research agenda, producing high-quality evidence through white papers, publications, and external research initiatives.
• Partner with clinical and care delivery teams to translate research findings into improved care strategies and operational practices.
• Provide internal expertise on healthcare outcomes, research methodology, and value measurement to support organizational initiatives.
• Lead and mentor a high-performing analytics team while remaining directly involved in complex research and methodology development.
• Leverage AI tools, automation, and advanced analytics approaches to expand research capabilities and improve efficiency.
• Develop repeatable systems and processes that strengthen evidence generation and long-term scalability.

The ideal candidate is a seasoned healthcare research leader with extensive experience in health economics, actuarial analysis, and outcomes methodology. This professional should combine technical depth, research rigor, and the ability to communicate complex findings to diverse audiences.

• Master’s degree required in health economics, biostatistics, epidemiology, economics, or a related quantitative field; PhD strongly preferred.
• 12+ years of experience as a health economist, actuary, or similar healthcare analytics expert with demonstrated success developing and defending ROI and value-based care methodologies.
• 4+ years of experience leading and developing teams.
• Extensive experience with healthcare research, including published white papers, peer-reviewed studies, or similar external research contributions.
• Deep expertise in causal inference methods, including matched cohort designs, risk adjustment, and quasi-experimental approaches applied to healthcare outcomes.
• Strong hands-on experience working with healthcare claims data, including medical and pharmacy (Rx) data, for cost and utilization analysis.
• Proven ability to present ROI and clinical outcomes methodologies to payers, actuaries, and other technically sophisticated audiences.
• Experience partnering with clinical or healthcare delivery teams to apply research findings in real-world settings.
• Ability to work directly with analytical tools such as SQL, R, or Python to perform advanced analysis.
• Experience using automation, AI-powered tools, data modeling, or dashboarding solutions to scale analytical work.
• Familiarity with AI-native research and productivity tools and the ability to identify opportunities for responsible AI adoption.
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

The role offers a competitive compensation package and a flexible work environment designed to support employee well-being, professional growth, and long-term impact.

• Base salary range of $210,000 - $245,000 per year, plus bonus opportunities and benefits.
• Fully remote work environment with flexible location options.
• Unlimited paid time off (PTO).
• Medical, dental, and vision healthcare coverage.
• 401(k) retirement plan.
• Bonus compensation opportunities.
• Access to registered dietitian sessions.
• Opportunity to work on meaningful healthcare initiatives focused on improving outcomes and reducing costs.
• Collaborative culture with opportunities for professional growth and leadership development.