Novartis
Director Medical Value & Enablement
$186K–$344K
East Hanover · Director · Full-time · Posted Oct 22, 2026
- Experience
- 10 or more years; cross-enterprise experience in pharmaceuticals or healthcare, including differing roles in strategy, transformation, organizational effectiveness, or capability leadership.
- Education
- Bachelor’s degree in business or life sciences or healthcare required; advanced degree with organizational leadership, data and analytics, or a related discipline preferred.
About the job
Leads strategy and cross-functional transformation for US Medical Affairs, including AI-enabled initiatives, change adoption, and measurable organizational and patient-impact value.
What you'll do
- Advise leaders and lead strategic planning, developing evidence-based strategies, business cases, operating models, and roadmaps.
- Orchestrate complex transformations from opportunity identification through adoption and value realization, coordinating cross-functional partners and NOCC execution.
- Identify and shape AI, automation, analytics, and digital use cases; develop value measures and executive communications to guide decisions and adoption.
What they ask for
- Bachelor’s degree in business, life sciences, or healthcare.
- 10 or more years of cross-enterprise experience in pharmaceuticals or healthcare, including strategy, transformation, organizational effectiveness, or capability leadership in a complex matrix environment.
- Demonstrated advanced AI fluency through recognized certification, applied experience, or a portfolio of AI-enabled solutions with improved decisions, workflows, capabilities, or measurable outcomes.
- Proven ability to lead complex cross-functional transformation through design, build, adoption, and measurable value realization.
Nice to have
- Advanced degree in organizational leadership, data and analytics, or a related discipline.
- Prior agency consultancy and direct Medical Affairs experience.
Pay
$185,500.00 - $344,500.00 per year (base salary)
AI focus
Identify and prioritize AI use cases; design and prototype AI-enabled workflows and decision-support tools; build organizational AI fluency; apply AI capabilities to improve decisions, workflows, capabilities, and measurable outcomes.
Model-written summary · the original posting is authoritative