Life Sciences Supply Chain Executive Partner
Gartner
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Benefits offered by this job
Job summary
Gartner, Inc. in the United States is seeking an Executive Partner, Supply Chain (Life Sciences) to advise life sciences clients on strategy, transformation and resilience. You will lead 25–30 executive relationships and shape strategic directions with senior leaders, delivering measurable business impact.
You will leverage Gartner research and a broad peer network to drive digital innovation, operating model design, planning and performance improvements across top life sciences organizations.
Qualifications
- 20+ years of progressive supply chain leadership experience within life sciences and/or consulting.
- End-to-end supply chain operations, transformation and operational excellence knowledge.
- Experience advising and influencing senior executives ( Directors, VPs, SVPs ).
- Bachelor's degree required; Master's preferred.
Responsibilities
- Manage a portfolio of 25–30 executive member relationships across life sciences clients.
- Act as trusted advisor through regular consultations, coaching, and guidance.
- Advise on supply chain strategy, operating model design, transformation and resilience.
- Provide objective recommendations and actionable insights for strategic decisions.
- Connect clients with Gartner research, analyst expertise and peer insights.
- Lead executive workshops, strategy sessions and annual planning discussions.
- Support client retention, growth, and value realization across lifecycle stages.
- Collaborate with Gartner sales and client success teams to drive outcomes.
Skills
Education
Job description
Gartner, Inc. in the United States is seeking an Executive Partner, Supply Chain (Life Sciences) to advise life sciences clients on strategy, transformation and resilience. You will lead 25–30 executive relationships and shape strategic directions with senior leaders, delivering measurable business impact.
You will leverage Gartner research and a broad peer network to drive digital innovation, operating model design, planning and performance improvements across top life sciences organizations.
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