Market Access Product AI Lead
Job in
Morris Plains, Morris County, New Jersey, 07950, USA
Listing for:
KMK Consulting, Inc.
Full Time
position
Listed on 2026-11-08
Job specializations:
-
IT/Tech
-
Business
Job Description & How to Apply Below
Market Access AI Product Lead
Location: United States (Hybrid)
Type: Full-Time / Consulting Engagement
We are seeking a Market Access AI Product Lead to serve as the primary business-facing lead for AI and analytics initiatives within a pharmaceutical Market Access organization. This role requires a unique blend of market access expertise, AI knowledge, analytics, and stakeholder management to drive AI-powered solutions from concept through adoption.
Key Responsibilities- Serve as the primary point of contact for Market Access AI initiatives.
- Partner with business stakeholders to define key business questions, metrics, and requirements.
- Translate payer, reimbursement, formulary, and access needs into AI-enabled analytics solutions.
- Collaborate with analytics, data, technology, and vendor teams to deliver AI products.
- Validate AI-generated insights and ensure outputs align with market access business objectives.
- Lead UAT, release readiness, stakeholder communications, and adoption activities.
- Define and monitor success metrics, user feedback, and continuous improvement plans.
- Strong pharmaceutical Market Access experience, including payer, coverage, reimbursement, and access analytics.
- Working knowledge of Generative AI, agentic AI frameworks, semantic layers, and AI governance.
- Experience with pharmaceutical data assets, including pharmacy and medical claims data.
- Proven ability to lead cross-functional initiatives involving business, analytics, and technology teams.
- Strong stakeholder management, communication, and project leadership skills.
- Experience with syndicated, gross-to-net, contracting, or 340B data.
- Familiarity with Databricks, Claude, Power BI, and enterprise AI solutions.
- Experience delivering AI or analytics products from ideation through deployment.
- Background working across business, analytics, and IT organizations.
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