Job Title: AI Project Lead
Location: Remote
Duration: / Term: Fulltime
Experience Desired: 10+ Years
Job Description:
This role is the single point of contact in the US for the Market Access Analytics team's AI initiatives. You own the CASA side of the AI project lifecycle, from the first intake of a key business question through to continuous evaluation of the finished capability. You bridge the market access business teams, the analytics team, CBIT and vendors, and you make sure the AI answers reflect how market access really works. The team's priority is market access depth, paired with enough AI and architecture knowledge to work well with IT.
Responsibilities
Stakeholders and requirements
- Act as the single US point of contact across the AI initiatives, aligning timelines and data products.
- Engage Max (Market Access) business stakeholders to capture key business questions (KBQs) and agree metric definitions with them.
- Work with the brand-focused members of the team, who know the metrics and rules for each brand, to collect their input and refine it into clear requirements.
- Bridge Market Access Analytics, Max (Market Access) stakeholders, CBIT, Data Strategy and vendors.
Design, release and adoption
- Bring market access context to the semantic and context layer, so the AI knows what the data means and what a correct answer looks like.
- Make sure users have the right access to the right datasets, and shape the user experience, including default dashboards and conversational use.
- Run business user acceptance testing (UAT) and the go / no-go decision for each release.
- Check outputs against market access knowledge before they reach users.
Measurement and improvement
- Define and track performance and success measures for each AI capability.
- Run the user feedback loop and evaluate continuously across platform, functionality and data.
- Onboard new personas and brands as scope grows.
- Connect and align across AI initiatives, including Payer 360, AOI, Field AOI, Deal Architect and Revenue Defense.
Requirements
- Market access SME: strong payer, access and coverage knowledge to frame KBQs and validate outputs. This is the most important requirement. [Years of experience to be confirmed]
- AI and agentic architecture: working knowledge of agent frameworks, semantic layers, guardrails and evaluation, enough to translate business needs for IT and judge results.
- Pharma data sets: understanding of pharmacy and medical benefits data and their limits.
- Product development: experience taking data products from concept through release and scale.
- Project management: coordinating timelines and dependencies across teams and vendors.
- Communication: comfortable as the face of the team with business leaders, IT and vendors.
Preferred
- Experience with syndicated and gross-to-net data.
- Exposure to contracting and 340B analytics, which are expected to become workstreams next year.
- Familiarity with enterprise AI assistants such as Claude, and with Databricks.
- Experience working in a business, analytics and IT delivery model.
Key Skills:
Project management, Market Access Analytics, AI initiatives, agentic architecture, Pharma data sets
