Manager - Market Access Analytics Delivery

Founded by Life Sciences & Technology leaders with 25 yrs. of experience, Customer Insights.

AI is an Artificial Intelligence company that builds innovative ML/AI solutions with strong emphasis on self-service, stateless execution through automation, speed to insight, and lower costs. We believe that true value of AI will be realized by Pharmaceutical & Biotechnology companies when AI becomes part of one’s everyday plumbing and not a one of event at the individual or project level.

The Senior Manager Market Access Analytics Delivery is responsible for leading end‑to‑end execution of analytics solutions that support payer, pricing, and access decisions for pharmaceutical and life sciences clients. This role combines hands‑on analytics leadership, project delivery ownership, and strategic client engagement to translate complex business questions into scalable solutions and clear, consumable insights. The ideal candidate will drive rigorous validation of all work products prior to client delivery and will ensure that complex analyses are consistently storyboarded and synthesized into concise, executive‑ready sound bites.

This role coordinates cross‑functional teams (data engineering, data science, BI, and QA), serves as a primary client contact for analytics delivery, and helps shape the evolution of standardized, repeatable service offerings.

The role will also help design and deliver agentic AI-enabled analytics solutions, applying appropriate human oversight, governance, and validation so that AI agents can reliably support research, data analysis, quality review, monitoring, and business‑user workflows.

• Partner with clients to develop analytics roadmaps aligned with commercial, market access, and business objectives.
• Lead the design of client‑ready storyboards that link analytics to clear business narratives, decision points, and recommended actions.
• Manage stakeholder expectations, project governance, risk mitigation, and delivery timelines.

• Own end‑to‑end execution for assigned projects and work streams, including scoping, detailed work planning, task assignment, and issue escalation.
• Convert high‑level solution designs into concrete delivery plans with clear milestones, sprint backlogs, and resource requirements.
• Monitor daily progress across analytics, data, and reporting tasks, proactively managing dependencies, risks, and scope changes.
• Maintain robust delivery documentation (project plans, RAID logs, status reports, SOPs) to support transparency and repeatability.
• Define delivery plans for agentic AI use cases, including workflow design, agent roles and orchestration, knowledge and data dependencies, guardrails, human‑in‑the‑loop review points, performance measures, and release readiness.
• Ensure effective coordination between onshore and offshore teams, with clear handoffs and accountability for each project phase.

• Oversee the preparation of analytics‑ready data layers in partnership with data engineering, ensuring standardized cleaning, enrichment, and mapping rules are applied.
• Lead or supervise the development of analytic methodologies, segmentations, dashboards, and models that address core market access and commercialization questions.
• Implement rigorous, multi‑step validation and QC processes across data ingestion, transformations, metric creation, analytics, and reporting, and review and sign off on key analytics outputs prior to client presentation to ensure accuracy, consistency, and alignment with business logic.
• Partner with data science and engineering teams to develop, test, and deploy AI agents that retrieve and synthesize…