Manager - Market Access Analytics Delivery

CustomerInsights.AI; Boston (MA); On-site; USD 170,000 - 230,000; Full time

Job summary

CustomerInsights.AI is seeking a Senior Manager Market Access Analytics Delivery to lead end-to-end analytics for payer, pricing, and access decisions in life sciences. You will drive solution storytelling, validate outputs, and coordinate cross-functional teams including data engineering and QA to deliver executive-ready insights.

The role emphasizes agentic AI-enabled analytics, governance, and scalable service offerings, with responsibility for strategic client engagement and program delivery

Qualifications

• Bachelor’s or Master’s degree in a quantitative, scientific, engineering, business, or related field.
• 8–12 years of experience in life sciences consulting, commercial or market access analytics, or related domains; consulting/vendor experience preferred.
• Demonstrated experience managing or leading analytics project delivery, including timelines and cross‑functional teams.
• Strong knowledge of pharmaceutical secondary data sources (IQVIA, MMIT, Symphony, claims, Rx, patient, provider, formulary data).
• Working understanding of U.S. payer and access landscape, including payers, PBMs, plans, formulary status, reimbursement and contracting dynamics.

Responsibilities

• Partner with clients to develop analytics roadmaps aligned with commercial, market access, and business objectives.
• Lead the design of client-ready storyboards linking analytics to business narratives and actions.
• Own end-to-end execution for projects, scoping, planning, tasks, and risk management.
• Define delivery plans for agentic AI use cases with guardrails and human-in-the-loop review points.
• Ensure coordination between onshore and offshore teams with clear handoffs.

Skills

Analytics leadership

Client engagement

Payer & access knowledge

Project delivery management

Data analytics

Education

Bachelor’s or Master’s degree in quantitative/scientific/engineering/business field

Tools

Excel

SQL

Python

BI dashboards

Job description

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

Position Overview

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.

Key Responsibilities

Strategic Client Engagement and Communication

• 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.

Project Delivery and Operations

• Own end‑to‑end execution for assigned projects and workstreams, 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.

Data, Analytics Execution, and Validation

• 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 evidence, execute defined analytic tasks, flag exceptions, generate first‑draft insights, and route work to human reviewers when confidence or business risk requires it.
• Establish evaluation and monitoring practices for agentic solutions, including accuracy, completeness, traceability, groundedness, safety, drift, exception handling, and adoption; translate findings into iterative improvements to prompts, tools, workflows, and controls.
• Drive a culture of continuous improvement, learning, and innovation in analytics methods, tools, and delivery practices.
• Manage resource planning, workload allocation, and utilization across multiple concurrent projects.

Business Development and Practice Building

• Identify and shape new consulting and analytics opportunities through ongoing client engagement.
• Support or lead proposal development, including problem framing, solution design, effort estimation, resourcing, and timelines.
• Contribute to account growth via delivery excellence, strong relationship management, and strategic advisory support.
• Partner with internal leadership to refine and scale standardized analytics offerings, playbooks, and reusable components.
• Help shape reusable agentic AI offerings for market access analytics, balancing practical client value with responsible AI design, security, data privacy, and model‑risk considerations.
• Foster a collaborative, high-performance culture focused on continuous learning and innovation.

Required Qualifications

• Bachelor’s or Master’s degree in a quantitative, scientific, engineering, business, or related field.
• 8–12 years of experience in life sciences consulting, commercial or market access analytics, or related domains; experience in a consulting/vendor environment strongly preferred.
• Demonstrated experience managing or leading analytics project delivery, including timelines, dependencies, and cross‑functional teams.
• Strong knowledge of pharmaceutical secondary data sources (e.g., IQVIA, MMIT, Symphony, claims, Rx, patient, provider, and formulary data).
• Working understanding of U.S. payer and access landscape, including payers, PBMs, plans, formulary status, reimbursement, and contracting dynamics.
• Proven ability to validate and reconcile large, complex datasets, and to implement structured QC and governance processes.
• Advanced proficiency in Excel and experience with at least one analytics / data manipulation environment (e.g., SQL, Python, or workflow tools) plus BI/dashboard tools.
• Demonstrated experience applying generative AI or agentic AI to analytics, operations, knowledge workflows, or decision support, with an understanding of prompt design, retrieval‑augmented generation, tool use, human review, and output evaluation.
• Strong project management skills, with a track record of successfully delivering multiple concurrent engagements.
• Excellent written and verbal communication skills, including demonstrated ability to storyboard and translate complex analytics into concise, business‑oriented messages and executive‑level presentations.

Preferred Qualifications

• Prior experience in a market access‑focused consulting, analytics, or data services organization supporting payer strategy, patient services, or commercial operations / brand teams.
• Experience managing large, multi‑million‑dollar client portfolios and strategic account growth initiatives.
• Familiarity with AI/ML applications in healthcare and interest in scaling standardized analytic components into repeatable offerings.
• Experience designing or managing multi‑agent workflows, LLM‑based applications, or agent evaluation and observability practices in a regulated or data‑sensitive environment.