Senior Manager, Market Access Analytics Delivery
The O'Connor Group TOG Inc. Basking Ridge, New Jersey, United States
Hospitals and Health Care · 11-50 employees
About the role
The Senior Manager leads end-to-end execution of analytics solutions to support payer, pricing, and access decisions for life sciences clients. They coordinate cross-functional teams and serve as the primary client contact to translate complex business questions into actionable insights.
What they look for
Requirements
Candidates must have a Bachelor's or Master's degree in a quantitative or business field and significant experience in life sciences consulting or market access analytics. Proficiency in pharmaceutical data sources, project management, and data manipulation tools like SQL or Python is required.
Full description
Description
We are partnering with our client, CustomerInsights.AI, to hire a Senior Manager, Market Access Analytics Delivery!
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.
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.
- 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.
- 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.
- 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.
- 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.
- 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.