Senior Manager, Pharma & Lifesciences Analytics - Value & Access Lead
Listed on 2026-06-02
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IT/Tech
Data Analyst, Data Science Manager
Sr. Manager - Data and Analytics Advisory
Inviting applications for the role of Senior Manager Pharma & Lifesciences Analytics Value & Access lead. We are seeking a seasoned Senior Manager with experience in pharmaceutical and life sciences analytics and proven expertise in Anonymous Patient‑Level Data (APLD), Xponent Plantrak, and formulary access data. This leadership role demands a balance of strategic vision, deep technical acumen, and cross‑functional influence. The ideal candidate will drive advanced analytics initiatives that support marketing and commercial excellence strategies while leading global delivery teams and shaping stakeholder alignment across business units.
Responsibilities- Lead strategic analytics initiatives across pharmaceutical Value & Access and healthcare payer/provider domains.
- Apply machine learning techniques to structured and unstructured data to enhance patient stratification and drive sales and health outcomes.
- Develop analytical and statistical solutions to improve efficiency and drive innovations using Generative AI.
- Lead the development of U.S. market access strategies across therapeutic areas, including formulary positioning, pricing and reimbursement.
- Partner with global teams to align value messaging with regional payer and RAE/KAM expectations.
- Conduct and interpret advanced analytics to support decision‑making on promotional strategies and effectiveness (e.g., ROI A/B testing, campaign performance).
- Lead the Health System engagement by generating valuable insights for RAE/KAM teams.
- Able to handle complex statistical analysis to measure the effectiveness of certain campaigns and help in monitoring VC O/KAM/NAD/NAM performance.
- Data analysis:
Leverage data analytics tools to analyze market trends, track sales performance, and provide actionable insights to sales teams. - Design and execute test‑control methodologies and statistical procedures to evaluate marketing campaign success.
- Lead predictive analytics projects including segmentation, profiling and targeting strategies.
- Functionally and directionally lead an offshore analytics team while maintaining individual contributor responsibilities.
- Act as a strategic consultant to stakeholders, translating business needs into analytical solutions and actionable insights.
- Collaborate with data engineering and source data teams to address data quality and timing issues.
- Bachelor’s – Business Analytics
- Bachelor’s – Computer Science
- Bachelor’s – Statistics
- Master’s – Data Science
- Certified Data Management Professional – Riversand
- Certified Ethical Hacker (CEH) – Hacker School
- Certified Information Privacy Manager (CIPM) – International Association of Privacy Professionals (IAPP)
- Certified Information Privacy Professional, U.S. private‑sector (CIPP/US) – IAPP
- Certified Information Privacy Professional – International Association of Administrative Professionals (IAAP)
- IBM Certified Solution Developer – Web Sphere IIS Data Stage Enterprise Edition v7.5 – IBM
- Actuarial Services
- Agile Methodology
- AML Investigations
- Change Management
- Client Relations
- Collaboration Tools
- Customer Onboarding
- Data Analytics
- Data Architecture
- Data Consulting
- Data Governance
- Design Thinking
- Executive Presence
- Inclusion
- Know Your Customer (KYC)
- Modernizing Operations
- People Leadership
- Personal Effectiveness
- Risk Management
- Storytelling
English – Intermediate (B1)
Job TypeRegular
Master Skill ListData and Analytics Advisory
Remote TypeOffice
Work ShiftDay Job (United States of America)
CompensationThe approximate annual base compensation range for this position is: 80,000 to 100,000 USD.
Location RestrictionsLos Angeles, California based candidates are not eligible for this role. New York area candidates are eligible for this role only.
Benefits (Job Offer)The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.
Benefits- Lead AI‑powered transformation – Drive innovation and solve real‑world business challenges that matter.
- Make an impact – Help…
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