Senior Manager, Commercial​/Payer Analytics

Inviting applications for the role of Senior Manager, Commercial/ Payer Analytics.

We are seeking seasoned Senior Manager Experience in pharmaceutical and life sciences analytics, with proven expertise in Anonymous Patient-Level Data (APLD), Xponent, Plantrak & 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.

• 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, 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 VCOs/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.

• Bachelors in Pharma/Technology/BE.
• Experience in U.S. healthcare analytics, including pharmaceuticals, biotech, or payer/provider systems.
• Machine learning and statistical modeling knowledge (e.g., XGBoost, Random Forest, NLP, deep learning).
• Knowledge on GenAI.
• Proficient in Python, SQL.
• Strong knowledge of U.S. healthcare datasets:
  Medicare/Medicaid, commercial claims, EMR systems, Sales & Commercial data sets in healthcare etc.
• Solid grasp of healthcare economics, policy frameworks, and regulatory constraints.

• Knowledge of Spark, and data visualization tools (Power BI, Tableau) and R is preferred.
• M.Sc./M.Tech./M.Pharm
• Strong analytical, problem‑solving skills, and technical aptitude.
• Expert verbal and written communication skills.
• High degree of energy & execution and client connect experience is a "Must".
• Ability to work in a global environment.
• Proven work experience as a team leader or supervisor.
• Good analytical and problem-solving skills.
• Good accounting concepts.
• Good interpersonal skills.
• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation.
• Make an impact – Drive change for global enterprises and solve business challenges that matter.
• Accelerate your career – Get hands‑on experience, mentorship, and continuous learning opportunities.
• Work with the best – Join 140,000+ bold thinkers and problem‑solvers who push boundaries every day.
• Thrive in a values‑driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress.

The approximate annual base compensation range for this position is $150,000 to $160,000. 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.

Danbury, CT area candidates are eligible for this role only.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.