Senior Manager, Pharma & Lifesciences Analytics – Value & Access Lead

Ready to build the future with AI?

At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Senior Manager, Pharma & Lifesciences Analytics – Value & Access Lead

We are seeking a 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, 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, 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.

Qualifications we seek in you!

Minimum Qualifications

· 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.

Preferred Qualifications/ Skills

· Knowledge of Spark, and data visualization tools (Power BI, Tableau) and R is preferred.

· M.Sc./M.Tech./M.Pharm

· Excellent MS Office Skills.