Senior Manager, Value & Access Trade Analytics (R Python and SQL)
About The Position
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 anâ¯advanced technology services and solutions company that deliversâ¯lastingâ¯value for leading enterprisesâ¯globally.â¯Through ourâ¯deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead.â¯Powered by curiosity, courage, and innovation,â¯our teamsâ¯implementâ¯data, technology, and AIâ¯toâ¯create tomorrow, today.â¯Get to know us atâ¯genpact.comâ¯and onâ¯LinkedIn,â¯X,â¯YouTube, andâ¯Facebook. Inviting applications for the role of Senior Manager, Value & Access Trade Analytics (R Python and SQL) We are seeking a seasoned Senior Manager Experience in pharmaceutical and life sciences analytics, with proven expertise in Market Access, Pharma contracting, Rebate, Trade, Channel distribution modelling, Sales data, Inventory/ordering data, Chargebacks, Payor accounting etc. 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.
Requirements
- Bachelors in Pharma/Technology/BE
- Experience in U.S. healthcare analytics, including pharmaceuticals, biotech, or payer/provider systems.
- Good knowledge on 867 data (sales), 852 data (inventory/ordering), chargebacks, specialty pharmacy reports, IQVIA/SHS distribution feeds, Payor accounting
- Experience in Market Access, Pharma contracting, rebate, trade, channel distribution modeling.
- Knowledge on contract compliance analysis (rebates, chargebacks, distribution service agreements)
- GTN (Gross to Net) analysis, Channel dynamics, 340B utilization, etc,.
- 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.
- 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
Nice To Haves
- Knowledge of Spark, and data visualization tools (Power BI, Tableau) and R is preferred.
- M.Sc./M.Tech./M.Pharm
- Excellent MS Office Skills.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Administrative and Support Services
Number of Employees
5,001-10,000 employees
