Senior Manager, Payer Analytics

Genpact; Danbury (CT); On-site; USD 150,000 - 160,000; Full time

Job summary

Genpact in Danbury, CT is seeking a Senior Manager for Pharma & Lifesciences Analytics – Payer Analytics. The role leads strategic analytics across pharmaceutical, Value & Access, and payer domains, applying ML and advanced statistics to improve marketing effectiveness and health outcomes.

You will manage global delivery teams, partner with data engineering, and translate business needs into actionable insights, guiding market access strategies, formulary positioning, and ROI measurements.

Qualifications

• Experience in U.S. healthcare analytics including pharma, biotech, or payer/provider systems.
• Machine learning and statistical modeling knowledge (e.g., XGBoost, Random Forest, NLP, deep learning).
• Proficient in Python and SQL; strong communication skills.

Responsibilities

• Lead strategic analytics initiatives across pharma, Value & Access, and healthcare payer domains.
• Apply machine learning techniques to structured and unstructured data to improve patient stratification and ROI.
• Develop analytical solutions and lead generative AI projects to enhance efficiency.

Skills

Machine learning

Statistical modeling

Python

SQL

Communication skills

Global delivery

Education

Bachelors in Pharma/Technology/BE

M.Sc./M.Tech./M.Pharm

Tools

Spark

Power BI

Tableau

R

Job description

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 – Payer Analytics.

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
• 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
• Lead AI-first transformation – Build and scale AI solutions that redefine industries
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
• 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

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

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

“Los Angeles, California based candidates are not eligible for this role. 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. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.