Manager, Payor, Access & Reimbursement I&A

Key Responsibilities:

• • Explore, develop, implement, and scale up solutions that address customer needs. Co-create with key stakeholders to build partnerships & collaborations.
  • Collaborate with Hyderabad and EH leads to ensure comprehensive market, segmentation, and behavioral analyses are incorporated.
  • Work independently, support Lead, build, and cultivate relationships with stakeholders as part of key account strategic management.
  • Experience in analyzing payer data, formulary coverage, and market share to assess and optimize product access across commercial and government payers.
  • Experience in Segment payers based on their policies, formulary positions, and prescription trends, identifying high-potential accounts and key influencers.
  • Knowledge of predictive analytics and machine learning models to forecast payer behaviour, such as formulary changes, policy shifts, or reimbursement trends.
  • Experience in analyzing patient claims data, physician prescribing behaviour, and treatment utilization patterns in response to payer policies and formulary changes
  • Monitor competitor activities, including pricing, formulary status, and payer contracts, to assess their impact on market share and market access strategies.
  • Develop scenario-based models to simulate different deals/ contracts and study the impact of different payer policies on product uptake.
  • Provide analytics support to Novartis internal customers on various high complexity analytical reports.
  • Working knowledge of multiple datasets e.g. LAAD, Xponent, Plantrak, SMART etc. and formulary datasets (MMIT, DRG - Fingertip, etc.), managing and organizing data sets from databases to find patterns and trends in data.
  • Transforming these complex and granular data into actionable insights.
  • Should be able to lead small projects with help of leads and support team member, mentor new member/Intern and develop them to address complex business analytics challenges.
  • Require experience in quantitative analysis with a demonstrated focus in analytics and experience with coding languages (SQL OR Python) to query and extract data. Also, experience with BI tools (PowerBI), working with very large data sets is a plus.
  • Takes initiative to drive standardization of reports across brands.

 Essential Requirements:

• • Sciences, or a related field.
  • 5+ years of experience in analytics, advance analytics, market access, or decision science, preferably in the pharmaceutical or healthcare sector.
  • Strong experience in data analysis, insight generation, and project management.
  • Demonstrated ability to collaborate across global teams and manage multiple priorities.
  • Excellent communication, presentation, and stakeholder management skills.
  • Experience preparing reports, workshop materials, and executive presentations.

 Desired Requirements:

• • Passion and commitment to drive results through unbossed wow and growth mindset 
  • Strong communication skills with flexibility to adapt wow for different cultures 
  • Strong analytical thinking with problem solving approach 
  • Should have exposure to cross-functional/ cultural work environment