Partner - Data Strategy, Analytics & AI Practice

Position Summary

Putnam over the years has provided significant support to Pharma Data, Analytics and Insights Teams and is looking to grow our Data Strategy, Analytics and AI Practice. A Partner at Putnam is responsible for team management and client business development within their practice area. They must effectively identify potential client engagements, qualify leads, and drive the business development process. They will write and submit project proposals, develop and deliver capability presentations, and respond to prospective client needs.

They are responsible for developing intellectual thought leadership for the company and for enhancing their practice area within the firm. They are also responsible for building and enhancing existing client relationships and for overseeing client project teams as well as collaborating with other practice areas (commercial, medical affairs, pricing and access, Portfolio/BD&L). This Partner role will lead a growing and innovative Data Science Team and support client initiatives to transform fragmented data silos into actionable insights that drive measurable impact across the product lifecycle, from clinical to commercial.

Our practice builds trusted data foundations to apply machine learning for product forecasting, provider segmentation, patient identification, and customer engagement. With data strategies grounded in Putnam’s scientific rigor and therapeutic expertise, we bring clarity to complex data (e.g. claims, Rx, genomic, lab, customer engagement) leveraging AI proprietary tools and analytics platforms that empower faster decisions and long-term brand growth.

Responsibilities and measurements of success include but are not limited to:

• Leadership & Team Development
  :
  Strengthen team management, coaching, and mentoring while fostering a positive firm culture and contributing to practice area growth.
• Project & Client Management
  :
  Lead strategic project planning and maintain strong client relationships to ensure successful delivery.
• Business Growth & Sales
  :
  Drive revenue and sales targets by identifying and pursuing new opportunities, leveraging industry expertise and existing networks.
• Business Development Execution
  :
  Develop impactful capability presentations, proposals, and client negotiations to expand market presence.
• Insight Development & Strategic Impact
  :
  Translate key insights from work streams into compelling narratives that drive client decision-making.
• Thought Leadership & Industry Influence
  :
  Contribute to industry discussions and thought leadership initiatives.
• Talent Strategy & Future Planning
  :
  Evolve hiring strategies to align with emerging client needs, such as claims analytics, commercial analytics, and AI/GenAI solutions.

This leadership role will support clients in the following Data Strategy, Analytics and AI project areas:

• Data Strategy
  :
  Collaborate with TA strategy consultants to define and implement short- and long-term data strategies that address key business challenges, including identifying new datasets.
• Advanced Analytics
  :
  Analyze patient journeys and rare populations using claims data, optimizing HCP targeting and engagement strategies. Implement patient tokenization across complex datasets (claims, genomic, lab) for structured insights and strategic decision-making.
• AI & GenAI Solutions
  :
  Develop machine learning and AI-driven strategies for Commercial, VPA, Medical, and Evidence applications, enhancing client insights and decision-making. Leverage the Inizio Navigator.ai suite for rapid analysis of large-scale customer data

Desired Skills & Experience

• Extensive experience in Life Sciences data analytics consulting (min of 10 years)
• Deep experience in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data) and other Pharma internal datasets such as customer relationship management (e.g. Veeva CRM).
• Experience in data visualization tools (e.g., Tableau, Power
  
  BI, Qlik Sense)
• Practical application of AI/ML/NLP use cases in the Life Sciences business (e.g, NBE, patient-finding, content generation, or other relevant cases)
• A GenAI pioneer, with experience of LLMs in Pharma…