Putnam -posted 5 months ago
Full-time • Senior
New York, NY
251-500 employees

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.

  • Strengthen team management, coaching, and mentoring while fostering a positive firm culture and contributing to practice area growth.
  • Lead strategic project planning and maintain strong client relationships to ensure successful delivery.
  • Drive revenue and sales targets by identifying and pursuing new opportunities, leveraging industry expertise and existing networks.
  • Develop impactful capability presentations, proposals, and client negotiations to expand market presence.
  • Translate key insights from workstreams into compelling narratives that drive client decision-making.
  • Contribute to industry discussions and thought leadership initiatives.
  • Evolve hiring strategies to align with emerging client needs, such as claims analytics, commercial analytics, and AI/GenAI solutions.
  • 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, PowerBI, 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 (e.g. generative writing, content, predictive models OR other) and ability to apply to daily work to promote adoption across Putnam.
  • Extensive experience in project work planning and client management.
  • A successful history of people and team management through mentorship, knowledge sharing, and leadership.
  • Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation.
  • Proposal development.
  • Participation in industry thought leadership.
  • Industry competitive salary and bonus package tied to individual, group, and firm performance.
  • Exceptional senior partner mentorship, leadership training and career development support.
  • Additional benefits create for a full total rewards program including 401(k), health, dental & vision insurance, paid time off, cell phone benefits, and more.
  • Hybrid working mode – this role can be based out of Boston or NYC. Looking for office presence 1-2 days a week.
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