Putnam
Principal, Data Strategy, Analytics & AI Practice
New York, New York Position Summary Partners and Principals are responsible for independently driving Client and business development at the company. 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 developing and enhancing practice areas within the firm. The Principal role within the Data Strategy, Analytics and AI team will be responsible for
advising clients on business strategy through data-driven decision-making, leading project teams, and developing innovative solutions to complex business challenges through data and AI . The ideal candidate should have a deep understanding of Pharmaceutical commercial business strategies, project management, and a proven problem-solving capability through data strategies, technology, and emerging AI/GenAI solutions. They are also responsible for building and enhancing existing Pharma client relationships and for overseeing the delivery of DnA /AI projects, managing a global team of data scientists and business analysts to support client projects. Holistic view of responsibilities and measurements of success: Extensive project work planning and client interaction and management. Leadership effectiveness through team management effectiveness, coaching and mentoring, participation in positive firm culture building, practice area development contributions, and general firm development contributions. Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation. Proposal development and revenue generation. Participation in industry thought leadership. Establish clearer resourcing method and process for the team for scale. Support the evolution of our hiring strategy for team based on expected future client work (e.g., growth of claims analytics offerings, commercial analytics, AI/GenAI solutions, and other growth areas accordingly. At Putnam, we pride ourselves on a team-based approach that is client-focused and impact-oriented. We serve many of the industry leaders, including all of the top 10 global biopharmaceutical companies. Almost all of our studies combine sophisticated quantitative analytics with significant qualitative fact-finding and synthesis to inform strategic decision-making. Pferred home office in New York City or Boston. Our offices are located in the vibrant cities of Boston’s Back Bay (HQ), San Francisco’s Union Square, New York City, and globally in London. Desired Skills & Experience Experience in Life Sciences data analytics (minimum of 10 years) and consulting. Working knowledge of Pharmaceutical data sets such as: claims data, prescription data, lab data, change/content data, engagement and experience data. Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense). Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data). 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. Participation in industry thought leadership. This is an Equal Employment Opportunity.
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New York, New York Position Summary Partners and Principals are responsible for independently driving Client and business development at the company. 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 developing and enhancing practice areas within the firm. The Principal role within the Data Strategy, Analytics and AI team will be responsible for
advising clients on business strategy through data-driven decision-making, leading project teams, and developing innovative solutions to complex business challenges through data and AI . The ideal candidate should have a deep understanding of Pharmaceutical commercial business strategies, project management, and a proven problem-solving capability through data strategies, technology, and emerging AI/GenAI solutions. They are also responsible for building and enhancing existing Pharma client relationships and for overseeing the delivery of DnA /AI projects, managing a global team of data scientists and business analysts to support client projects. Holistic view of responsibilities and measurements of success: Extensive project work planning and client interaction and management. Leadership effectiveness through team management effectiveness, coaching and mentoring, participation in positive firm culture building, practice area development contributions, and general firm development contributions. Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation. Proposal development and revenue generation. Participation in industry thought leadership. Establish clearer resourcing method and process for the team for scale. Support the evolution of our hiring strategy for team based on expected future client work (e.g., growth of claims analytics offerings, commercial analytics, AI/GenAI solutions, and other growth areas accordingly. At Putnam, we pride ourselves on a team-based approach that is client-focused and impact-oriented. We serve many of the industry leaders, including all of the top 10 global biopharmaceutical companies. Almost all of our studies combine sophisticated quantitative analytics with significant qualitative fact-finding and synthesis to inform strategic decision-making. Pferred home office in New York City or Boston. Our offices are located in the vibrant cities of Boston’s Back Bay (HQ), San Francisco’s Union Square, New York City, and globally in London. Desired Skills & Experience Experience in Life Sciences data analytics (minimum of 10 years) and consulting. Working knowledge of Pharmaceutical data sets such as: claims data, prescription data, lab data, change/content data, engagement and experience data. Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense). Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data). 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. Participation in industry thought leadership. This is an Equal Employment Opportunity.
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