Putnam -posted 9 months ago
Full-time • Senior
Boston, MA

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.

  • 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.
  • Experience in Life Sciences data analytics 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.
  • A GenAI pioneer, with experience of LLMs in Pharma.
  • 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 total rewards programs [salary and bonus packages].
  • Exceptional senior partner mentorship, leadership training and career development support.
  • Industry competitive benefits [paid time off, 401k, health insurance].
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