Partner – Data Strategy – Analytics & AI Practice
| Company | Putnam Associates |
|---|---|
| Location | Boston, MA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- 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