Demo

Principal, Data Strategy, Analytics & AI Practice

Inizio Advisory
York, NY Full Time
POSTED ON 11/11/2025
AVAILABLE BEFORE 12/10/2025
Principal - Data Strategy, Analytics & AI Practice

About Inizio

Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey.

About Advisory

Inizio Advisory is a trusted advisor for health and life science companies that turns science into strategy, supporting execution at every stage of the product and patient journey from early commercialization to launch and beyond.

Role Overview

We are building a high-impact Analytics team capability at the heart of Inizio Advisory and hiring a Principal to join the Data Strategy & Analytics group. This team shapes smarter strategies while driving measurable outcomes for global life sciences clients. This is a unique opportunity to lead a team that transforms data into strategic advantage—helping clients navigate complexity, innovate faster, and achieve outcomes that truly matter.

Here’s what you’ll be doing:

  • Building and enhancing existing Pharma client relationships and for overseeing the delivery of DnA/AI projects.
  • Development of key insights and translation into compelling storylines and presentations.
  • Extensive project work planning and client interaction and management.
  • Leadership effectiveness through team management, coaching, mentoring, and culture building
  • Participation in industry thought leadership
  • Establish clearer resourcing methods and processes for team scalability
  • Support hiring strategy evolution based on future client work (e.g., claims analytics, commercial analytics, AI/GenAI solutions)

Here’s what you’ll need:

  • Extensive experience in Life Sciences data analytics and consulting.
  • A proven problem-solving capability through data strategies, technology, and emerging AI/GenAI solutions.
  • Working knowledge of Pharmaceutical data sets (claims, prescription, lab, engagement, experience data)
  • Experience with data visualization tools (e.g., Tableau, PowerBI, Qlik Sense)
  • Experience with 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 Life Sciences
  • GenAI pioneer with experience applying LLMs in Pharma
  • Extensive experience in project work planning and client management
  • Successful history of people and team management
  • Ability to develop key insights and translation into compelling presentations
  • Experience in Proposal development
  • Participation in industry thought leadership

Compensation & Benefits

  • Industry competitive total rewards programs (salary and bonus packages)
  • Industry competitive benefits (paid time off, 401k, health insurance)
  • Hybrid working model - based out of NYC or Boston office

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.

Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

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