Partner -- Data Strategy, Analytics & AI Practice

Inizio Advisory • New York, NY

44d • Hybrid

About The Position

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 Partner to join our Data Strategy group. This team shapes smarter strategies while driving measurable outcomes for global life sciences clients. This is a unique opportunity lead a growing and innovative Data Science Team, supporting client initiatives to transform fragmented data silos into actionable insights that drive measurable impact across the product lifecycle—from clinical to commercial. This role builds trusted data foundations and applies machine learning for product forecasting, provider segmentation, patient identification, and customer engagement. What We Do: Strategic Influence: Provide shared analytics and data science expertise that powers client delivery and enterprise-level initiatives. Innovation at Scale: Develop reusable models, benchmarks, and tools that elevate performance across Advisory practices. Advanced Problem-Solving: Apply cutting-edge analytics, statistical modeling, and data storytelling to solve high-value use cases. Insight-Driven Impact: Enable delivery teams to unlock actionable insights that accelerate decisions, improve efficiency, and create tangible client value.

Requirements

• Extensive leadership experience in Life Sciences, data analytics and consulting.(min 10 years)
• A deep understanding of Pharmaceutical commercial business strategies, and project deliverables.
• Extensive experience in leadership, with a proven ability to guide high-performing teams, influence strategic decisions, and drive innovation across complex, data-driven environments.
• Deep experience in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data) and Pharma internal datasets (e.g., Veeva CRM)
• Practical application of AI/ML/NLP use cases in Life Sciences
• GenAI pioneer with experience applying LLMs in Pharma
• Ability to develop key insights and translate them into compelling presentations.
• Experience in 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.
• Drive revenue and sales targets by identifying and pursuing new opportunities in collaboration with the wider Inizio Advisory leadership team.
• Lead strategic project planning and maintain strong client relationships to ensure successful delivery.
• 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 (e.g., claims analytics, commercial analytics, AI/GenAI solutions).
• Collaborate with other practice areas (commercial, medical affairs, pricing and access, Portfolio/BD&L).

Benefits

• Industry competitive salary and bonus package tied to individual, group, and firm performance
• Exceptional senior partner mentorship, leadership training and career development support
• Comprehensive total rewards program including 401(k), health, dental & vision insurance, paid time off, cell phone benefits, and more
• Hybrid working model – based out of Boston or NYC with 1–2 days/week office presence

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed