Client Success Principal Consultant

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Fractal Analytics is a global, AI‑first company and strategic partner to Fortune 500 organizations. Unlike traditional consulting or services firms, AI is Fractal’s core business—not an add‑on. For over 25 years, Fractal has helped enterprises apply advanced analytics and AI to improve decision‑making at scale.

Fractal’s Healthcare & Life Sciences (Pharma) practice is purpose‑built to support global pharmaceutical organizations across commercial, R&D, supply chain, and enterprise functions. We work with many of the world’s largest pharma companies to design, build, and scale production‑grade AI and GenAI solutions that deliver measurable business and patient impact.

Join our team and shape the future of financial services and insurance through groundbreaking technology solutions! Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Locations: Multiple locations based on client demand, including New York City, New Jersey, Boston, and Maryland. This role requires onsite presence at Fractal offices and/or client sites, based on the engagement.

Note: This position is not eligible for Immigration Sponsorship at this time. 

Role Overview: 

As a Client Success Principal in the Healthcare & Life Sciences practice, you will lead AI‑driven enterprise transformations for senior life sciences clients, delivering against CEO‑level mandates. You will execute AI foundations and functional AI programs at scale, drive delivery quality and growth, and expand long‑term client partnerships. This role owns strategic Fortune 100 pharma accounts, growing multi‑million‑dollar relationships across major U.S. life sciences markets while ensuring Fractal consistently delivers at the highest standard.

Responsibilities

• Own delivery and growth for Fortune 50 pharma accounts, driving $20M+ in annual consulting and delivery revenue
• Lead large, multi‑program AI and GenAI initiatives, including field force transformation, omnichannel analytics, next best action, content tagging, patient services, and field force copilot solutions
• Partner closely with the Global Pharma Practice Head and India delivery teams across AI, MLOps, LLMOps, cloud engineering, and analytics
• Ensure strong client outcomes and satisfaction, with a target NPS of 70+
• Serve as the primary senior client contact, managing executive relationships, escalations, and complex stakeholder environments
• Develop and execute account plans aligned to client priorities, including QBRs, MBRs, and joint business plans
• Represent Fractal’s full portfolio across AI, engineering, design, behavioral science, and pharma analytics
• Manage account economics, including utilization, margins, and delivery health
• Drive proposals, client presentations, and commercial discussions in support of new and expanded work
• Lead and influence cross‑functional teams through indirect management, providing direction, coaching, and oversight
• Act as a long‑term strategic partner to clients and an active contributor to the growth of the HLS practice

Qualifications

• 20+ years of experience delivering and growing analytics and AI programs for Fortune 500 life sciences clients
• 10+ years of consulting experience in healthcare and life sciences
• 10+ years leading AI initiatives, including GenAI, for large enterprise clients
• Strong understanding of cloud platforms (AWS, Azure, or GCP) and enterprise AI delivery
• Proven commercial judgment with the ability to connect client challenges to business outcomes
• Experience engaging senior executives (CIO, SVP, VP) in strategic discussions
• Demonstrated ability to lead large, cross‑functional teams through influence
• Comfortable operating in ambiguous, fast‑moving environments
• Strong written and verbal communication skills
• Hands‑on experience with proposals and executive‑level client presentations
• Willingness to take ownership, learn from mistakes, and contribute beyond defined responsibilities

Pay: 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be fi