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 Pharma & Life Sciences 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 est