Principal Advanced Analytics - Life Sciences (1273)

Axtria, Inc.Berkeley Heights, NJ
$204,250 - $312,000Hybrid

About The Position

The Decision Intelligence (DI) Principal is the senior-most client leadership role within Axtria's Decision Intelligence practice. Principals are accountable for the full client relationship — from delivery excellence on current analytics engagements to the long-term transformation of those relationships from analytics services to AI-powered decision support. This is a dual-mandate role: run the business today while building the business of tomorrow. In the near term, Principals will own and grow a portfolio of pharma commercial analytics accounts — ensuring delivery quality, deepening executive relationships, and expanding scope. Over time, Principals will lead the evolution of those accounts toward Decision Transformation Programs, shifting commercial models from T&M toward fixed-fee, outcome-linked, and managed services structures. The right candidate is both a credible delivery leader and a strategic client executive — someone who can hold a conversation about an analyst's output in the morning and sit with a VP Commercial in the afternoon to discuss how their organization makes brand investment decisions.

Requirements

  • 15+ years in pharma commercial analytics, management consulting, or a combination, with significant time in client-facing delivery leadership.
  • Experience managing large, complex analytics relationships — not just project delivery.
  • Demonstrated track record of growing accounts and elevating relationships over time.
  • Prior accountability for revenue targets.
  • Deep fluency in at least two of: brand commercial strategy, marketing mix and promotional effectiveness, HCP targeting and sales force deployment, patient journey analytics, forecasting and launch analytics, or payer/market access analysis.
  • Ability to connect analytical work to the business decisions it should inform — and to make that connection visible to clients.
  • Comfortable owning delivery accountability across distributed onshore/offshore teams.
  • Able to diagnose quality issues, hold delivery directors accountable, and intervene directly when needed.
  • High standards for output — understands the difference between analysis that is technically correct and analysis that is decision-ready.
  • Demonstrated ability to move relationships up the org chart.
  • Not just managing the analytics buyer, but building credibility with commercial leadership.
  • Knows how to shift a conversation from "here are the results" to "here is what you should do and why."
  • Practical understanding of AI-augmented analytics, agentic workflows, and what separates a decision system from a dashboard or a model.
  • Must be able to credibly lead client conversations about AI's role in their decision-making — without overpromising.
  • Commitment to maintaining L3 AI Decision Architect certification within Axtria's framework.
  • Understanding of T&M and alternative commercial structures.
  • Ability to identify opportunities to pilot non-FTE pricing within existing accounts and to build the internal and client case for doing so.

Responsibilities

  • Own delivery accountability across a portfolio of analytics COE and project-based engagements.
  • Ensure quality of output — from ad hoc analyses and patient journey work to marketing mix and payer access engagements.
  • Serve as the escalation point for delivery issues and the primary driver of account health.
  • Grow revenue within existing accounts through scope expansion, new workstreams, and deepening of the analytics mandate.
  • Systematically build relationships with Executives Directors, VPs and ultimately C-Suite commercial leaders.
  • Position Axtria as a consultative decision partner.
  • Cement Axtria’s position as the firm clients call when they face a consequential commercial question, not just when they need analytical capacity.
  • Lead the deliberate evolution of assigned accounts from T&M analytics delivery toward decision-centric engagement models.
  • Introduce decision-first framing into existing COE work.
  • Identify high-value decision problems that warrant structured Decision Transformation Programs.
  • Pilot alternative commercial structures (fixed-fee workstreams, deliverable-based pricing, outcome-linked components) where client receptivity exists.
  • Shape how Axtria's Decision Intelligence capabilities are positioned and sold within assigned accounts.
  • Design proposals that lead with decisions and business outcomes rather than FTE configurations.
  • Work with the AI & Data and Product groups at Axtria to bring full Axtria platform capabilities into client conversations where appropriate.
  • Contribute to the development of the DI practice — refining playbooks based on account experience, mentoring AD and Director-level talent, supporting AI certification (L3 AI Decision Architect standard), and building reusable assets from engagement IP.

Benefits

  • health insurance
  • flexible spending accounts
  • 401k with company match
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