Partner - AI & Analytics

Beghou Consulting•Boston, MA

About The Position

This is a leadership role for someone who thrives at the intersection of business strategy, AI, and life sciences commercialization. You will be setting the agenda for how we apply AI across our consulting practice, our internal operations, and our product development -- and making sure all three are moving in the same direction. We are looking for someone with the business judgment to prioritize clearly, the technical fluency to engage credibly with clients and internal experts, and the organizational instincts to bring cross-functional teams into alignment. This role requires someone who can lead with and without direct authority, depending on the context.

Requirements

  • Applied AI fluency: Ability to hold a substantive conversation about model choices, methodology tradeoffs, and risk without a technical translator. Ability to engage directly with AI experts, ask the right questions, and evaluate outputs for business applicability and relevance.
  • Deep pharma commercial instincts: Ability to assess an AI output and determine whether it reflects how the market actually works.
  • Organizational leadership: Proven ability to lead across functions, with and without direct authority. Ability to set direction, build trust, and keep teams aligned when priorities are competing.
  • Business orientation: Think in terms of return, prioritization, and tradeoffs. Comfortable in conversations about investment decisions and build costs, as well as solution design.
  • Communication: Translate complex ideas without losing the complexity that matters -- in client conversations, internal team settings, and executive discussions.
  • Continuous learning and market awareness: Actively monitor new capabilities, test and evaluate emerging tools and models, and integrate learnings into decision-making and client interactions.
  • 12+ years of experience spanning life sciences and AI or advanced analytics, with meaningful time in a consulting or advisory context.
  • Demonstrated experience leading or overseeing AI-driven projects in pharma commercial settings, with the ability to speak to what worked, what didn't, and why.
  • Familiarity with modern AI/ML approaches (LLMs, generative AI, machine learning, agentic systems) at the level of an informed strategic decision-maker.
  • Practical understanding of commercial AI systems in life sciences -- not just familiarity with tools, but experience with how these systems are designed, deployed, and evaluated in real commercial contexts.
  • Track record of cross-functional leadership and organizational alignment in complex, fast-moving environments.
  • Experience owning or contributing to business development in a professional services or consulting context.
  • Demonstrated habit of staying current -- actively testing new tools, following capability developments, and translating what's new into what's relevant for the business and for clients.
  • Advanced degree in a relevant field (Data Science, Engineering, Life Sciences, Business, or equivalent experience).

Nice To Haves

  • Independent pipeline ownership is not the primary expectation of this role.
  • Overall product roadmap ownership sits elsewhere; this role is responsible for ensuring AI priorities are well-represented, coordinated, and sequenced within that broader roadmap process.

Responsibilities

  • Define and maintain a unified AI strategy across three lanes: internal workflow and operations, consulting engagements, and product development. Set clear priorities and decision-making frameworks, and create the boundaries that give individual teams room to build while keeping the broader organization pointed in the same direction.
  • Drive alignment on goals, sequencing investments, and resolving the tensions that come with fast-moving capability building across multiple teams. Ensure AI priorities are well-represented, coordinated, and sequenced within the broader product roadmap process.
  • Serve as a deep resource to account leaders in client conversations, taking conversations 2 to 3 engagements deep on method choices, tradeoffs, and risk. Be as comfortable telling a client where AI is not the right answer as where it is.
  • Own the business case for AI investments, including build cost assumptions, ROI frameworks, and tracking time and revenue return against projections. Bring rigor to AI investment decisions.
  • Set the AI communication narrative and go-to-market positioning, aligned to Beghou's overall GTM strategy. Define the thought leadership agenda in service of business priorities.
  • Define how we staff and deliver against custom AI and analytics projects, including the right balance of domain and commercialization expertise versus AI technical depth. Work with and develop existing teams, assessing, shaping, and redeploying talent.
  • Own a centralized point of view on what our people need to work effectively in an AI-enabled environment -- across consulting, product, and internal teams. Assess current capability gaps, define what good looks like at different levels of the organization, and ensure this agenda is pulled through in partnership with people operations and training.

Benefits

  • A firm in active growth mode with a clear and funded commitment to AI
  • Long-standing client relationships in life sciences with real depth and loyalty
  • A culture that blends analytics, strategy, and technology
  • The opportunity to set the agenda, not inherit one
  • You will join a collaborative leadership team committed to disciplined growth, market relevance, and measurable client impact.
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