beghouconsulting - Partner - AI & Analytics

• Applied AI fluency. You can hold a substantive conversation about model choices, methodology tradeoffs, and risk without a technical translator in the room. You can engage directly with AI experts, ask the right questions, and evaluate outputs for business applicability and relevance. You do not need to build models or agent systems, but you need to know when a result is wrong for the problem. • Deep pharma commercial instincts. The ability to assess an AI output -- a patient segmentation, an SFE model, an omnichannel recommendation -- and determine whether it reflects how the market actually works. • Organizational leadership. Proven ability to lead across functions, with and without direct authority. You know how to set direction, build trust, and keep teams aligned when priorities are competing. • Business orientation. You think in terms of return, prioritization, and tradeoffs. You are as comfortable in a conversation about investment decisions and build costs as you are in a conversation about solution design. • Communication. You translate complex ideas without losing the complexity that matters -- in client conversations, internal team settings, and executive discussions. • Continuous learning and market awareness. The AI landscape is moving fast and this role requires someone who is genuinely invested in keeping pace with it. That means actively monitoring new capabilities, testing and evaluating emerging tools and models, and integrating what you learn into how we make decisions and how we show up with clients. Credibility at the client interface depends on being current, not just experienced. • 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)