
Partner – AI & Analytics
Posted Jun 20

Posted Jun 20
This is a fully remote position, open to applicants in Massachusetts.
• Develop and uphold a cohesive AI strategy across three areas: internal operations and workflows, consulting projects, and product innovation.
• Foster alignment on objectives, prioritize investments, and address the challenges that arise from rapid capability expansion across various teams.
• Act as a vital resource for account leaders during client discussions, demonstrating comfort with methodological choices, trade-offs, and associated risks.
• Manage the business case for AI investments, encompassing build cost estimations, ROI frameworks, and monitoring time and revenue returns against expectations.
• Establish the AI communication narrative and market positioning, aligned with Beghou's overarching go-to-market strategy.
• Determine staffing needs and delivery methods for customized AI and analytics projects, including evaluating, shaping, and reallocating talent.
• Maintain a centralized perspective on the requirements for our personnel to operate effectively within an AI-enhanced environment.
• Over 12 years of experience in life sciences and AI or advanced analytics, with significant exposure in a consulting or advisory role.
• Proven experience in leading or supervising AI-driven initiatives in pharmaceutical commercial contexts, with the ability to articulate successes, failures, and underlying reasons.
• Knowledge of contemporary AI/ML methodologies (LLMs, generative AI, machine learning, agentic systems) at a level suitable for informed strategic decision-making.
• Practical insight into commercial AI systems in life sciences — not only familiarity with tools but also hands-on experience with the design, deployment, and evaluation of these systems in real-world commercial situations.
• A history of cross-functional leadership and organizational alignment in complex, dynamic environments.
• Experience in leading or contributing to business development within a professional services or consulting framework.
• A demonstrated commitment to staying updated — actively experimenting with new tools, tracking capability advancements, and translating innovations into relevant business applications for both the organization and clients.
• An advanced degree in a pertinent field (Data Science, Engineering, Life Sciences, Business, or equivalent experience).
• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options
FutureSight
Tribe AI
AAPC
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