About Us At BGBx , we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges. Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle.

The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day. If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx. AI Product Manager Position Overview The AI Product Manager leads the strategy, prioritization, delivery, adoption, and measurement of internal AI initiatives that advance BGB’s AI operating model.

This role turns the agency’s AI vision into a practical roadmap across GPT/LLM enablement, agentic workflows, Claims Library, Orchestration Engine, Cortex/memory, 3D Science tools, production standardization, and workflow automation. The role is accountable for ensuring AI investments are prioritized against business value, built with the right governance, adopted by teams, and measured for operational and commercial impact. The AI Product Manager defines the AI product roadmap, prioritizes use cases, drives adoption, and ensures every AI initiative delivers measurable value.

Requirements

, adoption plans, governance, and impact measures. Key Partners COE Lead, business leads, Medical, Strategy, Creative, Editorial, Production, Analytics, IT/Security, Finance, Slalom, Fourier, AI champions. Success Measures Prioritized roadmap, clear PRDs, adoption, measurable efficiency/revenue impact, governance readiness, user satisfaction, and successful rollout.

from cross-functional stakeholders and translate business needs into clear product briefs, PRDs, user stories, acceptance criteria, rollout plans, and measurement plans. Partner with engineering, platform, UX, SMEs, and external partners to move solutions from concept to pilot, from pilot to production, and from production to scaled adoption. Define what belongs in an MVP versus future releases, ensuring early efforts prove adoption, business value, quality, and scalability before scope expands.

Coordinate pilots, user testing, workflow mapping, training needs, change management, communications, feedback loops, and release readiness. Establish product-level governance standards with IT, Security, Medical, Editorial, Legal/Compliance, and agency leadership, including data use, content review, source traceability, and human oversight. Define KPIs and OKRs for each AI initiative, including usage, adoption, cycle-time savings, quality improvements, cost avoidance, revenue opportunity, margin protection, and user satisfaction.

Monitor adoption metrics, operational impact, user feedback, risks, blockers, and enhancement opportunities after launch. Create executive-ready updates that clearly communicate progress, value, risks, dependencies, decisions needed, and next steps.

Responsibilities

Own and maintain the AI product portfolio and roadmap across GPT enablement, agentic workflows, orchestration, knowledge reuse, Claims Library, Cortex/memory, production standardization, and strategic AI tools. Identify, evaluate, and prioritize business opportunities suitable for AI enablement or automation based on value, feasibility, risk, reuse potential, adoption readiness, and alignment to the AI operating vision.

Qualifications

5+ years of product management, technology delivery, digital transformation, innovation, oper