The Global Commercial Strategy Transformation Lead is responsible for designing, governing, and continuously evolving the AI operating system that underpins how Global Commercial Strategy (GCS) works. This leader owns the transformation architecture — the roadmap, standards, and operating model that ensure GCS compounds its AI investment into organizational intelligence and produces a well-governed, constantly evolving, integrated AI-enabled operating system across Global Commercial, Early Commercial, and Global Access Strategy & Pricing. Working in close partnership with the CMO AI Acceleration vertical that owns the tools, tiers, and technical governance, this GCS Transformation Lead will lead the systems-thinking architecture across the three core parts of GCS — determining how current and future GCS AI use cases and platforms progress seamlessly into a single integrated intelligence system that elevates judgment, not just activity, and that translates commercial strategy into AI-native ways of working at enterprise scale. The role operates across three divisions with materially different operating models, evidence standards, and commercial realities, in a highly matrixed organization undergoing significant internal and external change. It must deliver near-term efficiency gains without loss of productivity or quality, sustain revenue growth, and govern the AI architecture during a period of significant inline and pipeline shifts. The leader must also continuously evaluate the external environment — new technology, competitor strategies, and changing customer, payer, and patient behaviors — and translate those signals into prioritized architectural improvements. Success in this role requires a senior commercial leader who combines deep commercial domain mastery with hands-on AI architecture capability, not as adjacent skills but as an integrated operating model. This leader must be equally at home setting standards with GCS TA VPs and building canonical reference systems from scratch and must hold quality and outcomes over time across the full commercial cycle — pipeline, in-line, launch, and LoE. Success will be measured not only by adoption and capability rates, but by outcomes: efficiency targets delivered first time and in full, commercial capability maintained through headcount changes, and a compounding return on AI investment that makes GCS faster, smarter, and more competitive over time.
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Job Type
Full-time
Career Level
Director