Data & AI Product Manager/Senior Product Manager in Pharma Commercial

Responsibilities

• Manage and coordinate consulting engagements end-to-end, owning delivery output, quality, and client satisfaction, or driving major pillars of broader data strategy and transformation programs
• Engage with customer business stakeholders to discover data, analytics, and AI opportunities — spanning from platform to analytics to GenAI and agentic use cases.
• Design and drive executive workshops and stakeholder interviews to define and prioritize strategic and immediate needs
• Map customer vision and requirements to specific data products, AI products, platforms, and solutions, applying the right product management techniques to each.
• Drive collaborative ideation sessions with client stakeholders and internal cross-functional teams to conceptualize target solutions
• Envision, prototype, and oversee the implementation of analytical solutions based on deep commercial domain expertise (sales, marketing, market access, etc.) and business goals.
• Drive guided analytics to solve complex challenges, leveraging non-standard visualization techniques and ad-hoc analytics in executive discussions
• Engage with clients on broader strategic dimensions—such as value realization, governance, operational change management, and what constitutes a winning roadmap of commercial analytics and AI products. Define success measures with the client at the outset and track realized value after go-live, including adoption…
• Collaborate effectively with data engineering and architecture teams. You bring a strong conceptual understanding of modern cloud data platforms (such as AWS, Azure, or Databricks) and modern data architectures (Data Lakes, Data Warehouses, Data Mesh), allowing you to bridge business commercial needs with technical…
• As a trusted vendor partner, participate in decisions regarding team structures, composition, and the selection of top-tier talent to ensure delivery excellence and right-fit project staffing

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