Data & AI Product Manager (Pharma Commercial)

Quick Facts

• Role: Data & AI Product Manager (Pharma Commercial) — Manager / Senior Manager level

Description

You will lead end-to-end consulting engagements to turn pharma commercial business challenges into data-driven strategies, analytics solutions, and AI/GenAI offerings. The role focuses on owning program-level outcomes—defining strategic priorities with executives, mapping vision to data/AI products and platforms, and tracking realized value after go-live. You will collaborate with data engineering and architecture teams to modernize cloud data foundations and oversee implementation of analytical and AI capabilities.

Responsibilities

• Manage and coordinate consulting engagements end-to-end, ensuring delivery output, quality, and client satisfaction
• Discover data, analytics, and AI opportunities with business stakeholders (platform, analytics, GenAI, agentic use cases)
• Run 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
• Facilitate ideation sessions across client stakeholders and cross-functional internal teams
• Envision, prototype, and oversee implementation of analytical solutions using pharma commercial domain expertise (sales, marketing, market access, etc.)
• Lead value realization activities, defining success measures at the outset and tracking adoption/change-management impact after go-live
• Collaborate with data engineering and architecture teams on cloud data platforms and modern data architectures (e.g., data lakes, data warehouses, data mesh)
• Participate in team-structure and staffing decisions and partner with account managers on strategic customer relationships
• Support pre-sales/up-sales: handle discovery in high ambiguity, respond to RFxs, create proposals, and present them to prospects
• Apply domain expertise across sales/field force analytics, marketing/brand analytics, omnichannel engagement, market access analytics, commercial data foundation, and AI/conversational analytics

Benefits

• Hybrid work model with opportunity to work remotely within Poland
• Chance to work abroad up to 60 days annually and business-driven relocation opportunities
• Career development programs, mentoring, soft skills and well-being programs
• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay and participation in Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers), referral bonuses up to $2,000
• Office amenities and social events