Data & AI Product Manager (Pharma Commercial)

Quick Facts

• Role: Data & AI Product Manager (Pharma Commercial)

Description

Own program-level outcomes for pharma commercial data and AI transformation initiatives, translating business needs into analytics, AI, and data platform roadmaps. Lead and coordinate consulting engagements end-to-end, facilitating executive workshops, discovery, and delivery while driving measurable value adoption post go-live. Build and lead high-caliber teams and support pre-sales by shaping proposals for GenAI, agentic systems, ML, and advanced analytics use cases.

Responsibilities

• Manage and coordinate consulting engagements end-to-end, owning delivery output, quality, and client satisfaction
• Discover data, analytics, and AI opportunities with pharma business stakeholders (platform, analytics, GenAI/agentic use cases)
• Run executive workshops and stakeholder interviews to define and prioritize strategic needs
• Map customer vision to data products, AI products, platforms, and solutions
• Facilitate ideation sessions across client and internal cross-functional teams to conceptualize target solutions
• Prototype and oversee implementation of analytical solutions based on commercial domain expertise
• Drive guided analytics using non-standard visualization and ad-hoc analysis for executive discussions
• Partner on value realization, governance, and operational change management; define and track success measures and adoption post go-live
• Collaborate with data engineering and architecture teams to bridge business needs with technical delivery
• Support team staffing decisions and selection of talent to ensure delivery excellence
• Grow strategic customer relationships and participate in pre-sales/up-sales
• Respond to RFxs and create/present proposals in high-ambiguity discovery phases
• Work across pharma commercial domains including sales/field force, marketing/brand, omnichannel engagement, market access & payer analytics, commercial data foundation, and AI/conversational analytics

Requirements

• 10+ years total experience in data, analytics, and/or AI
• 3+ years in product, delivery, consulting, or presales roles
• 5+ years in Life Sciences/Pharma with expert knowledge of Pharma Commercial domains (sales, marketing, customer engagement, brand strategy, omnichannel analytics)
• Demonstrated experience managing enterprise data products across the full product lifecycle (platforms, warehouses, lakes, BI, advanced analytics)
• Demonstrated experience managing AI products, including understanding how AI products differ from analytics products
• Experience facilitating executive-level strategy discussions and articulating/tracking value realization
• Experience working with end-users (product design, UAT, adoption measurement)
• End-to-end delivery experience across cloud data platforms, BI/reporting, data catalog/marketplace, analytics modernization, predictive analytics/ML, generative AI, and agentic systems
• Exposure to complex multi-market or cross-domain products/programs
• Track record leading project teams of 10+ individuals
• Excellent communication skills for both technical depth and executive narratives
• Ability to manage customer expectations and explain what AI can and can’t do
• Ability to frame presales opportunities into customer engagements
• Passion for Data & AI and a growth mindset
• German, Spanish, or French proficiency is a strong plus

Benefits

• Hybrid-by-design; opportunity to work remotely within Poland
• Work abroad up to 60 days annually
• Business-driven relocation opportunities
• Career development programs, mentoring, and thought leadership
• Soft skills and well-being programs
• Certifications: Anthropic, Gemini, GCP, Azure, AWS
• English classes
• Stable pay and Employee Stock Purchase Plan (15% discount)
• Benefits package: health insurance, multisport, shopping vouchers
• Referral bonuses up to $2,000
• Office perks and corporate/social/well-being events