Data & AI Product Manager (Pharma Commercial)

Quick Facts

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

Description

Own program-level outcomes and shape commercial product and data strategy for enterprise-wide data & AI transformation in pharma. Manage consulting engagements end-to-end, run executive workshops and stakeholder interviews, and design/prototype analytical solutions including GenAI and agentic use cases. Define success measures with clients, track realized value after go-live, and lead teams delivering data platforms, analytics, and AI products.

Responsibilities

• Manage and coordinate consulting engagements end-to-end (delivery output, quality, client satisfaction)
• Discover data, analytics, and AI opportunities with business stakeholders (platform, analytics, GenAI/agentic)
• Facilitate executive workshops and stakeholder interviews to define and prioritize strategic and near-term needs
• Map customer vision to data products, AI products, platforms, and solutions using appropriate product management techniques
• Drive ideation sessions with client and internal cross-functional teams to conceptualize target solutions
• Envision, prototype, and oversee implementation of analytical solutions grounded in commercial domain expertise (sales, marketing, market access)
• Engage on governance, value realization, and operational change management; define and track success measures and adoption
• Collaborate with data engineering and architecture teams to bridge business needs with technical delivery
• Participate in team structure, composition, and staffing/talent decisions to ensure delivery excellence
• Support strategic customer relationships and presales/up-sales activities (RFxs, proposals, presentations)
• Cover pharma commercial analytics areas including sales/field-force analytics, marketing/brand analytics, omnichannel/customer engagement, market access and patient/payer analytics, commercial data foundations, 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; expert knowledge of pharma commercial domain areas (sales, marketing, customer engagement, brand strategy, omnichannel analytics)
• Demonstrated experience managing enterprise data products across the full product lifecycle
• Demonstrated experience managing AI products and clear understanding of differences vs analytics products
• Ability to facilitate executive-level strategy discussions and articulate/track value realization
• Experience working with end-users to drive product design, run UATs, and measure adoption
• End-to-end delivery experience across: cloud data platforms, BI/reporting, data catalog/marketplace, analytics modernization, predictive analytics/ML, generative AI, and agentic systems
• Experience with complex multi-market or cross-domain products and programs
• Track record leading project teams of 10+ individuals
• Excellent communication skills for both technical depth and executive narratives; ability to manage expectations and explain AI limitations
• Ability to frame presales opportunities into customer engagement
• Passion for Data & AI and a growth mindset to learn and experiment

Benefits

• Top tech minds working on innovation in AI and cloud/data platform modernization
• Supportive team and agile, startup-like culture
• Hybrid-by-design; opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually; business-driven relocation opportunities
• Career development programs, thought leadership, mentoring, and soft skills & well-being programs
• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay; Employee Stock Purchase Plan with a 15% discount
• Benefits package including health insurance and multisport; shopping vouchers
• Referral bonuses up to $2,000
• Offices with entertainment/relaxation zones and social/well-being events