Data & AI Product Manager (Pharma Commercial)

Quick Facts

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

• Focus: Enterprise commercial data and AI strategy, analytics/GenAI products, and end-to-end consulting delivery

Description

You will lead program-level outcomes for enterprise data and AI transformations in the pharmaceutical commercial domain, translating GenAI, agentic systems, ML, and advanced analytics into measurable value.

You will own commercial product and data strategy at senior stakeholder level, facilitate executive workshops, and define/prioritize data and AI opportunities across platform, analytics, and GenAI use cases.

You will drive success measures with clients and track adoption and realized value after go-live.

Responsibilities

• Manage and coordinate consulting engagements end-to-end (delivery output, quality, client satisfaction)

• Discover data, analytics, and AI opportunities with business stakeholders; map them to data products, AI products, platforms, and solutions

• Facilitate executive workshops and stakeholder interviews; run ideation sessions with internal cross-functional teams

• Envision, prototype, and oversee implementation of analytics solutions using commercial domain expertise

• Lead guided analytics discussions, including executive-ready visualization and ad-hoc analysis

• Collaborate with data engineering and architecture teams to bridge business needs with technical delivery

• Support presales/up-sales: RFxs, proposals, and high-ambiguity discovery

• Work across pharma commercial analytics areas: sales/field force, marketing/brand, omnichannel/customer engagement, and market access

• Develop AI/conversational analytics solutions such as “ask-your-data” assistants and commercial copilots

Requirements

• 10+ years total experience in data, analytics, and/or AI

• 3+ years in product, delivery, consulting, or pre-sales roles

• 5+ years in Life Sciences/Pharma with expert knowledge of Pharma Commercial domain areas (sales, marketing, customer engagement, brand strategy, omnichannel analytics)

• Demonstrated experience managing data products across the full lifecycle (platforms, warehouses, lakes, BI, advanced analytics)

• Demonstrated experience managing AI products and understanding differences vs analytics products

• Ability to facilitate executive-level strategy discussions and articulate/track value realization

• Experience with end-user driven product design, including UAT and adoption measurement

• End-to-end delivery experience across cloud data platforms, BI/reporting, analytics modernization, predictive analytics/ML, Generative AI, and agentic systems

• Experience with complex multi-market or cross-domain products/programs

• Track record leading teams of 10+ individuals

• Excellent communication and presentation skills; ability to manage customer expectations and explain what AI can/can’t do

Benefits

• Hybrid by design with opportunity to work remotely within Poland; chance to work abroad up to 60 days annually

• Business-driven relocation opportunities

• Career development, thought leadership, mentoring, soft skills, and well-being programs

• Certification support (Anthropic, Gemini, GCP, Azure, AWS) and English classes

• Stable pay; Employee Stock Purchase Plan with 15% discount

• Benefits package (health insurance, MultiSport, shopping vouchers)

• Referral bonuses up to $2,000

• Corporate, social, and well-being events; offices with entertainment and relaxation zones

• Note: Benefits apply to employees; contractors are also considered under individually agreed B2B terms