EPAM Systems

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

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SeniorHybryda·PoznańFull-time

#438011·Dodano miesiąc temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Product Managementdata product managementLife SciencesGenerative AIData StrategyPresalesStakeholder Management

Podsumowanie oferty

The role involves managing program-level outcomes and shaping commercial product and data strategy in the pharmaceutical and life sciences sector. The Product Manager will lead AI and data consulting engagements, work closely with senior stakeholders, and help global pharma companies adopt AI and data responsibly. Key responsibilities include managing consulting projects, defining strategic needs, and collaborating with technical teams to deliver data and AI solutions.

Wymagania

10+ years of experience in data, analytics, and/or AI domain
3+ years in product, delivery, consulting, or presales roles
5+ years in Life Sciences / Pharma with expert knowledge of Pharma Commercial domain areas
Experience managing data products and AI products across the full lifecycle
Ability to facilitate executive-level strategy discussions and track value realization
Experience with end-user product design, UAT, and adoption facilitation
Experience with project delivery of cloud data platforms, BI, predictive analytics, ML, Generative AI, and Agentic Systems
Experience leading project teams of 10+ individuals
Excellent communication and presentation skills for technical and executive audiences
Capability to manage expectations and communicate AI capabilities honestly
Ability to frame presales opportunities into customer engagements
Passion for Data & AI with a growth mindset
German, Spanish, or French language proficiency is a strong plus

Obowiązki

Manage and coordinate consulting engagements end-to-end, ensuring delivery output, quality, and client satisfaction
Engage with business stakeholders to identify data, analytics, and AI opportunities and facilitate executive workshops
Map customer vision to data and AI products and platforms using appropriate product management techniques
Envision and oversee implementation of analytical solutions leveraging commercial domain expertise
Define success measures and track value realization, adoption levels, and change management
Collaborate with data engineering and architecture teams with understanding of cloud data platforms and data architectures
Participate in decisions on team structure and talent selection to ensure delivery excellence
Partner with account managers for strategic customer relationship building
Participate in pre-sales and up-sales initiatives by responding to RFxs, creating proposals, and presenting to clients
Lead analytics and data product initiatives across sales, marketing, customer engagement, market access, and commercial data foundation areas
Oversee AI and conversational analytics products such as natural-language query assistants and commercial copilots

Benefity

Opportunity to work with top tech minds driving innovation in AI, cloud, and digital platform modernization
Supportive team and agile, startup-like culture
Hybrid work mode with remote work possibility within Poland
Chance to work abroad up to 60 days annually
Business-driven relocation opportunities
Career development programs, thought leadership, mentoring, and soft skills programs
Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay
Participation in Employee Stock Purchase Plan with 15% discount
Benefits package including health insurance, multisport, and shopping vouchers
Referral bonuses up to $2,000
Office amenities: entertainment and relaxation zones, table tennis, football, free snacks, coffee
Corporate, social, and well-being events

Elastyczne godziny

Opieka zdrowotna

Karta sportowa

Dofinansowanie szkoleń

Kursy językowe

Pakiet relokacyjny

Udziały pracownicze

Premie

Darmowe przekąski

Inne informacje

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności dostępną na stronie: [URL removed].

EPAM Systems

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