EPAM Systems

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

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SeniorHybryda·WrocławFull-time

#437989·Dodano miesiąc temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Product ManagementData StrategyPharmaStakeholder ManagementGenerative AIData architectureCloud Data Platforms

Podsumowanie oferty

The role involves managing AI and data consulting engagements in the pharmaceutical commercial sector. The manager will lead enterprise-wide commercial data and AI transformation programs, working with senior stakeholders to shape product and data strategy. Key responsibilities include overseeing project delivery, engaging with clients to identify AI opportunities, and driving value realization from analytics and AI solutions.

Wymagania

Over 10 years experience in data, analytics, or AI domains
Minimum 3 years in product, delivery, consulting, or presales roles
More than 5 years in Life Sciences/Pharma with expert knowledge in commercial domains (sales, marketing, customer engagement, brand strategy)
Familiarity with industry data and platforms like IQVIA, Veeva, SAP
Proficiency in German, Spanish, or French is a strong plus
Proven experience managing data products across full lifecycle including data platforms, warehouses, lakes, BI, and advanced analytics
Experience managing AI products and understanding distinctions from analytics products
Ability to facilitate executive-level strategy discussions, value articulation, and tracking
Experience with end-user engagement, product design, UATs, and adoption measurement
Experience delivering projects in Cloud Data Platforms, BI/Reporting, Data Catalog, Analytics Migration, Predictive Analytics, Generative AI, and Agentic Systems
Experience with complex multi-market or cross-domain programs
Track record leading project teams of 10+ individuals
Excellent communication and presentation skills balancing technical depth and executive narratives
Capability to manage customer expectations regarding AI capabilities and limitations
Ability to transition presales opportunities into customer engagements
Passion for Data & AI with continuous learning mindset

Obowiązki

Manage and coordinate data & AI consulting engagements end-to-end, ensuring delivery output, quality, and client satisfaction
Engage with business stakeholders to identify data, analytics, and AI opportunities, conducting executive workshops and stakeholder interviews
Map customer vision to data and AI products and platforms, and drive ideation sessions with clients and internal teams
Envision, prototype, and oversee implementation of analytical solutions leveraging commercial domain expertise
Define success measures and track value realization and adoption post-implementation
Collaborate with data engineering and architecture teams, leveraging knowledge of cloud data platforms and data architectures without coding
Participate in decisions on team structures, talent selection, and project staffing
Partner with account managers to build and retain strategic customer relationships
Support pre-sales and up-sales activities, including responding to RFxs and proposal creation
Lead sales and field force analytics including territory alignment and incentive compensation modeling
Lead marketing and brand analytics, competitive benchmarking, and launch performance analytics
Manage customer engagement and omnichannel analytics, including next-best-action models
Oversee market access, patient, and payer analytics, including journey modeling and access analytics
Manage commercial data foundation activities like syndicated data integration, CRM platforms, data harmonization, and governance
Drive AI and conversational analytics initiatives such as natural-language query assistants and automation of commercial reporting

Benefity

Working with top technical minds in AI, cloud, and digital platform modernization
Supportive team with agile, startup-like culture
Hybrid work mode with remote work option within Poland
Opportunity for up to 60 days work abroad annually
Business-driven relocation opportunities
Career development programs including mentoring and soft skills
Certifications in Anthropic, Gemini, GCP, Azure, AWS
English language classes
Stable pay
Participation in Employee Stock Purchase Plan with 15% discount
Benefits package including health insurance, multisport, shopping vouchers
Referral bonuses up to $2,000
Offices with entertainment and relaxation zones, table tennis, football, free snacks, and coffee
Corporate, social, and well-being events
Note: Benefits are for employees only; B2B cooperation terms negotiated individually

Elastyczne godziny

Pakiet relokacyjny

Dofinansowanie szkoleń

Kursy językowe

Opieka zdrowotna

Karta sportowa

Premie

Udziały pracownicze

Płatny urlop

Napoje w biurze

Darmowe przekąski

Spotkania integracyjne

Inne informacje

By applying, candidates agree to the processing of personal data by EPAM Systems (Poland) sp. z o.o. in accordance with the Privacy Policy. Benefits listed are only for employees. EPAM will contact selected candidates exclusively. Not open for Ukrainian hires.

EPAM Systems

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