Data & Al Consulting Manager (Pharma) (k/m)

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SeniorZdalnie·GdańskFull-time

#452616·Dodano 28 dni temu·0

Źródło: KDR Human Resources Consulting

Tech Stack / Keywords

GenAIagentic systemsMLadvanced analyticsdata platformsdata warehousesdata lakesBIMLCloud Data Platforms

EPAM's Data & AI Practice specializes in advising top global pharmaceutical companies on AI and data-driven commercial transformations.

10+ years experience in data, analytics, and/or AI domain
3+ years in product, delivery, consulting, or presales roles
5+ years experience in Life Sciences/Pharma with expert knowledge of Pharma Commercial domains
Familiarity with industry data and platforms such as IQVIA, Veeva, SAP is a strong plus
Experience managing data and AI products across full product lifecycle
Ability to facilitate executive-level strategy discussions including value tracking
Experience working with end-users on product design, UATs, and adoption measurement
Experience in end-to-end project delivery across Cloud Data Platforms, BI/Reporting, Data Catalog, Predictive Analytics, Generative AI, and Agentic Systems
Exposure to complex multi-market or cross-domain products and programs
Proven leadership of project teams with 10+ individuals
Excellent communication and presentation skills for technical and executive audiences
Ability to manage customer expectations and explain AI capabilities and limitations
Ability to frame presales opportunities into customer engagements
Passion for Data & AI and commitment to continuous learning

Nice to have:

Manage and coordinate consulting engagements end-to-end, owning delivery output, quality, and client satisfaction
Engage with customer business stakeholders to discover data, analytics, and AI opportunities
Design and drive executive workshops and stakeholder interviews
Map customer vision and requirements to specific data and AI products, platforms, and solutions
Envision, prototype, and oversee implementation of analytical solutions based on commercial domain expertise
Engage with clients on strategic dimensions such as value realization, governance, and operational change management
Collaborate with data engineering and architecture teams, bridging business needs with technical delivery
Participate in team structuring and project staffing decisions
Partner with account managers to build and retain strategic customer relationships
Partner with business development for pre-sales and up-sales initiatives
Develop analytics products in sales & field force, marketing & brand, customer engagement, market access, and commercial data foundation
Implement AI & conversational analytics solutions including natural-language query assistants and automation of commercial reporting

KDR Human Resources Consulting

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