EPAM Systems

Senior Product Manager - Data & AI in Clinical Trials

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C-Level / ManagerHybryda·KatowiceFull-time

#444100·Dodano miesiąc temu·2

Źródło: justjoin.it

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Tech Stack / Keywords

CDISCSDTMADaMCloud Data PlatformsData modelingBIdata governanceMedidata RaveVeeva EDCOracle InForm

Podsumowanie oferty

The role involves managing and delivering data and AI products that transform clinical trial data into actionable analytics to support trial teams. The Senior Product Manager will work closely with various clinical and data teams, shaping analytics roadmaps and overseeing solution design for clinical trial lifecycle support. Responsibilities include stakeholder engagement, product delivery, and collaboration with technical teams across cloud platforms and data standards.

Wymagania

10+ years of experience in data, analytics, and/or AI domain
5+ years experience in Life Sciences, Pharma, or CRO with clinical trial data focus
Familiarity with clinical data standards (CDISC), EDC platforms (Medidata Rave, Veeva EDC, Oracle InForm), CTMS platforms (Veeva Vault CTMS, Medidata CTMS)
Knowledge of clinical analytics use cases including trial operations, site monitoring, recruitment, compliance, and pharmacovigilance
Working knowledge of ICH E6 GCP, 21 CFR Part 11, GDPR/HIPAA, and other clinical trial regulations
Experience managing data products including data platforms, warehouses, data lakes, BI, and advanced analytics
Experience managing AI products and understanding distinctions from analytics products
Ability to lead executive-level strategy discussions and value tracking
Experience engaging end users, driving product design, running UATs, and measuring adoption
Experience with Cloud Data Platforms (AWS, Azure, Databricks), BI/Reporting, Data Catalogs, Analytics Modernization, Predictive Analytics & ML, Generative AI
Exposure to complex multi-market or cross-domain products and leadership of teams of 10+ professionals
Excellent communication and presentation skills for both technical and executive audiences
Ability to manage customer expectations and articulate AI opportunities and limitations
Passion for Data & AI and commitment to continuous learning

Nice to have:

Experience with TMF systems (Veeva Vault) and LMS platforms
Experience with DCT platforms and remote/hybrid trial data
Experience handling imaging/DICOM or unstructured clinical data
Knowledge of pharmacovigilance platforms (Argus, ArisG, Veeva Safety) and Phase IV/post-marketing analytics
Prior consulting or vendor-side delivery experience in life sciences

Obowiązki

Manage and coordinate consulting engagements end-to-end, owning delivery output, quality, and client satisfaction
Engage with stakeholders across Clinical Development, Trial Management, Data Management, Biostatistics, and R&D Data Science to identify analytics opportunities
Design and facilitate workshops and stakeholder interviews to define and prioritize needs
Define success measures and track value realization, adoption, and change management
Map stakeholder vision to data products, platforms, and analytics solutions across clinical trial data landscape
Envision, prototype, and oversee implementation of analytical solutions for clinical trial domains
Drive discussions on data quality, governance, standardization, and clinical data standards adoption (CDISC, SDTM, ADaM)
Advise clients on data governance and clinical trial analytics roadmaps
Collaborate with data engineering and architecture teams, maintaining hands-on involvement in data modeling and transformation
Participate in team decisions regarding structure, composition, and talent selection
Partner with account managers to build and retain strategic customer relationships
Support pre-sales and upsell initiatives, contribute to RFx responses and client presentations

Benefity

Opportunity to work in a hybrid mode with remote work possibility within Poland
Chance to work abroad up to 60 days annually
Business-driven relocation opportunities
Career development programs including mentoring and certification (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay and 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 and football, free snacks, coffee
Corporate, social and well-being events
Opportunity to work with top tech minds in AI, cloud, and digital platform modernization
Supportive team and agile, startup-like culture

Elastyczne godziny

Pakiet relokacyjny

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Spotkania integracyjne

Kursy językowe

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Udział w zyskach

Premie

Darmowe przekąski

Napoje w biurze

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: https://www.epam.com/applicant-privacy-notice

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