EPAM Systems

Senior Product Manager - Data & AI in Clinical Trials

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C-Level / ManagerHybryda·GdańskFull-time

#444110·Dodano miesiąc temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Product ManagementClinical Trialsdata product managementStakeholder ManagementCDISCdata governanceBusiness IntelligenceGenerative AI

Podsumowanie oferty

The Senior Product Manager role focuses on transforming clinical trial data into actionable insights and reusable data products to support clinical trial management. The product manager will engage closely with multiple stakeholder teams across clinical operations, data reporting, and analytics. This role involves both strategic leadership and hands-on delivery to shape and implement analytics solutions throughout the clinical trial lifecycle.

Wymagania

10+ years experience in data, analytics, or AI domain.
5+ years experience in Life Sciences, Pharma, or CRO environments with hands-on clinical trial data work.
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 regulatory frameworks.
Proficiency in German, Spanish, or French is a strong plus.
Experience managing enterprise data products including platforms, warehouses, BI, and advanced analytics.
Experience managing AI products with understanding of distinctions from analytics products.
Ability to lead executive-level strategy discussions and track value realization.
Experience driving product design, running UATs, and measuring adoption.
Experience with Cloud Data Platforms, BI/Reporting, Data Catalogs, Analytics Modernization, Predictive Analytics, ML, Generative AI.
Experience leading project teams of 10+ professionals.
Excellent communication and presentation skills for both technical and business audiences.
Capability to manage expectations and articulate AI opportunities and limitations.
Passion for Data & AI and continuous learning mindset.

Obowiązki

Manage and coordinate consulting engagements end-to-end, ensuring delivery output, quality, and client satisfaction.
Engage with stakeholders across Clinical Development, Clinical Data Management, Biostatistics, and R&D Data Science to identify analytics opportunities.
Design and facilitate workshops and stakeholder interviews to prioritize clinical trial data analytics needs.
Define success measures and track value realization and adoption after solution deployment.
Advise clients on data governance and clinical trial analytics roadmap.
Map stakeholder requirements to data products and analytics solutions covering trial operations, monitoring, recruitment, compliance, and pharmacovigilance analytics.
Envision, prototype, and oversee implementation of analytical solutions based on clinical trial domain expertise.
Drive discussions on data quality, governance, clinical data standardization including CDISC-compliant models.
Collaborate effectively with data engineering and architecture teams, bridging clinical needs with technical delivery.
Participate in decisions on team composition and talent selection to ensure delivery excellence.
Partner with account managers to build and retain strategic customer relationships.
Support pre-sales and upsell activities including proposals and client presentations.

Benefity

Top tech environment focused on AI, cloud, and digital modernization.
Supportive team and agile startup-like culture.
Hybrid work mode with opportunity for remote work within Poland.
Chance to work abroad up to 60 days annually.
Business-driven relocation opportunities.
Career development, mentoring, soft skills, and well-being programs.
Certifications including Anthropic, Gemini, GCP, Azure, AWS.
English language 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 relaxation zones, table tennis, free snacks, and coffee.
Corporate social and well-being events.

Elastyczne godziny

Dofinansowanie szkoleń

Kursy językowe

Opieka zdrowotna

Karta sportowa

Premie

Udziały pracownicze

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

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