EPAM Systems

Senior Product Manager - Data & AI in Clinical Trials

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C-Level / ManagerHybryda·WrocławFull-time

#444096·Dodano miesiąc temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Product Managementdata product managementClinical TrialsCDISCSDTMADaMdata governance

Podsumowanie oferty

This role at EPAM involves managing and coordinating end-to-end consulting engagements focused on clinical trial data and analytics. The Senior Product Manager works across multiple clinical trial functions to translate data into reusable products and decision-ready analytics. They combine strategic engagement leadership with hands-on delivery to shape the analytics roadmap and build solutions across the clinical trial and patient lifecycle.

Wymagania

10+ years of experience in data, analytics, or AI.
5+ years in Life Sciences, Pharma, or CRO environments with hands-on clinical trial data experience.
Familiarity with clinical data standards like CDISC, and platforms including Medidata Rave, Veeva EDC, Oracle InForm, Veeva Vault CTMS, and Medidata CTMS.
Knowledge of clinical analytics use cases including trial operations, site monitoring, patient recruitment, compliance reporting, and pharmacovigilance.
Working knowledge of ICH E6 GCP, 21 CFR Part 11, GDPR/HIPAA, and clinical trial regulatory frameworks.
Proficiency in German, Spanish, or French is a strong plus.
Experience managing data products and AI products across full product lifecycle.
Ability to facilitate executive-level strategy discussions and value articulation.
Experience with end user engagement including product design and UATs.
Experience delivering projects involving Cloud Data Platforms, BI, Data Catalogs, Predictive Analytics, ML, Generative AI, and Agentic Systems.
Experience leading project teams of 10+ professionals.
Excellent communication and presentation skills targeting technical and business audiences.
Ability to manage customer expectations and articulate AI opportunities and limitations.
Passion for Data & AI and commitment to staying ahead of industry trends.

Nice to have:

Exposure to TMF systems and LMS platforms.
Experience with DCT and remote/hybrid trial data sources.
Experience with imaging/DICOM and unstructured clinical data.
Knowledge of pharmacovigilance platforms and Phase IV/post-marketing analytics.
Prior consulting or vendor-side delivery experience within life sciences.

Obowiązki

Manage and coordinate consulting engagements end-to-end, owning delivery output, quality, and client satisfaction.
Engage with customer stakeholders across Clinical Development and Clinical Trial Management, Clinical Data Management, Biometrics, Biostatistics, and R&D Data Science to identify and prioritize analytics opportunities.
Define success measures, track value realization, adoption, and change management post go-live.
Map stakeholder vision to data products and analytics solutions including trial operations, CRA and site monitoring, patient recruitment, data integration, compliance analytics, and pharmacovigilance use cases.
Envision, prototype, and oversee implementation of analytical solutions based on clinical trial domain expertise.
Drive discussions on data quality, governance, transformation, and standardization including CDISC-aligned data models and SDTM/ADaM mappings.
Collaborate with clients on value realization, data governance, operational change management, and clinical trial analytics roadmaps.
Work effectively with data engineering and architecture teams integrating cloud data platforms (AWS, Azure, Databricks) and clinical data standards.
Participate in decisions regarding team structure and project staffing.
Partner with account managers to build and retain strategic customer relationships.
Support pre-sales and upsell initiatives partnering with business development teams, including RFx responses and client presentations.

Benefity

Hybrid work mode with opportunity to work remotely within Poland.
Chance to work abroad for up to 60 days annually.
Business-driven relocation opportunities.
Career development programs including mentoring and soft skills training.
Certification support for 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.
Offices with entertainment and relaxation zones, table tennis, football, free snacks, and coffee.
Corporate, social, and well-being events.
Terms of B2B cooperation agreements agreed individually for contractors.

Elastyczne godziny

Dofinansowanie szkoleń

Budżet konferencyjny

Kursy językowe

Opieka zdrowotna

Karta sportowa

Premie

Darmowe przekąski

Napoje w biurze

Płatny urlop

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

EPAM Systems

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