Senior Product Manager - Data & AI in Clinical Trials

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SeniorHybrydaFull-time

#443921·Dodano miesiąc temu·0

Źródło: EPAM Systems

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Tech Stack / Keywords

CDISCMedidata RaveVeeva EDCOracle InFormVeeva Vault CTMSMedidata CTMSAWS Azure Databricks GCP

Podsumowanie oferty

This role involves managing the development of data products that turn fragmented clinical trial data into actionable insights. The Senior Product Manager works closely with stakeholders across clinical operations, data engineering, and analytics to build interactive dashboards, pipelines, and curated data products to improve clinical trial effectiveness. The position blends strategic leadership with hands-on solution design and delivery across clinical trial phases and patient lifecycle. Key responsibilities include shaping analytics roadmaps, overseeing implementation of analytical solutions, and collaborating with technical teams and clients.

Wymagania

10+ years of experience in data, analytics, and/or AI domains.
5+ years experience in Life Sciences, Pharma, or CRO environments with clinical trial data hands-on work.
Familiarity with clinical data standards (CDISC), EDC platforms (Medidata Rave, Veeva EDC, Oracle InForm), CTMS platforms (Veeva Vault CTMS, Medidata CTMS), and relevant clinical analytics use cases.
Knowledge of ICH E6 GCP, 21 CFR Part 11, GDPR/HIPAA, and other clinical regulatory frameworks.
Experience managing data products including data platforms, warehouses, lakes, BI, and advanced analytics solutions.
Experience managing AI products and understanding their differences from analytics products.
Ability to facilitate executive-level strategy discussions, value articulation, and realization tracking.
Experience in product design, user acceptance testing, and measuring product adoption.
Experience delivering projects involving Cloud Data Platforms, BI/Reporting, Data Catalogs, Analytics Modernization, Predictive Analytics & ML, Generative AI, and Agentic Systems.
Track record of leading project teams of 10+ professionals.
Excellent communication and presentation skills.
Ability to manage customer expectations and articulate AI opportunities and limitations.
Ability to transform presales opportunities into successful engagements.
Passion for Data & AI and continuous learning mindset.

Nice to have:

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

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 data and analytics opportunities.
Design and facilitate workshops and stakeholder interviews to define and prioritize strategic and immediate needs.
Define success measures and track value realization, adoption, and change management after go-live.
Advise clients on data governance and clinical trial analytics roadmaps.
Map stakeholder vision to specific data products and analytics solutions across clinical trial data landscape.
Drive ideation sessions with client stakeholders and cross-functional teams to conceptualize solutions.
Envision, prototype, and oversee implementation of analytical solutions for clinical trial operations and lifecycle analytics.
Drive discussions on data quality, governance, and standardization across diverse clinical data sources.
Collaborate with data engineering and architecture teams, bringing understanding of cloud data platforms (AWS, Azure, Databricks) and clinical data standards (CDISC).
Participate in decisions regarding team structures, composition, and talent selection.
Partner with account managers to build and retain strategic customer relationships.
Support pre-sales and upsell initiatives with business development teams.

Benefity

Hybrid work mode with opportunity to work remotely within Poland.
Chance to work abroad up to 60 days annually.
Business-driven relocation opportunities.
Career development programs, thought leadership, mentoring, soft skills, and well-being programs.
Certification support (Anthropic, Gemini, GCP, Azure, AWS).
Employer-paid 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.
Terms of B2B cooperation agreements are agreed individually for contractors.

Elastyczne godziny

Płatny urlop

Ubezpieczenie

Karta sportowa

Opieka zdrowotna

Premie

Udziały pracownicze

Kursy językowe

Dofinansowanie szkoleń

Budżet konferencyjny

Spotkania integracyjne

Darmowe przekąski

Napoje w biurze

EPAM Systems

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