Data/AI & Platforms Product Manager

Ipsen Biopharmaceuticals Inc.; Paris; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Ipsen Pharma (SAS) is seeking a Data/AI & Platforms Product Manager to own the product vision and roadmap for Ipsen's Data & AI platforms. You will align with business priorities and enterprise architecture to deliver differentiated digital capabilities.

The role coordinates agile delivery, manages demand intake, and collaborates with data engineers, analysts, platform engineers, and security to ensure scalable, compliant, and cost-efficient platform services that unlock business value.

Responsabilidades

• Product Vision, Strategy & Roadmap: define and maintain the product vision and roadmap for Data & AI platforms, aligned with business priorities and enterprise architecture.
• Demand Intake, Backlog & Prioritization: manage platform backlog with clear epics, features, and acceptance criteria.
• Platform Services, Adoption & Value Management: drive onboarding, self-service, and KPI adoption, monitor value and cost.
• Agile Delivery Coordination: coordinate design, build and run contributors; plan sprints and releases.
• Data Integration Co-Leadership: co-lead data integration with System Integration teams and governance.

Descripción del empleo

Title

Data/AI & Platforms Product Manager

Company

Ipsen Pharma (SAS)

About Ipsen

Ipsen is a mid‑sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation.

Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human‑centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company's success. Join us on our journey towards sustainable growth, creating real impact on patients and society!

For more information, visit us at https://www.ipsen.com/ and follow our latest news on LinkedIn and Instagram .

Job Description

The Data & AI team helps Ipsen functions and businesses leverage technology, data, and advanced analytics to boost performance. We directly support Ipsen strategic priorities through the delivery of differentiating digital products and the development of robust, scalable Data & AI capabilities.

Within this context, the PM Data & AI Platforms owns the product vision, roadmap, backlog and value realization of Ipsen's Data & AI platforms. The role acts as the bridge between business domains, Data & AI delivery teams, platform engineering, architecture, security, compliance and run operations.

The role ensures that platform capabilities such as Databricks on AWS, Power BI enablement, AI and agentic capabilities, governance, onboarding, self‑service, FinOps, observability and GxP readiness are translated into clear, prioritized, adopted and measurable platform services.

The role also contributes to the ownership of Data Integration capabilities, in co‑lead with System Integration teams, ensuring that integration patterns, priorities and services are aligned with Data & AI platform needs and enterprise integration standards.

Beyond delivery coordination, the PM Data & AI Platforms drives stakeholder alignment, demand intake, platform adoption, service lifecycle management and continuous improvement, ensuring that Data & AI platforms deliver tangible value while remaining scalable, secure, compliant and cost‑efficient.

WHAT - Main Responsibilities & Technical Competencies

• Product Vision, Strategy & Roadmap Define and maintain the product vision and roadmap for Data & AI platforms, aligned with business priorities, Data && AI strategy and enterprise architecture principles. Translate strategic priorities into a sequenced, realistic and value‑driven platform backlog. Ensure roadmap transparency across stakeholders, including business domains, Data & AI teams, IT, architecture, security, compliance and run operations.
• Demand Intake, Backlog & Prioritization Own the demand intake process for platform‑related requests, ensuring needs are captured, qualified, clarified and prioritized. Manage and arbitrate the platform backlog based on business value, regulatory constraints, technical dependencies, risk, capacity and cost. Define clear epics, features, user stories, acceptance criteria and success measures for platform capabilities and services.
• Platform Services, Adoption & Value Management Structure and continuously improve the Data & AI platform service catalogue, including onboarding, self‑service, managed services and scoped engagements. Drive adoption of platform capabilities across personas such as data engineers, analysts, data scientists, application developers, data owners and business users. Define and monitor OKRs, KPIs and adoption metrics covering business outcomes, platform usage, service performance, delivery efficiency, reliability and cost.
• Agile Delivery Coordination Coordinate delivery across design, build and run contributors to ensure platform increments are delivered in a governed, traceable and business‑aligned manner. Facilitate sprint planning, backlog refinement, roadmap reviews, release planning and stakeholder demos where relevant. Ensure smooth transition from build to run, including knowledge transfer, operating model readiness, support model definition and service documentation.
• Data Integration Co‑Leadership Co‑lead the Data Integration capability with System Integration teams, clarifying shared ownership, responsibilities and decision‑making boundaries. Ensure the Data Integration roadmap, backlog and priorities are aligned with Data & AI platform strategy, business demand and enterprise integration architecture. Coordinate integration patterns, service definitions, delivery dependencies and run responsibilities across Data & AI, System Integration, architecture, security and operations. Promote standardization, reusability, observability and governance of data i