Data/AI & Platforms Product Manager

Ipsen Pharma (SAS); Paris; On-site; EUR 90,000 - 130,000; Full time

Job summary

Ipsen is seeking a Data/AI & Platforms Product Manager to own the product vision and roadmap for enterprise Data & AI platforms. You will bridge business domains and delivery teams, translating complex needs into clear backlog items, Epics and measurable outcomes.

You will coordinate agile delivery, drive platform adoption across data engineers, analysts and data scientists, and ensure governance, security and cost-awareness.

Qualifications

• Master’s degree or equivalent in Information Systems, Data, Digital Product Management, Engineering, Business or related field.
• 8+ years in product ownership, delivery management, data platforms or data-related transformations.
• Proven ability to define vision, roadmap, backlog and priorities in complex stakeholder environments.
• Strong understanding of Data & AI platform capabilities: data engineering, analytics, BI, AI/ML, governance, security and FinOps.
• Experience with Databricks, AWS, Power BI, Snowflake, GitHub and CI/CD concepts.
• Experience with data integration, system integration or enterprise data sharing.
• Excellent stakeholder management, communication and influencing skills.
• Ability to translate business and technical needs into clear requirements and measurable outcomes.

Responsibilities

• Define product vision and roadmap for Data & AI platforms aligned with business priorities.
• Own backlog with epics, features, user stories, and acceptance criteria.
• Structure and improve the platform service catalogue, onboarding, self-service and managed services.
• Coordinate agile delivery across design, build and run teams with governance and traceability.
• Co-lead Data Integration with System Integration teams and ensure aligned roadmaps.
• Ensure governance, security, compliance and risk alignment in platform initiatives.
• Engage stakeholders with regular communication, roadmaps, release notes and adoption dashboards.

Skills

Product ownership

Backlog management

Agile delivery

Stakeholder management

Databricks

AWS

Power BI

Data governance

Education

Master’s degree

Tools

Databricks

AWS

Power BI

Snowflake

CI/CD

Job description

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 integration services across platforms and domains.
• Governance, Compliance & Risk Alignment Ensure platform initiatives comply with Data & AI governance, security, architecture, GxP, data protection and internal control requirements. Work closely with architecture, security, compliance, data governance and quality teams to embed compliance-by-design into platform services. Maintain traceability of key decisions, priorities, risks, dependencies and delivery commitments.
• Stakeholder Engagement & Communication Act as the main product interface for Data & AI platforms, ensuring clear communication with internal clients, delivery teams and leadership. Align expectations on scope, timelines, service levels, dependencies and responsibilities. Promote the platform value proposition through clear documentation, onboarding journeys, training material and community engagement. Establish and maintain regular communication rituals, including roadmap updates, release notes, adoption dashboards, stakeholder briefings, governance updates and targeted communications to ensure transparency, alignment and engagement across the Data & AI platform ecosystem.

Knowledge & Experience (essential)

• Master’s degree or equivalent experience in Information Systems, Data, Digital Product Management, Engineering, Business or a related field.
• 8+ years of experience in product ownership, product management, delivery management, data platforms, digital platforms or data-related transformation programs.
• Proven ability to define a product vision, build and maintain a roadmap, manage a backlog and arbitrate priorities in complex stakeholder environments.
• Strong understanding of Data & AI platform capabilities, including data engineering, analytics, BI, AI/ML, GenAI, governance, security, observability and FinOps.
• Good understanding of modern data platform ecosystems such as Databricks, AWS, Power BI, Snowflake, GitHub and CI/CD concepts.
• Experience working with technical teams, architects, engineers, data product teams, business stakeholders and run operations.
• Experience working with data integration, system integration or enterprise integration teams, including integration patterns, APIs, data pipelines, event-driven flows, operational handovers and shared ownership models.
• Strong ability to translate business and technical needs into clear requirements, user stories, acceptance criteria, service definitions and measurable outcomes.
• Experience with Agile delivery practices, sprint ceremonies, release planning, stakeholder demos and continuous improvement.
• Strong stakeholder management, communication facilitation and influencing skills, including the ability to align senior business and technical stakeholders.
• Ability to design and run regular communication plans for platform stakeholders, including roadmap communication, release updates, service announcements and adoption.

Knowledge & Experience (preferred)

• Experience in the pharmaceutical or healthcare industry.
• Understanding of GxP, GDPR, HIPAA, PHI/PII constraints and compliance-driven delivery models.
• Experience with data product operating models, platform service catalogues, product onboarding journeys and adoption metrics.
• Experience participating in governance forums, architecture reviews, design authorities or portfolio prioritization committees.
• Strong documentation and communication skills, including roadmaps, product briefs, service definitions, decision records and executive-level updates.

Education / Certifications (preferred)

• Agile Product Owner / Scrum Product Owner certification
• Product Management, SAFe, Agile or ITIL certification
• Databricks, AWS or cloud/data platform awareness certification is a plus

Language(s) (essential)

• Proficient in French and English

Nous nous engageons à créer un lieu de travail où chacun se sent écouté, valorisé et soutenu, où nous incarnons « The Real Us*». La valeur que nous accordons aux différentes perspectives et expériences motive notre engagement en faveur de l'inclusion et de l'égalité des chances. Lorsque nous intégrons des modes de pensée diversifiés, nous prenons des décisions plus réfléchies et découvrons des solutions plus innovantes. Ensemble, nous nous efforçons de mieux comprendre les communautés que nous servons. Cela signifie que nous voulons également vous aider à donner le meilleur de vous-même lorsque vous postulez à un poste chez nous. Si vous avez besoin d'aménagements ou d'aide pendant le processus de candidature, veuillez en informer l'équipe de recrutement. Ces informations seront traitées avec soin et n'auront aucune incidence sur le résultat de votre candidature. *Soyons nous-même At Ipsen, each employee makes a real impact. Our teams are passionate about what they do because they care about making a difference in patients’ lives. Our teams invest in our employees to support life-changing projects that create positive impact for patients and society.

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