Data/AI & Platforms Product Manager

Title:

Data/AI & Platforms Product Manager

Company:

Ipsen Pharma (SAS)

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.

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.

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.

• 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, adoption reporting and executive-level status updates.
• Ability to manage complexity, trade-offs, dependencies, risks, capacity constraints and competing priorities.
• Strong orientation toward value delivery, adoption, service quality, operational readiness and measurable business outcomes.
• Open and transparent communication, with a collaborative mindset and the ability to operate in a changing environment.
• 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
• Proficient in French and English

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