About the Role:

As D&A Product Owner PLM, you will play a key role in delivering both the IT & Data mission and ambition by enabling business growth through technology and data.

The role begins with leading data delivery and deployment readiness for Cybele/PLM implementations and progressively transitions into full Data Product Ownership for the PLM ecosystem, ensuring trusted, governed, and business-value-driven data assets across R&I.

Technical Skills Required:

- Master's in CS / Engineering / Statistics / IT / Information Systems

- 10+ years of total experience; 5 - 7 years Data Product Management, agile, full product lifecycles (discovery delivery)

- Strong experience in the FMCG/ Retail Data & Analytics Domain

- Proven track record of implementing Data products related to Product Lifecycle Management (Ingredients, Semi Finished Goods, BOM, Packaging Items) and experience in integrating sources with standard MDM principles.

- Ability to demonstrate a mix of technical skills and business processes knowledge and proven experience in rolling out a data product in multiple markets.

- Essential to have experience in data catalogue documentation and manage the product use throughout all the stages of the product lifecycle.

- Strong experience working with Data Architects, Ingestion, Data scientists and visualization teams in an agile framework.

- Expert knowledge and demonstrated abilities to lead squads and tribes with ability to define user stories and prioritizing backlog in accordance with the Senior Product Owners vision of the product.

- Strong ability to connect and federate distinct stakeholders in a complex organization, managing stakeholders from Global, Local, Business and IT colleagues.

- Experienced implementing modern data strategies and solutions using cloud technologies (Azure, AWS, Google), Informatica Cloud, Databricks, Power BI or similar tools

- Capability to express complex data concepts into lay language for stakeholder management

Key Responsibilities:

CYBELE Deployment:

- Own the successful deployment of CYBELE PLM across regions, categories, and manufacturing sites, ensuring alignment with the global process model and business objectives.

- Act as the primary IT representative for data deployment activities, driving scope decisions, deployment readiness, risk management, and stakeholder alignment throughout the programme lifecycle.

- Ensure adoption of standardized PLM processes, data governance principles, and harmonized ways of working across R&I, Operations, Quality, and Master Data teams.

Data Factory Management:

- Lead Data Factory activities covering data scoping, profiling, cleansing, enrichment, validation, and migration readiness to support successful CYBELE deployments.

- Govern delivery priorities, resource allocation, execution plans, and performance metrics across Data Factory teams, deployment waves, and external partners.

- Drive continuous improvement of data quality, automation, and migration methodologies, leveraging lessons learned to scale delivery across future deployment waves.

Support & Hypercare:

- Own post go-live support and hypercare activities, ensuring rapid issue resolution, business continuity, and seamless transition into business-as-usual operations.

- Coordinate cross-functional support teams, IT partners, and business stakeholders to manage defects, prioritize remediation, and monitor deployment KPIs.

- Establish governance and escalation mechanisms to proactively identify risks and ensure deployment objectives are achieved.

Data Migration:

- Define and oversee end-to-end data migration strategy, ensuring accurate, complete, and compliant transfer of product, specification, and master data into CYBELE.

- Drive data mapping, cleansing, digitization, validation, and quality assurance activities across structured and unstructured data sources.

- Ensure migration readiness by partnering with business data owners, validating data quality requirements, and delivering a trusted single source of truth for PLM processes.

PLM Data Product Ownership:

- Own the vision, strategy, and roadmap for PLM data products and associated data assets.

- Partner with R&I business stakeholders to translate business needs into prioritized data capabilities and enhancements.

- Define and manage data product backlogs, requirements, and value delivery metrics.

- Ensure data quality, governance, metadata, and business ownership are embedded across the PLM landscape.

- Drive harmonization and standardization of PLM data across regions, functions, and deployment waves.

- Oversee the lifecycle of PLM data assets, including enhancements, support, compliance, and continuous improvement.

- Collaborate with IT&D Product SMEs, Data Leads, and Digital/Data Factory teams to deliver scalable and sustainable data solutions.

- Monitor adoption, usage, and business value realization, ensuring PLM data products continue to meet evolving R&I needs.

- Act as the primary steward and advocate for PLM data, driving data-driven decision making across the R&I organization