Product Owner

• 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 RN1
• 1 SK1
• 2 and progressively transitions into full Data Product Ownership for the PLM ecosystem ensuring trusted governed and business value driven data assets across R I

Key Responsibilities:

• CYBELE Deployment
• Own the successful deployment of CYBELE PLM across regions categories and manufacturing sites ensuring alignment with the global process m KS2
• 1 SK2
• 2 odel 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
• 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
• 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
• 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

Technical Requirements:

• Master s in CS Engineering Statistics IT Information Systems
• 10 years of total experience 5 7 yrs Data Product Management agile full product lifecycles discovery delivery
• You have strong experience in the FMCG Retail Data Analytics Domain
• You have 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
• You have 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
• You have 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 Owner s vision of the product
• You have strong ability to connect and federate distinct stakeholders in a complex organization managing stakeholders from Global Local Business and IT colleagues
• You are experienced implementing modern data strategies and solutions using cloud technologies Azure AWS Google Informatica Cloud Databricks Power BI or similar tools
• You have capability to express complex data concepts into lay language for stakeholder management

Preferred Skills:

Foundational->Development Methodology->Infosys Global Agile methodology->Product owner