Life tastes better with ice cream
With 19.000 expert ice cream colleagues and iconic brands like Wall's, Cornetto and Ben & Jerry's, loved in 76 countries, we are the world's largest Ice Cream company leading the industry.
We create iconic ice cream brands that are part of everyday life, bringing moments of joy to millions of people around the world. Everybody loves ice cream. And as the world's biggest pure-play ice cream company, we have the scale and ambition to make a real difference.
What truly sets us apart is how we work.
We move fast and keep things simple. We turn ideas into action, trust people to take ownership, and work as one team to win together with integrity. Our culture is high-performance, collaborative and focused on getting things done.
We're curious and ready for what's next. We embrace digital, use data to make better decisions, and keep learning, including how AI can help us work smarter and serve consumers better.
The role
This role is a fixed-term position . As part of our ambitious growth strategy, we are seeking a skilled Data Lead for METSA market to play a key role in our transformation journey. This position is central to our OPUS IT Landscape, including SAP S/4HANA implementation and the overall carve-out from Unilever, where we are harmonizing business processes and data on a global scale. In this critical role, you will collaborate closely with global and local cross-functional teams to lead data migration activities and deployment of master data management and governance, ensuring a seamless transition to the new systems and ways of working. Your expertise will help guarantee data accuracy, consistency, integrity, and alignment with business objectives, laying the foundation for operational excellence in our future state.
What you'll be responsible for
- Act as the market single point of contact for all data-related (in this document data-related is used as a term to only encompass Data Migration and MDM) deployment activities.
- Own the market-specific Data Object Scope, ensuring clarity and accountability throughout the migration process - making sure the local data owners have been assigned per object.
- Coordinate cross-functional teams (business, IT, external vendors) to execute end-to-end data migration activities, including scope definition, transformation, enrichment, and cleansing. Accountable for full documentation of local specifics for data transformation.
- Lead the local data cleansing and enrichment effort - coordinating with relevant local functional SMEs to review and correct records for migration specifications.
- Identify and resolve data quality issues, such as duplicates, incomplete records, or incorrect mappings, escalating issues to global / wave data teams.
- Lead the mapping of local master data to the global data model, ensuring alignment with process design decisions.
- Ensure local MDM process-relevant roles have been allocated and trained prior to go-live.
- Participate in mock loads, migration testing, and cutover rehearsals - making sure data is validated and signed off by the respective local data owners.
- Analyze defects identified during testing and cutover phases, translating them into actionable improvements (e.g., updated transformation rules, selection criteria, enrichment steps).
- Provide on-site hypercare support for data-related incidents.
- Proactively identify and mitigate risks related to data.
- Provide regular reporting and status updates to stakeholders, fostering transparency and collaboration across all phases of the project.
We’re looking for someone who
Experience & Expertise
- Deep understanding of in-market master data structures, usage, and ownership across functions.
- Proven experience in data cleansing and data migration activities, ideally in the context of SAP S/4HANA implementations (ECC to S/4), preferably within the CPG industry.
- Solid understanding of master data structures and processes.
Technical Skills
- Familiarity with data profiling, data quality techniques, and ETL tools such as SAP Data Services.
- Practical experience with Python for data-related tasks.
- Knowledge of data cataloging, cleansing, migration tools, and metadata management principles.
- Deep understanding of in-market master data structures, usage, and ownership across functions.
- Familiarity with current local data governance processes and systems. Knowledge of regulatory, data privacy and compliance requirements relevant to the market.
- Proficiency in Microsoft Office Suite (Excel, PowerPoint, Teams, SharePoint) to support communication, collaboration, and documentation throughout the project lifecycle.
Soft Skills & Mindset
- Excellent communication and interpersonal skills, with the ability to influence and engage diverse stakeholders across business and technical functions.
- Strong analytical and problem-solving abilities, detail-oriented, and capable of translating business requirements into practical data solutions.
- Proven ability to drive change and innovat