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The Data Expert will play a key role in enabling a strong, data‑driven culture across Americas with a special focus on North America. This role acts as a trusted technical partner for Business teams and Technology teams, combining deep data expertise with strong communication and relationship-building skills. The Data Expert is expected to translate business needs into scalable, governed data solutions, while also influencing and guiding stakeholders on best data practices. This position is ideal for someone who enjoys working close to the technology stack, is passionate about data foundations, and naturally builds strong, approachable relationships across diverse, global teams.
Job Responsibility:
Act as the primary technical point of contact for Business stakeholders and the xOPS CD Data Foundation, providing expert guidance on data solutions and architecture
Partner closely with Business teams to understand their analytical needs, translating them into robust, scalable data models and pipelines
Drive the adoption of Unilever’s data strategy, governance standards, and platform capabilities across North America
Design, develop, and evolve data models within the Market Data Lake, ensuring quality, reusability, and alignment with enterprise standards
Lead and actively contribute to Data Ingestion, Data Catalog, and Data Governance activities for the region
Collaborate with regional and global technical teams to define and continuously improve the operating model, ways of working, and technical standards
Build and maintain strong, trust-based relationships with key stakeholders across Business, Data, and Technology, acting as an approachable and reliable partner
Proactively identify opportunities to improve data quality, usability, and analytics enablement, influencing stakeholders through data-driven insights
Requirements:
Bachelor’s degree in computer science, Information Systems, Actuarial Science, or related fields
Experience in Data & Analytics roles (e.g., Data Analyst, Data Engineer, Data Scientist, or similar)
Experience working on enterprise‑scale data platforms and analytics solutions
Strong knowledge of Azure data technologies, including: Azure Data Factory, Azure Databricks, Data Lake, Azure Logic Apps, SQL Server, Power BI
Solid understanding of Data Quality and Data Governance principles
Programming experience in Python and Scala (desirable)
Advanced English proficiency (mandatory)
Nice to have:
Experience leading data initiatives or supporting global or regional data products
Strong stakeholder management and influencing skills
Knowledge of Unilever’s Medallion Architecture
Experience working in global, matrixed organizations