Leading the organizational data & AI domain and turning data into a core organizational capability supporting decision-making, operational processes, analytics, and innovation.
The role includes responsibility for establishing and leading the central organizational data capability, formulating the data & AI strategy, building the organizational data platform, implementing data governance and standards, prioritizing and leading cross-functional initiatives, and operating a data Mesh model that combines a central platform team with data teams in business domains.
The manager will hold overall responsibility for the central platform layer and will work in close collaboration with executive management, business unit leads, domain teams, IT, information security, and vendors
Requirements: At least 5 years of experience in a managerial or significant leadership role within the data domain.
Significant experience as a data Engineer, data Architect, or data Lead.
Hands-on experience in designing and building complex data solutions.
Experience in establishing or leading data Lake / Lakehouse implementations in a cloud environment.
In-depth knowledge of at least one leading data platform, such as Databricks, Snowflake, Google Cloud Platform, or equivalent platforms.
Experience with data Pipelines, ETL /ELT, SQL, data Modeling, and system integration.
Deep understanding of modern data architectures, including Bronze / Silver / Gold layers and data Products.
Experience in data Governance, data Quality, Metadata, Catalog, and Lineage.
Ability to understand business processes and translate them into data requirements and technology.
This position is open to all candidates.