Data Governance - VP

Corporate Title: Vice President

• As one of the worlds leading asset management firms, data is at the heart of our operations. Were looking for a Data Governance Technology Lead to spearhead the adoption and operation of modern data governance tooling across the entire organization. The role is part of DWSs Data Platform Engineering organization. Data Platform Engineering builds and operates our critical enterprise data ecosystem to ensure high-quality, secure and compliant data flows across the organization.
• This is a highly technical leadership position that combines strategy, hands-on engineering, and team management. You will closely collaborate with the Head of Data Platforms as well as Data Architecture, and the Chief Data Office

Your key responsibilities

• Support the continuous refinement of DWSs data governance vision and help defining the technical roadmap and backlog to bring this vision to reality
• Lead the engineering team responsible for designing, developing and operating DWSs data governance and data observability stack
• Support your team in meeting delivery timelines and adhering to quality standards
• Drive the end-to-end implementation of Collibra, including workflow automation, metadata management, lineage capture and more
• Work closely with the data stewards, data owners, architecture, and CDO teams to ensure a consistent approach to data governance and quality management
• Help defining and monitoring KPIs to ensure enterprise-wide adoption of DG tooling and core data standards

Your skills and experience

• 7+ years of experience with data governance tooling and related concepts such as meta-data management, data lineage, and DQ monitoring
• Strong software engineering background, with experience in Python, Java, or similar programming languages
• Deep understanding of SDLC concepts, automation and efficient tech delivery
• Good understanding of fundamental data architecture concepts
• Hands-on experience with the Collibra Suite (certifications would be a plus)
• Proficiency with modern data platforms such as Snowflake or GCP BigQuery
• Strong leadership experience, including managing technical teams and cross-functional projects