Associate, Data Lake Governance

Are you ready to make a significant impact in the world of data goverce? As a Senior Associate, Data Lake Goverce within the CAO Chief Data Office, you ll play a pivotal role in designing, implementing, and monitoring goverce frameworks for our Data Lake.

Job Summary

As a Senior Associate, Data Lake Goverce, you will play a key role in designing, implementing, and monitoring goverce frameworks and processes for the CAO Data Lake. You will collaborate with cross-functional teams to ensure alignment with internal and regulatory requirements, and help build a new function from the ground up in a complex and evolving environment. This is an excellent opportunity to own the creation and implementation of a large-scale, complex goverce program with significant cross-functional and leadership visibility.

Job responsibilities

• Design and document operating models and goverce frameworks for data, datasets, and data assets within the CAO Data Lake, including goverce tollgates.
• Engage with stakeholders from Data Strategy, Data Goverce, Data Management, Product, Technology, and Information Architecture to review, validate, and refine goverce frameworks.
• Lead and facilitate meetings and working groups to drive consensus and adoption of goverce frameworks and practices.
• Implement goverce processes and monitor compliance, supporting remediation activities as needed.
• Align goverce requirements across internal and external (regulatory) standards.
• Provide input on the selection and implementation of tools that support data lake goverce activities.
• Distinguish between required and recommended goverce practices, ensuring clarity and prioritization.
• Adapt to ambiguity and complexity, building new processes and solutions in a rapidly evolving space.

Required qualifications, capabilities and skills

• 5+ years of experience in Data Goverce, Data Management, or Data Strategy, within the ficial sector.
• Experience in building and developing goverce operating models/frameworks for data lakes or other large-scale data repositories.
• Understanding of data architecture principles.
• Experience with Agile and SDLC processes and associated tools/methodologies (Confluence, Jira, Kanban).
• Experience with AWS or other cloud-based platforms.
• Proven ability to develop strong partnerships and collaborations across cross-functional teams.
• Experience in defining and implementing multi-faceted projects or programs.
• Strong analytical, problem-solving, and strategic thinking skills.
• Comfortable with ambiguity, complexity, and continuously changing priorities.
• Intermediate to advanced knowledge of Microsoft desktop productivity tools (Excel, PowerPoint, Visio, Word, SharePoint, Teams).

Preferred qualifications, capabilities and skills

• Experience with industry standard data management tools (Atlan, Collibra, Informatica, etc. ).
• Experience with business intelligence/reporting tools (QlikView, Tableau, PowerBI).