Senior Analyst - Data & AI Governance

Senior Analyst - Data & AI Governance The Big Picture Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 55th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry. Sysco operates 333 distribution centers across 10 countries, with 75,000 colleagues serving approximately 670,000 customer locations, including restaurants, healthcare and educational facilities, lodging establishments, entertainment venues and more. For fiscal year 2026, which ended June 27, 2026, the company generated sales of more than $84 billion. Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations. Sysco LABS’ enterprise technology is present in the end-to-end foodservice journey, enabling the sourcing of food products, merchandising, storage and warehouse operations, order placement and pricing algorithms, the delivery of food and supplies to Sysco’s global network and the in-restaurant dining experience of the end-customer. For more information visit: www.syscolabs.lk Job Summary Supports the organization's data governance program by executing day-to-day metadata management operations within the enterprise Data Catalog. Works directly with data owners, stewards, and domain stakeholders to ensure data assets are accurately described, classified, and assigned appropriate ownership. Partners with data stewards to define and implement data quality rules that improve the reliability and trustworthiness of critical data assets across the organization.

Execute Metadata Management Operations:  Own and execute the end-to-end process of cataloging data assets in Alation (or comparable tool), including assuring completeness of asset descriptions, assigning data owners and stewards, and classification tags in alignment with established data governance standards and taxonomies. Support Data Quality Rule Development:  Partner with data stewards and domain owners to identify relevant data quality dimensions—completeness, accuracy, consistency, timeliness—and help define, document, and configure corresponding data quality rules within governance tooling. Track rule violations and coordinate with stewards on resolution. Maintain Data Catalog Hygiene:  Conduct ongoing audits of catalog entries to identify gaps, inconsistencies, and stale metadata. Prioritize and remediate issues in coordination with data owners and the Data & Records Management Engineer, who provides automated discovery to complement manual curation efforts. Collaborate Across Governance Operations:  Serve as the operational hub between engineering automation and risk compliance. Surface metadata coverage gaps and data quality trends to the Data & AI Risk Analyst, whose compliance assessments depend on accurate catalog coverage and quality metrics as evidence of control effectiveness. Facilitate Stewardship Activities:  Support data steward communities by preparing materials, tracking stewardship assignments, and ensuring accountability for metadata completeness targets across business domains. Help onboard new stewards by explaining catalog workflows and quality rule processes. Document Standards and Procedures:  Develop and maintain documentation for metadata management workflows, business glossary standards, classification taxonomies, and data quality rule libraries to support consistency, scalability, and onboarding of future team members.

Education Required:  Bachelor's degree from an accredited institution in a relevant field such as Information Systems, Computer Science, Data Management, or Business Analytics.

Required:  Three (3) to five (5) years of experience in data management, data governance, or analytics roles. Demonstrated experience working with enterprise data catalog tools—Alation strongly preferred; Collibra, Atlan, or similar are acceptable.