THE BIG PICTURE
Sysco LABS is the captive innovation arm of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco is a Fortune 500 company and the global leader in selling, marketing, and distributing food products to restaurants, healthcare, and educational facilities, lodging establishments and other customers who prepare meals away from home. Its family of products also includes equipment and supplies for the foodservice and hospitality industries. With more than 76,000 colleagues, the company operates 334 distribution facilities worldwide and serves approximately 730,000 customer locations. For fiscal year 2024 that ended July 1, 2024, the company generated sales of more than $78.8 billion.
Operating with the agility and tenacity of a tech–startup, powered by the expertise of the industry leader, Sysco LABS is perfectly poised to transform one of the world’s largest industries.
Sysco LABS’s engineering teams based out of Colombo, Sri Lanka and Austin and Houston, TX, innovate across the entire food service journey – from the enterprise grade technology that enables Sysco’s business, to the technology that revolutionizes the way that Sysco connects with restaurants and the technology that shapes the way those restaurants connect with customers.
Sysco LABS technology is present in 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, the in-restaurant dining experience of the end-customer and much more.
THE OPPORTUNITY
We are seeking a highly skilled and experienced Data Management Services Lead to own and drive the delivery of enterprise-wide data management capabilities in support of our Master Data Management (MDM) and central Data & Analytics Hub. This leadership role will be responsible for the strategic and operational oversight of data cleansing, data standardization, data quality, metadata management, reference data management, and data enrichment processes. The right candidate will play a critical role in designing, automating, and maintaining scalable and governed data management services that feed into our enterprise analytics, MDM, and governance platforms.
RESPONSIBILITIES
Data Management Strategy & Execution
Defining and leading the implementation of data management service frameworks aligned with MDM and analytics use cases
Developing automation strategies to streamline data cleansing, standardization, and enrichment before integration into enterprise systems
Data Quality & Governance
Establishing and maintaining data quality monitoring frameworks, scorecards, and remediation workflows
Implementing business rules and AI-driven logic to improve the accuracy, completeness, and consistency of master and transactional data
Partnering with data stewards to enforce governance policies and improve data trustworthiness
Reference & Master Data Management
Designing and managing reference data models, taxonomies, and mapping strategies
Leading the operationalization of MDM services including entity resolution, golden record creation, and stewardship workflows
Metadata & Lineage Management
Overseeing the integration of metadata from diverse sources using tools such as Alation, Collibra, or Informatica
Establishing lineage and impact analysis processes to ensure transparency and traceability across the data lifecycle
Data Enrichment & Integration
Integrating external and third-party data sources to enhance business records and analytics capabilities
Defining and implementing API-based and ETL/ELT pipelines to support real-time and batch data flows
Collaboration & Leadership
Acting as a key liaison between data architects, engineers, stewards, and business stakeholders
Providing thought leadership on best practices in data management, data literacy, and data-as-a-product principles
REQUIREMENTS
A Bachelor’s or Master’s Degree in Computer Science, Information Systems, Data Management, or related field
For Technical Lead level 6+ years of experience and for Senior Technical Lead level 8+ years of experience in data management or data architecture, with at least 3 years in a leadership or senior role
Proven expertise in MDM, data quality, metadata management, and reference data practices
Hands-on experience with modern data management tools (e.g., Informatica, Talend, Alation, Collibra, Profisee)
A strong understanding of cloud platforms and data ecosystems (AWS, Azure, GCP, Snowflake, Databricks)
Excellent problem-solving skills with a strategic mindset and attention to detail
Strong communication and stakeholder management skills across technical and business teams
Experience in implementing data governance frameworks at scale and familiarity with AI/ML for anomaly detection and data quality improvement are preferred
BENEFITS
US dollar-linked compensation
Performance-based annual bonus
Performance rewards and recognition
Agile Benefits - special allowances for Health, Wellness & Academic purposes
Paid birthday leave
Team engagement allowance
Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws
Overseas travel opportunities and exposure to client environments
Hybrid work arrangement
