Senior Data Lead; Remote

Salary

$130,000 - $150,000

We are CDAI—the data and artificial intelligence engine of Compass Group North America. Our work is grounded in strong data foundations, layered with AI to enhance forecasting, streamline operations, and enable better, faster decision-making across Compass Group. At Compass Data & AI (CDAI), we’re transforming how master data fuels enterprise insight and operational excellence across one of the largest food service organizations in the world.

You’ll join a growing Master Data Management (MDM) and Item/Product Data team that values curiosity, precision, and collaboration with the opportunity to help shape the data foundation for our digital ecosystem. As part of CDAI, you will play a pivotal role in enabling consistent, high‑quality product, manufacturer, and distributor data that supports critical business processes across purchasing, operations and digital experiences.

This role sits at the heart of our enterprise data strategy, helping to transform how product and supplier data is captured, governed, and leveraged across the organization.

• Develop a deep understanding of multiple source systems and how their data supports master data and business processes.
• Serve as a subject matter expert and data champion within the product domain, guiding others in navigating and interpreting source and master data effectively.
• Profile, assess, and explore datasets to identify data quality issues, anomalies, and inconsistencies across systems.
• Partner with business stakeholders to translate data needs into clear, actionable data definitions, mappings, and requirements.
• Support and enforce data governance, standards, and normalization practices that improve consistency and trust in enterprise data assets.
• Collaborate with data modelers and database designers to maintain logical and physical data models aligned to master data principles.
• Define and document entities, attributes, relationships, and lineage, with primary responsibility for the logical mapping from sources to master targets.
• Distinguish between master, reference, and transactional data, ensuring each is properly structured and maintained.
• Validate and test master data outcomes to confirm compliance with business and quality rules.
• Conduct root cause analysis on data issues and work with IT and business teams to drive resolution.
• Partner with data engineers to ensure integrations, transformations, and pipelines align with defined data rules and standards.
• Define survivorship rules and golden‑record logic for product/manufacturer/distributor entities; design and tune match/merge and deduplication strategies (deterministic + fuzzy).
• Lead source‑to‑master mapping design reviews and sign‑off; maintain the canonical mapping/specs as the contract between source teams and MDM.
• Influence the MDM roadmap with requirements for new attributes, taxonomies, and mastering rules based on downstream consumer needs.

• 7–10 years of experience as a Data Analyst or in a similar analytical/data stewardship capacity.
• Expert‑level SQL skills for querying, profiling, and validating data across large, complex datasets.
• Proven ability to explore, assess, and reconcile data across multiple platforms, identifying root causes of quality issues.
• Strong understanding of data modeling, normalization, and entity‑relationship design.
• Experience defining and managing master vs. reference vs. transactional data boundaries.
• Demonstrated ability to translate business requirements into precise technical data definitions and mappings.
• Excellent documentation and communication skills; able to convey complex data concepts clearly to both technical and non‑technical audiences.
• Demonstrated experience designing and tuning match/merge logic (exact, probabilistic, and fuzzy matching) and documenting survivorship rules.
• Proven ability to author precise source‑to‑target specs (entities, attributes, lineage) and hold cross‑team design reviews to sign off.

• Background in food service, purchasing, processing, or retail, particularly around product, manufacturer, and distributor data.
• Hands‑on experience with Master Data…