Senior Data Lead; Remote

Senior Data Lead (Remote) – Compass Group USA

Salary: $130,000 - $150,000

Job Summary: At Compass Data & AI (CDAI) we transform how master data fuels enterprise insight and operational excellence in one of the largest food service organizations. You will join a growing Master Data Management (MDM) and Item/Product Data team that values curiosity, precision, and collaboration, shaping the data foundation for our digital ecosystem. Your role will enable consistent, high‑quality product, manufacturer, and distributor data that supports critical business processes across purchasing, operations, and digital experiences.

You will act as a bridge between data engineering, architecture, product management, and business stakeholders, ensuring data is modeled, governed, and trusted across the ecosystem.

• 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 Management (MDM) systems or governance frameworks.
• Experience with MDM platforms (e.g., Informatica MDM/360, Reltio, Tibco EBX, Semarchy) or building bespoke mastering on cloud data platforms.
• Familiarity with catalog/lineage tools (e.g., Collibra, Alation, Open Lineage) and capturing stewardship…