Data Management Analyst
About The Position
The Data Management Analyst will help put Keurig Dr Pepper’s enterprise data strategy into practice and shape its trusted, connected, AI-ready data foundation. Working across technologies including Databricks and Unity Catalog, Snowflake and Horizon, and the Data Uncapped Marketplace powered by Alation, the analyst will help govern, explain, measure, and enable reuse of enterprise data. The role applies and improves standards and scalable patterns that make high-quality data discoverable and ready for analytics, copilots, and AI agents. The position offers hands-on exposure across the data lifecycle, including profiling data, investigating anomalies, defining data quality rules, tracing lineage, building trusted metadata, and helping teams turn raw information into governed data products. The analyst will contribute to the practices, tools, and standards shaping KDP’s evolving enterprise data strategy, and will collaborate with technical and business stakeholders to improve data quality, governance, and consistency.
Requirements
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Business, or equivalent experience.
- Prior experience in data management, data governance, data quality, master data, or data analysis.
- Hands-on data quality experience, including profiling, rule writing, monitoring, and root-cause analysis.
- Working knowledge of metadata management, business glossaries, data dictionaries, and data lineage.
- Strong SQL skills and comfort working with large, complex datasets.
- Understanding of how data and metadata ground AI, including RAG, semantic layers, and agent context.
- Curious, investigative mindset and ability to work across business and technology teams to identify and resolve underlying data problems.
- Excellent attention to detail, documentation discipline, and organization, with the ability to manage multiple priorities and stakeholders.
Nice To Haves
- Master’s degree in Information Systems, Computer Science, Data Analytics, Business, or a related area.
- Experience with Alation, Collibra, Informatica, or Purview.
- Experience with Databricks (Unity Catalog), Snowflake (Horizon), and medallion/lakehouse design.
- Python skills for profiling and automating governance tasks.
- Familiarity with DAMA-DMBOK; CDMP certification is a plus.
- Master data or SAP experience, and exposure to SOX or GDPR/CCPA.
- Experience curating RAG sources, metric definitions, or context for AI agents.
- Agile delivery experience (Scrum/SAFe, Jira) and experience in CPG, manufacturing, or supply chain.
Responsibilities
- Apply and improve enterprise standards for naming, classification, documentation, and Bronze/Silver/Gold data quality tiers.
- Use Databricks, Unity Catalog, Snowflake Horizon, and Alation to connect business meaning, technical metadata, lineage, quality, and governance across the data ecosystem.
- Explore and profile enterprise datasets, write and version data quality rules, publish scorecards, and follow issues through root-cause analysis and resolution.
- Help create trusted, reusable data products by making definitions, ownership, lineage, quality expectations, and business context clear and discoverable.
- Curate governed context for AI agents, copilots, and natural-language analytics, including certified definitions, metrics, approved knowledge sources, and provenance.
- Analyze data across systems, including SAP, to find duplicates, conflicting definitions, and opportunities to strengthen master data and enterprise consistency.
- Classify and protect sensitive data, including PII, confidential, and SOX-relevant information, while maintaining audit-ready evidence.
- Complete governance activities for new data sources and products, including Technical Impact Assessment and Stage Gate materials.
- Collaborate with data engineers, architects, product teams, business owners, and a federated steward network to solve data problems and influence enterprise data management.
- Measure the health of KDP’s data foundation through metadata completeness, glossary coverage, quality scores, stewardship, and policy compliance.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Disability benefits
- Paid time off, including paid parental leave, vacation, and sick time
- 401(k) with company match
- Tuition reimbursement
- Mileage reimbursement
- Annual performance-based bonus, subject to eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
