Why this role stands out
Elevate your career by shaping enterprise-wide data governance within a cutting-edge AWS and Databricks ecosystem, where your expertise will directly drive high-impact AI and analytical outcomes. This hybrid role is perfect for a strategic data professional who thrives on building scalable frameworks and collaborating across cross-functional teams. Apply today to secure this pivotal position and take the next step in your professional journey.
Quick overview
Job description
Location: Manhattan, New York
Interview Process: 2 Rounds with EXL + 1 with the client
- We are looking for a Senior Data Steward to help build practical, enterprise-wide data governance
- across business domains and a modern AWS/Databricks ecosystem.
- You will partner with business Data Owners, Product, Privacy, and Engineering teams to translate
- business needs into clear ownership, trusted definitions, data contracts, quality standards, and scalable
- controls—ensuring critical data is trustworthy and fit for reporting, analytics, and AI.
- Partner with business Data Owners and subject-matter experts to establish data ownership,
- critical data elements, business definitions, glossaries, data dictionaries, and metadata.
- Define data contracts and quality expectations, including SLAs, schema-change controls, and
- producer-consumer accountability.
- Classify PII and sensitive data and translate privacy, access, retention, and permitted-use
- requirements into practical controls.
- Maintain end-to-end business and technical lineage across source systems, pipelines, and
- analytical data products.
- Lead governance discussions, prioritize issues based on business impact, and coordinate
- remediation of material data-quality concerns.
- Embed consistent governance standards, measurable controls, and stewardship practices into
- AWS and Databricks modernization initiatives.
- 7+ yrs of experience in data governance, data stewardship, data quality, or data management.
- Experience building or maturing governance capabilities, not just operating established
- processes.
- Strong knowledge of metadata, lineage, data classification, privacy, access governance, data
- quality, and data contracts.
- Working knowledge of SQL, data profiling, root-cause analysis, and modern cloud platforms.
- Experience with an enterprise data catalog or governance platform such as Databricks Unity
- Catalog, Collibra, Alation, or Informatica.
- Strong facilitation and stakeholder-management skills across business, Product, Engineering,
- Privacy, Cybersecurity, Risk, and executive teams.
- Hands-on exposure to Databricks, Unity Catalog, Delta Lake, and AWS.
- Experience with media and streaming domains such as content, audience, advertising,
- subscriptions, customer identity, or digital engagement.
- Experience supporting large-scale cloud modernization and governed analytics or AI use cases.
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