Senior Data Steward

Wise Skulls LLC; United States; Hybrid; USD 110,000 - 170,000; Full time

Job summary

Wise Skulls LLC in Manhattan, NY seeks a Senior Data Steward to lead enterprise data governance, quality, and metadata programs. You will define ownership, standards, and controls, partnering with Business, Product, Engineering, Privacy, Cybersecurity, and Risk teams to ensure trusted data for reporting and AI initiatives.

The role emphasizes data contracts, CDEs, privacy, and robust lineage across AWS and Databricks platforms, with remote consideration for the right candidate.

Qualifications

• 7+ years in data governance, stewardship, quality or management.
• Experience maturing enterprise data governance capabilities.
• Know-how on data ownership, CDEs, glossaries and dictionaries.
• Define data contracts, SLAs and producer–consumer accountability.
• Metadata management, data lineage, privacy, access governance.
• Classify PII and implement data protection controls.
• SQL, data profiling and root-cause analysis.
• Experience with enterprise data catalog/governance tools such as Databricks Unity Catalog, Collibra, Alation or Informatica.
• Exposure to AWS and modern cloud data platforms.
• Strong stakeholder facilitation across multiple teams.

Responsibilities

• Establish governance standards and data ownership across domains.
• Define quality controls and end-to-end data lineage.
• Collaborate with Business, Product, Engineering, Privacy, Cybersecurity, and Risk teams.
• Support cloud modernization and governed analytics or AI initiatives.
• Embed scalable governance controls across AWS and Databricks environments.

Skills

Data governance

Data stewardship

Data quality

Metadata management

Data ownership

CDEs & dictionaries

SQL

Databricks Unity Catalog

AWS/cloud platforms

Stakeholder management

Tools

Databricks Unity Catalog

Collibra

Alation

Informatica

AWS

Job description

Hiring: Senior Data Steward | Manhattan, NY | Remote Considered

We're looking for an experienced Senior Data Steward with strong expertise in enterprise data governance, data quality, metadata management, and modern cloud data platforms. The ideal candidate will establish governance standards, define data ownership and quality controls, and collaborate with business and technical teams to ensure trusted data for reporting, analytics, and AI initiatives.

Location: Manhattan, New York (Open to Remote)

Experience: 6–12 Years

Work Authorization: USC & GC Candidates Only

Key Skills:

• 7+ years of experience in data governance, data stewardship, data quality, or data management
• Experience building or maturing enterprise-wide data governance capabilities
• Strong knowledge of data ownership, critical data elements (CDEs), business definitions, glossaries, and data dictionaries
• Experience defining data contracts, quality standards, SLAs, schema-change controls, and producer-consumer accountability
• Expertise in metadata management, data lineage, data classification, privacy, and access governance
• Experience classifying PII and sensitive data and implementing data protection controls
• Working knowledge of SQL, data profiling, and root-cause analysis
• Experience with enterprise data catalog/governance platforms such as Databricks Unity Catalog, Collibra, Alation, or Informatica
• Exposure to AWS and modern cloud data platforms
• Strong stakeholder management and facilitation skills across Business, Product, Engineering, Privacy, Cybersecurity, and Risk teams

Good to Have:

• Hands-on experience with Databricks, Unity Catalog, Delta Lake, and AWS
• Media and streaming domain experience, including content, audience, advertising, subscriptions, customer identity, or digital engagement
• Experience supporting cloud modernization and governed analytics or AI initiatives

Interview Process:

• 3 rounds

What We're Looking For:

A strong Data Governance professional who can establish enterprise-wide stewardship practices, drive data ownership and quality standards, maintain end-to-end lineage, and embed scalable governance controls across AWS and Databricks environments.