Assistant Vice President - Data Steward

EXL•New York, NY
•$140,000 - $200,000

About The Position

The Assistant Vice President - Data Steward will bridge business and technology teams to ensure data is accurate, consistent, secure, and aligned with enterprise data governance standards. The role focuses on data governance, data quality, metadata management, and regulatory compliance, and requires stakeholder management, data management expertise, and experience implementing governance frameworks across large organizations. The position includes defining and enforcing enterprise governance policies, overseeing stewardship and data quality processes, maintaining metadata and data catalogs, supporting compliance and risk management, collaborating with business and technical teams, and reporting governance insights to leadership. The posting also includes a separate responsibilities and qualifications section referring to overseeing product development and leading high-impact initiatives, with qualifications in product development or engineering.

Requirements

  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or a related field.
  • 10+ years of experience in Data Governance, Data Management, Master Data Management (MDM), or Data Stewardship.
  • Strong understanding of data governance frameworks such as DAMA-DMBOK.
  • Experience with metadata management, data lineage, and data quality processes.
  • Excellent business stakeholder management and communication skills.
  • Strong analytical and problem-solving abilities.
  • Experience with data governance tools such as Collibra, Alation, Informatica Axon, or Microsoft Purview.
  • Experience with data quality tools such as Informatica DQ, Ataccama, Talend DQ, or IBM InfoSphere.
  • Knowledge of metadata management and data catalog platforms, SQL and data analysis, data warehousing concepts, MDM, data lineage and classification, and Power BI or Tableau for governance reporting.
  • The additional qualifications section lists a Bachelor's or Master's degree in Computer Science, Engineering, Product Design, or a related field, and 8–12 years of experience in product development or engineering.

Nice To Haves

  • CDMP (Certified Data Management Professional) Certification.
  • Experience with Azure, AWS, or Google Cloud data platforms.
  • Experience in Financial Services, Healthcare, Insurance, or Retail domains.
  • Knowledge of Data Mesh and modern data governance concepts.
  • Exposure to AI/ML governance frameworks.
  • Microsoft Purview implementation experience.
  • Data Fabric or Data Mesh exposure.
  • Knowledge of Snowflake, Databricks, Fabric, or Azure Data Lake.
  • Experience leading enterprise-wide governance initiatives.

Responsibilities

  • Define, implement, and enforce enterprise data governance policies, standards, and procedures.
  • Act as the owner and custodian of critical business data domains.
  • Establish data stewardship processes and operating models across business functions.
  • Collaborate with Data Owners, Data Custodians, and business stakeholders to improve data management practices.
  • Monitor, measure, and improve data quality using predefined KPIs and metrics.
  • Identify data quality issues, perform root cause analysis, and drive remediation efforts.
  • Define data quality rules, controls, and validation mechanisms.
  • Implement continuous monitoring processes for critical data assets.
  • Maintain business glossaries, data dictionaries, and metadata repositories.
  • Ensure proper classification, lineage, and documentation of enterprise data assets.
  • Promote adoption of data catalog platforms across business teams.
  • Support compliance initiatives related to GDPR, CCPA, HIPAA, SOX, and other regulatory requirements.
  • Ensure data privacy, security, and retention policies are followed.
  • Conduct regular audits and assessments of data governance processes.
  • Partner with business users, data architects, data engineers, analytics teams, and leadership.
  • Facilitate governance councils and working groups.
  • Drive awareness and training programs related to data governance and stewardship.
  • Develop governance dashboards and reports for executive stakeholders.
  • Track governance maturity, data quality scores, and stewardship effectiveness.
  • Present governance insights and recommendations to leadership teams.
  • Oversee organizational product development.
  • Lead high-impact initiatives.
  • Ensure alignment with organizational goals.
  • Provide executive guidance.
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