Senior Associate - Data Governance Engineer

New York Life Insurance CoNew York, NY
$124,000 - $177,000Hybrid

About The Position

The Data Governance Engineer (Unstructured Data) plays a key role in advancing New York Life’s data governance initiatives. This individual contributor role focuses on the operational design and execution of metadata cataloging, lineage harvesting, governance workflows, data quality management, with a focus on Unstructured Data, leveraging technical platforms such as Atlan, Anomalo and Unity Catalog. Working closely with data governance analysts, product managers, and technology teams, the data governance engineer enhances data discoverability, quality, and compliance across the enterprise; supporting New York Life’s Data Strategy and enabling timely, data-driven decisions built on trusted information.

Requirements

  • 3–5+ years of professional experience, including 1-2+ years in a data governance function.
  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • Strong understanding of unstructured data, data governance frameworks, metadata management, data quality management and data cataloging/lineage concepts.
  • Excellent communication and collaboration skills and experience working across business and technical teams.
  • Strong proficiency with SQL, Python and data modeling/analysis concepts.

Responsibilities

  • Develop and maintain automated data quality checks, validation rules and monitoring across multiple systems and datasets
  • Support governance efforts related to metadata, tags, data definitions, and data standardization to improve consistency, traceability, and usability
  • Configure, test, and maintain Atlan & Anomalo platform functionality, including building custom connectors and BAU platform operations.
  • Work across both structured and unstructured data to support governance, profiling, assessment, and quality improvement efforts
  • Build hands-on solutions, prototypes, dashboards, or lightweight applications using Python, SQL, Streamlit, Databricks, and related tools
  • Collaborate with stakeholders to define data governance requirements for critical data elements and support remediation prioritization
  • Create clear documentation and reporting to communicate findings, standards, and recommendations
  • Drive adoption of governance tools through road-shows, training sessions, user enablement, and data owner/steward playbooks.
  • Participate in Agile ceremonies by contributing to backlog building and sprint events in Jira.

Benefits

  • leave programs
  • adoption assistance
  • student loan repayment programs
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