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# Data Management Lead

- **Company:** Madison-Davis, LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Extract Transform Load (ETL), Database Queries, IBM Cognos Business Intelligence, Python (Programming Language), Metadata, Meta-Data Management, Power BI, Cloud Services, Enterprise Data Management, Data Lineage, Qlikview, Data Management, Databricks
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/2_162640474

## About the Role

* At least 10 years of experience in data management, governance, strategy, or transformation
 * At least five years of data leadership experience
 * Proven experience within commercial P&C, specialty insurance, or a closely related insurance environment
 * Demonstrated success building or maturing enterprise data-governance programs
 * Deep experience with Master Data Management
 * Strong knowledge of data stewardship, metadata management, and data lineage
 * Experience establishing data-quality frameworks and measurable controls
 * Experience defining data ownership, domains, policies, and standards
 * Demonstrated ability to implement data-as-a-product xrbllit practices
 * Strong understanding of cloud data platforms such as Azure, AWS, or Databricks
 * Enterprise data-warehouse and ETL/ELT knowledge
 * SQL proficiency
 * Experience with BI platforms such as Power BI, Cognos, or Qlik
 * Executive-level communication and stakeholder-management capabilities
 * Ability to lead transformation across business and technology organizations
 * Ability to work within the required New York/New Jersey hybrid model

Nice to Have:

 * Experience building enterprise data councils
 * Metadata or MDM platform implementation
 * AI and automation within data or analytics workflows
 * Agile Product Owner experience or certification
 * Python or R
 * Multi-domain governance experience
 * Data-product management experience
 * Experience establishing a governance operating model from inception

## Description

* Define and execute the enterprise data-management and governance strategy
 * Build and operationalize scalable governance frameworks
 * Establish data domains, ownership models, stewardship responsibilities, policies, and standards
 * Develop enterprise data councils and cross-functional governance forums
 * Lead Master Data Management strategy and implementation
 * Establish data-quality frameworks, controls, metrics, and improvement processes
 * Modernize enterprise metadata-management and data-lineage capabilities
 * Partner with business and technology leaders to identify critical data needs
 * Translate business requirements into trusted, reusable data products
 * Establish and mature data-as-a-product practices
 * Improve how enterprise data is documented, discovered, accessed, governed, and used
 * Partner with architecture, engineering, analytics, and business teams
 * Guide modernization across cloud data platforms and enterprise warehouses
 * Define measurable outcomes for governance, quality, stewardship, and transformation
 * Lead organizational adoption and cross-functional change
 * Present strategy, progress, risks, and recommendations to executive stakeholders