Data Management Lead

Madison-Davis, LLC; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Madison-Davis, LLC is seeking a Data Management Lead to build and mature an enterprise-wide data governance program. You will partner with executive leadership to establish frameworks, policies, and operating models that enable innovation while ensuring data quality and stewardship.

The role focuses on defining Data-as-a-Product strategies, driving governance across business and technology, and modernizing data platforms to support AI and analytics initiatives with trusted, governed data assets.

Qualifications

• Experience leading enterprise data management, governance, or transformation initiatives.
• Experience building governance frameworks, stewardship programs, and operating models.
• Strong expertise in MDM, metadata management, and data quality.
• Experience with enterprise cloud data platforms (Azure, AWS, Databricks).
• Understanding of SQL, ETL/ELT, and data warehousing concepts.
• Experience with BI/reporting platforms (Power BI, Cognos, Qlik).
• Executive-level communication and stakeholder management skills.
• Experience driving organizational change across business and technology teams.
• Exposure to AI, automation, or modern analytics initiatives.
• Agile delivery or Product Owner experience is a plus.

Responsibilities

• Build and operationalize enterprise data management and governance frameworks.
• Establish data stewardship models, policies, standards, and SOPs.
• Lead Master Data Management initiatives and improve data quality.
• Define Data-as-a-Product strategies to drive business value.
• Partner with leaders to prioritize enterprise data initiatives.
• Develop metadata management, glossary, and data lineage capabilities.
• Establish governance councils and cross-functional operating models.
• Collaborate with analytics, engineering, and architecture teams to modernize data platforms.
• Promote data quality, ownership, and accountability.
• Support AI and analytics initiatives with trusted data assets.

Skills

Data governance

MDM

Data quality

Stakeholder management

Executive communication

Agile delivery

Cloud platforms

BI tools

Tools

Power BI

Cognos

Qlik

Azure

AWS

Databricks

Job description

A leading enterprise organization is seeking a Data Management Lead to build and mature an enterprise-wide data management and governance program. This is an opportunity to establish foundational frameworks, partner directly with executive leadership, and help transform how data is managed, governed, and leveraged across the organization.

This role is ideal for someone who enjoys building programs from the ground up, influencing stakeholders across business and technology, and creating practical governance models that enable innovation rather than simply enforcing compliance.

What You’ll Tackle:

• Build and operationalize enterprise data management and governance frameworks.
• Establish data stewardship models, policies, standards, and operating procedures.
• Lead Master Data Management (MDM) initiatives and improve enterprise data quality.
• Define and implement Data-as-a-Product strategies that drive measurable business value.
• Partner with business and technology leaders to prioritize enterprise data initiatives.
• Develop metadata management, business glossary, and data lineage capabilities.
• Establish governance councils and cross-functional operating models.
• Collaborate with analytics, engineering, and architecture teams to modernize enterprise data platforms.
• Promote data quality, ownership, and accountability across the organization.
• Support enterprise AI and analytics initiatives by ensuring trusted, governed data assets.

What You Bring:

• Extensive experience leading enterprise data management, governance, or transformation initiatives.
• Experience building governance frameworks, stewardship programs, and operating models.
• Strong expertise in Master Data Management (MDM), metadata management, and data quality.
• Experience working with enterprise cloud data platforms (Azure, AWS, Databricks, or similar).
• Understanding of SQL, ETL/ELT processes, and enterprise data warehousing concepts.
• Experience with BI and reporting platforms such as Power BI, Cognos, or Qlik.
• Executive-level communication and stakeholder management skills.
• Experience driving organizational change across business and technology teams.
• Exposure to AI, automation, or modern analytics initiatives.
• Agile delivery or Product Owner experience is a plus.