Data Governance & Analytics Lead

M&T Bank; Baltimore (MD); Hybrid; USD 113,000 - 189,000; Full time

Job summary

M&T Bank is seeking a Senior Data Analyst to govern and enable enterprise data assets across the organization. You will document data lineage, quality, metadata, and ownership while ensuring alignment with enterprise standards.

The role requires collaboration with architects and technology teams to improve data movement and governance. Responsibilities include translating business needs into data requirements, building data dictionaries, and supporting regulatory and risk data initiatives.

Qualifications

• Minimum five years of experience in data analysis, governance, or related fields.
• Experience documenting business, functional, and data requirements.
• Strong knowledge of data management principles and lifecycle.
• Ability to communicate effectively with both business and technology teams.
• Experience with data quality assessment and metadata management.

Responsibilities

• Identify, inventory, and document where enterprise data is stored.
• Analyze data sources and determine system of record for critical information.
• Develop data inventories, catalogs, and data dictionaries.
• Assess data quality across functions, focusing on completeness and consistency.
• Collaborate with architects to improve data movement and integration.
• Translate business needs into clear data requirements and testable specs.
• Act as liaison between business stakeholders and technology teams.
• Promote data governance and data literacy across the organization.

Skills

SQL

Data governance

Data analysis

Business analysis

Data quality

Communication

Problem-solving

Education

Bachelor’s degree

Tools

Appian

Microsoft SQL Server

Oracle

PostgreSQL

MySQL

IBM Db2

APIs

Cloud data platforms

Job description

M&T Bank is seeking a Senior Data Analyst to govern and enable enterprise data assets across the organization. You will document data lineage, quality, metadata, and ownership while ensuring alignment with enterprise standards.

The role requires collaboration with architects and technology teams to improve data movement and governance. Responsibilities include translating business needs into data requirements, building data dictionaries, and supporting regulatory and risk data initiatives.