Data Management Senior
M&T Bank
- Buffalo, NY
- $97,870-163,116 per year
- Permanent
- Full-time
- Lead the team’s accomplishment of data management tasks and develop data management policy and procedures
- Coordinate research into industry standards and pertinent government regulations to develop data management policies and procedures
- Facilitate assessment conversations between key stakeholders to understand the impact of data quality issues
- Maintain data issue register(s), draft issue remediation plans and monitor progress towards meeting remediation plans
- Work with data stakeholders to understand data quality issues and coordinate with necessary parties to drive towards resolution.
- Monitor assigned data teams for violations of data quality policies and procedures, document violations and coordinate remediation
- Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management.
- Promote an environment that supports diversity and reflects the M&T Bank brand.
- Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
- Complete other related duties as assigned.
- Bachelor’s degree and a minimum of 5 years related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/ or work experience, including a minimum of 5 years related experience
- Experience analyzing data and draw valid conclusions
- Intermediate knowledge of data management concepts, terminology, roles, and responsibilities
- Experience completing data research using industry standard research methods
- Experience developing and/or implementing data management and/or data governance policy and standards with limited oversight
- Experience with data management and query languages in big data environment or cloud environment
- Intermediate familiarity with the data life cycle
- Experience in financial industry