Hybrid Data Quality Lead, Customer 360 Analytics

M&T Bank; Buffalo (NY); Ibrido; USD 86.000 - 143.000; Tempo pieno

Descrizione del lavoro

M&T Bank seeks a data quality professional to lead enterprise data quality efforts for the Customer 360 ecosystem, ensuring accuracy, completeness, and reliability of customer data used across analytics, marketing, and regulatory reporting. The role collaborates with governance, data engineering, and business teams to identify and resolve quality issues.

You will monitor, test, and validate data quality across Amperity, Snowflake, and downstream systems, build dashboards and alerts, and pursue

Competenze

• Bachelor’s degree and at least 3 years related experience.
• Experience with one or more database technologies.
• Expert in SQL—Advanced SQL.
• Experience in data governance and data quality programs.
• Experience with large-scale data platforms and data warehouses.
• Strong written and verbal communication; ability to translate technical findings.
• Experience creating dashboards and data quality metrics.

Mansioni

• Lead enterprise data quality monitoring and improvements for Customer 360.
• Serve as SME for customer data domains and processes.
• Develop understanding of identity resolution and golden records.
• Define data elements, quality rules, thresholds, and controls with governance.
• Monitor data quality metrics and identify trends and risks.
• Design monitoring rules and data quality controls aligned to standards.
• Develop dashboards and executive reporting on data quality health.

Conoscenze

SQL

Data analysis

Data quality

Stakeholder comms

Issue resolution

Dashboarding

Cross-functional

Formazione

Bachelor’s degree

Strumenti

Snowflake

Monte Carlo

Amperity

Descrizione del lavoro

M&T Bank seeks a data quality professional to lead enterprise data quality efforts for the Customer 360 ecosystem, ensuring accuracy, completeness, and reliability of customer data used across analytics, marketing, and regulatory reporting. The role collaborates with governance, data engineering, and business teams to identify and resolve quality issues.

You will monitor, test, and validate data quality across Amperity, Snowflake, and downstream systems, build dashboards and alerts, and pursue