Data Quality Lead (SQL)

Location: Hybrid, four days onsite and one day remote, based out of an M&T corporate location in Buffalo, NY, Baltimore, MD, Wilmington, DE, or Bridgeport, CT, United States.

Salary: $85,800–$143,000 annual USD.

Company

M&T Bank is a banking organization operating large-scale enterprise data platforms and customer data systems.

What you will do

• Lead enterprise data quality initiatives across the Customer 360 ecosystem, ensuring customer data is accurate, complete, consistent, timely, and reliable.
• Define and maintain critical data elements, quality rules, thresholds, controls, metrics, dashboards, scorecards, and executive reporting.
• Monitor data quality using Monte Carlo and other platforms; analyze alerts, anomalies, trends, exceptions, root causes, and business impact.
• Lead testing, validation, reconciliation, and source data certification for enhancements, upgrades, integrations, and process changes.
• Investigate and coordinate resolution of complex data quality issues across business, technology, analytics, engineering, and vendor teams.
• Support Amperity and Snowflake data analysis, identity resolution, data pipelines, transformations, downstream consumption, and AI- and automation-based process improvements.

Requirements

• Bachelor’s degree and at least 3 years of related experience, or, in lieu of a degree, a combined minimum of 7 years of higher education and/or work experience including at least 3 years of related experience.
• Experience with one or more database technologies and large-scale enterprise data platforms and warehouses.
• Expert-level Structured Query Language (SQL) and advanced SQL skills.
• Experience collecting and managing metadata.
• Experience working in data governance and data quality programs at large, complex organizations.
• Experience performing complex data analysis, testing, validation, and troubleshooting, with strong data investigation, root cause analysis, and problem-solving skills.
• Experience creating dashboards, scorecards, reporting, and data quality metrics.
• Excellent written and verbal communication skills, including the ability to translate technical findings into business-friendly recommendations.
• Ability to manage multiple priorities in a fast-paced environment.

Nice to have

• Experience with Amperity, Snowflake, Monte Carlo, or comparable data observability platforms.
• Experience supporting Customer 360, Master Data Management, Customer Data Platforms, or identity resolution solutions.
• Financial services industry experience and experience with enterprise data governance or data stewardship programs.
• Experience developing data quality frameworks, controls, and monitoring solutions.
• Experience supporting marketing, customer communications, personalization, and customer journey initiatives.
• Knowledge of customer identity resolution, householding, customer matching, and golden record methodologies.
• Experience using AI and automation for data analysis, testing, monitoring, or issue management.
• Intellectual curiosity, a passion for improving data, and the ability to influence change across cross-functional business and technology teams.

Culture & Benefits

• Hybrid work arrangement with four onsite days and one remote day per week.
• Collaboration with business stakeholders, technology, data engineering, data governance, marketing, analytics, operations, and vendor teams.
• Opportunity to improve enterprise data reliability, governance, automation, and operational effectiveness.
• Compensation is market-informed and determined by the candidate’s knowledge, skills, and experience within the stated annual range.