Data Quality Lead

M&T Bank

. Lead and support enterprise data quality efforts for the Customer 360 ecosystem .

Posted 10/23/2026full-timeUnited StatesSenior💰 $85,800 - $143,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data quality management, including advanced SQL proficiency, data governance, and the ability to analyze and improve data accuracy and reliability across enterprise systems. Capable of leveraging tools like Snowflake and Monte Carlo for monitoring and reporting while effectively communicating technical findings to business stakeholders.

Highest-signal resume keywords

Advanced SQL ExpertiseData Governance ExperienceData Quality ManagementSnowflake ProficiencyMonte Carlo Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ValidationRoot Cause AnalysisData Quality FrameworksMetadata ManagementDashboard CreationTesting and Validation ProceduresData Pipeline ValidationAnomaly DetectionData Quality Metrics

Soft Skills

Excellent Communication SkillsProblem-Solving AbilitiesAbility to Manage Multiple PrioritiesIntellectual CuriosityInfluencing Change

Tools & Technologies

Amperity Customer 360SnowflakeMonte CarloData Quality ControlsAI and Automation Tools

Industry Keywords

Financial ServicesCustomer Data PlatformsMaster Data ManagementIdentity ResolutionData Stewardship

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Lead and support enterprise data quality efforts for the Customer 360 ecosystem
Ensure customer data accuracy, completeness, consistency, timeliness, and reliability across analytics, marketing, communications, journeys, personalization, reporting, and operations
Monitor, assess, and improve data quality across Amperity, Snowflake, source applications, and downstream consumer systems
Partner with business stakeholders, technology, data engineering, data governance, marketing, analytics, and operational teams
Define and maintain critical data elements, data quality rules, thresholds, and controls
Monitor data quality metrics and identify trends, risks, and improvement opportunities
Perform ongoing monitoring using Monte Carlo and other monitoring platforms
Analyze alerts, anomalies, trends, and exceptions to determine root causes and business impact
Design and maintain monitoring rules and data quality controls
Develop dashboards, scorecards, and executive reporting on data quality health
Lead testing for system enhancements, platform upgrades, source integrations, and process changes
Develop and execute test strategies, test cases, validation procedures, and reconciliations
Certify and recertify source system data contributing to Customer 360
Validate identity resolution outcomes, attribute mappings, transformation logic, and business rules
Conduct detailed data analysis and troubleshooting to identify root causes
Lead investigations involving multiple systems, processes, and stakeholder groups
Coordinate issue resolution across business, technology, analytics, and vendor teams
Document findings, remediation plans, risks, and resolution outcomes
Track issues through resolution and validate corrective actions
Support Amperity Customer 360 identity, profile, and audience management capabilities
Use Snowflake for analysis, reconciliation, monitoring, and warehouse investigations
Validate data pipelines, transformations, integrations, and downstream consumption
Improve data quality processes, controls, automation, and operational effectiveness
Leverage AI and advanced analytical tools for anomaly detection, issue identification, root cause analysis, documentation, testing, and reporting
Recommend monitoring, reporting, and governance enhancements
Contribute to enterprise data quality standards and best practices
Assess risks, prioritize improvements, communicate technical findings, facilitate remediation discussions, and provide business recommendations

Requirements

What you’ll need

Bachelor’s degree and a minimum of 3 years related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience
Experience with one or more database technologies
Expert in Structured Query Language (SQL) – Advanced SQL
Experience in the collection and management of metadata
Experience working in Data Governance and Data Quality programs at large, complex organizations
Experience performing complex data analysis, testing, validation, and troubleshooting
Strong SQL and data investigation skills
Experience working with large-scale enterprise data platforms and data warehouses
Experience creating dashboards, scorecards, reporting, and data quality metrics
Strong root cause analysis and problem-solving abilities
Excellent written and verbal communication skills
Ability to translate technical findings into business-friendly recommendations
Experience managing multiple priorities and working in a fast-paced environment
Experience with the Amperity Customer 360 platform
Experience supporting Customer 360, Master Data Management (MDM), Customer Data Platforms (CDP), or identity resolution solutions
Experience with Snowflake
Experience with Monte Carlo or comparable data observability platforms
Financial services industry experience
Experience with enterprise data governance and 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 concepts, householding, customer matching, and golden record methodologies
Experience leveraging AI and automation for data analysis, testing, monitoring, or issue management activities
Demonstrated intellectual curiosity and a passion for understanding and improving data
Proven ability to influence change across cross-functional business and technology teams