Data Quality Lead

M&T Bank Corporation; Buffalo (NY); Hybrid; USD 86,000 - 143,000; Full time

Job summary

M&T Bank Corporation is seeking a Data Quality lead for the Customer 360 ecosystem, focusing on accuracy, completeness, timeliness, and reliability of customer data used for analytics, marketing, and operations.

Work is hybrid with four days onsite and one remote, based at one of M&T's corporate locations in Buffalo. The role partners with governance, analytics, data engineering, and business teams to ensure data quality and support data-driven initiatives.

Qualifications

• Bachelor’s degree or higher required or equivalent work experience in a related field.
• Strong SQL and data analysis skills with ability to investigate data quality issues.
• Experience with data governance and data quality programs in large organizations.

Responsibilities

• Lead and support enterprise data quality initiatives across the Customer 360 environment.
• Monitor data quality metrics, identify trends, and report on health across systems.
• Perform root cause analysis, investigate issues, and coordinate cross-functional resolution.

Skills

SQL

Data Quality

Data Governance

Analytical Thinking

Troubleshooting

Dashboarding

Education

Bachelor’s degree or higher

Tools

Snowflake

Amperity

Monte Carlo

Job description

This position will be hybrid 4 days onsite (1 day remote) based out of one of M&T's Corporate Locations.OVERVIEW:Leads and supports enterprise data quality efforts for the Customer 360 ecosystem, with a primary focus on ensuring the accuracy, completeness, consistency, timeliness, and reliability of customer data leveraged for analytics, marketing, customer communications, customer journeys, personalization, regulatory reporting, and operational processes.This position serves as a key member of the Data Quality team responsible for monitoring, assessing, and improving data quality across the Enterprise Customer 360 platform, including Amperity, Snowflake, source applications, and downstream consumer systems. The role partners closely with business stakeholders, technology teams, data engineering teams, data governance, marketing, analytics, and operational partners to identify, investigate, prioritize, and resolve data quality issues impacting enterprise customer information.The successful candidate will demonstrate strong analytical capabilities, intellectual curiosity, and a passion for understanding customer data. This role requires extensive investigative research, root cause analysis, testing, issue management, reporting, and continuous monitoring activities to ensure customer data remains trusted and fit for purpose across the enterprise.The position also supports ongoing platform enhancements, source data recertifications, monitoring initiatives, and opportunities to leverage artificial intelligence and automation to improve data quality processes, controls, and operational efficiencies.POSITION RESPONSIBILITIES:Customer 360 Data Quality ManagementSupport enterprise-wide data quality initiatives across the Customer 360 environment, ensuring customer data is accurate, complete, consistent, timely, and reliableServe as a subject matter expert for customer data domains and Customer 360 processesDevelop a deep understanding of customer identity resolution, golden record construction, customer hierarchies, and customer data integration processesPartner with data governance and business teams to define and maintain critical data elements, data quality rules, thresholds, and controlsMonitor customer data quality metrics and proactively identify emerging trends, risks, and opportunities for improvementMonitoring and Data Quality ControlsPerform ongoing data quality monitoring utilizing Monte Carlo and other monitoring platformsAnalyze alerts, anomalies, trends, and exceptions to determine root causes and business impactDesign and maintain monitoring rules and data quality controls aligned to organizational standards and data quality objectivesMeasure and report performance across key data quality pillars includingDevelop dashboards, scorecards, and executive reporting to communicate data quality health across the Customer 360 ecosystemTesting and ValidationLead data quality testing efforts associated with system enhancements, platform upgrades, new source integrations, and process changesDevelop and execute test strategies, test cases, validation procedures, and reconciliation activitiesPerform certification and recertification of source system data contributing to Customer 360Validate customer identity resolution outcomes, attribute mappings, transformation logic, and business rule implementationsEnsure data quality requirements are properly incorporated into project delivery and change management processesIssue Investigation and ResolutionConduct detailed data analysis, research, and troubleshooting activities to identify root causes of data quality issuesLead enterprise data quality investigations involving multiple systems, business processes, and stakeholder groupsCoordinate issue resolution efforts across business, technology, analytics, and vendor teamsDocument findings, remediation plans, risks, and resolution outcomesTrack data quality issues through resolution and validate corrective actions have successfully addressed root causesAmperity and Snowflake SupportSupport data quality activities related to the Amperity Customer 360 platform and associated customer identity, profile, and audience management capabilitiesLeverage Snowflake for data analysis, reconciliation, data quality monitoring, and warehouse-based investigationsCollaborate with data engineering teams to validate data pipelines, transformations, integrations, and downstream data consumptionSupport customer data availability and usability for analytics, campaign management, customer communications, and journey orchestration use casesProcess Improvement and InnovationIdentify opportunities to improve data quality processes, controls, automation, and operational effectiveness.Leverage AI and advanced analytical tools to improve anomaly detection, issue identification, root cause analysis, documentation, testing effectiveness, and reportingRecommend enhancements to monitoring frameworks, reporting capabilities, and data quality governance practicesContribute to the development of enterprise data quality standards and best practicesStakeholder CollaborationPartner with business and technology stakeholders to assess risks and prioritize data quality improvementsCommunicate complex data issues and findings to both technical and non-technical audiencesFacilitate discussions regarding data quality impacts, remediation plans, and operational readinessProvide recommendations that support business decisions and improve customer data reliability across the enterpriseNATURE AND SCOPE:MANAGERIAL/SUPERVISORY RESPONSIBILITY:NoneMINIMUM QUALIFICATIONS REQUIRED: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 experienceExperience with one or more database technologiesExpert in Structured Query Language (SQL) – Advanced SQLExperience in the collection and management of metadataExperience working in Data Governance and Data Quality programs at large, complex organizationsExperience performing complex data analysis, testing, validation, and troubleshootingStrong SQL and data investigation skillsExperience working with large-scale enterprise data platforms and data warehousesExperience creating dashboards, scorecards, reporting, and data quality metricsStrong root cause analysis and problem-solving abilitiesExcellent written and verbal communication skillsAbility to translate technical findings into business-friendly recommendationsExperience managing multiple priorities and working in a fast-paced environmentIDEAL QUALIFICATIONS PREFERRED:Experience with the Amperity Customer 360 platformExperience supporting Customer 360, Master Data Management (MDM), Customer Data Platforms (CDP), or identity resolution solutionsExperience with SnowflakeExperience with Monte Carlo or comparable data observability platformsFinancial services industry experienceExperience with enterprise data governance and data stewardship programsExperience developing data quality frameworks, controls, and monitoring solutionsExperience supporting marketing, customer communications, personalization, and customer journey initiativesKnowledge of customer identity resolution concepts, householding, customer matching, and golden record methodologiesExperience leveraging AI and automation for data analysis, testing, monitoring, or issue management activities·Demonstrated intellectual curiosity and a passion for understanding and improving dataProven ability to influence change across cross-functional business and technology teamsM&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America