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Open nowPosted yesterday

Data Quality Lead

M&T Bank769 open roles

Where
Buffalo NY
Work mode
Hybrid
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Your applicationOpen nowData Quality LeadM&T Bank · Buffalo NY

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. M&T Bank postings stay open a median of 32 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted yesterday

M&T Bank median: 32 days open

The posting

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 Management

  • Support enterprise-wide data quality initiatives across the Customer 360 environment, ensuring customer data is accurate, complete, consistent, timely, and reliable
  • Serve as a subject matter expert for customer data domains and Customer 360 processes
  • Develop a deep understanding of customer identity resolution, golden record construction, customer hierarchies, and customer data integration processes
  • Partner with data governance and business teams to define and maintain critical data elements, data quality rules, thresholds, and controls
  • Monitor customer data quality metrics and proactively identify emerging trends, risks, and opportunities for improvement

Monitoring and Data Quality Controls

  • Perform ongoing data quality monitoring utilizing 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 aligned to organizational standards and data quality objectives
  • Measure and report performance across key data quality pillars including
  • Develop dashboards, scorecards, and executive reporting to communicate data quality health across the Customer 360 ecosystem

Testing and Validation

  • Lead data quality testing efforts associated with system enhancements, platform upgrades, new source integrations, and process changes
  • Develop and execute test strategies, test cases, validation procedures, and reconciliation activities
  • Perform certification and recertification of source system data contributing to Customer 360
  • Validate customer identity resolution outcomes, attribute mappings, transformation logic, and business rule implementations
  • Ensure data quality requirements are properly incorporated into project delivery and change management processes

Issue Investigation and Resolution

  • Conduct detailed data analysis, research, and troubleshooting activities to identify root causes of data quality issues
  • Lead enterprise data quality investigations involving multiple systems, business processes, and stakeholder groups
  • Coordinate issue resolution efforts across business, technology, analytics, and vendor teams
  • Document findings, remediation plans, risks, and resolution outcomes
  • Track data quality issues through resolution and validate corrective actions have successfully addressed root causes

Amperity and Snowflake Support

  • Support data quality activities related to the Amperity Customer 360 platform and associated customer identity, profile, and audience management capabilities
  • Leverage Snowflake for data analysis, reconciliation, data quality monitoring, and warehouse-based investigations
  • Collaborate with data engineering teams to validate data pipelines, transformations, integrations, and downstream data consumption
  • Support customer data availability and usability for analytics, campaign management, customer communications, and journey orchestration use cases

Process Improvement and Innovation

  • Identify 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 reporting
  • Recommend enhancements to monitoring frameworks, reporting capabilities, and data quality governance practices
  • Contribute to the development of enterprise data quality standards and best practices

Stakeholder Collaboration

  • Partner with business and technology stakeholders to assess risks and prioritize data quality improvements
  • Communicate complex data issues and findings to both technical and non-technical audiences
  • Facilitate discussions regarding data quality impacts, remediation plans, and operational readiness
  • Provide recommendations that support business decisions and improve customer data reliability across the enterprise

NATURE AND SCOPE:

MANAGERIAL/SUPERVISORY RESPONSIBILITY:

None

MINIMUM 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 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

IDEAL QUALIFICATIONS PREFERRED:

  • 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

M&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.

Location

Buffalo, New York, United States of America

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