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…