Data Scientist – Technology and Enterprise Operations First Line Risk

Leads the development of data-driven insights through advanced analytics, process automation, and data visualization. Oversees the design and delivery of dashboards, reports, and analytical solutions that support informed business and risk management decisions. Validates and promotes adherence to data quality, metric governance, and visualization standards to ensure the accuracy, reliability, and effectiveness of KRIs, KPIs, and other business metrics while driving continuous improvement

Position Responsibilities:

• Develop and implement best practices for analytics, metric validation, reporting, data visualization, and process automation.

• Identify and implement best practices to navigate and publish Business Intelligence (BI) dashboards/reports; analyze and report on adoption and usage trends.

• Manage and participate in the creation of access to ad-hoc analysis and self-service BI tools; train organization on tool usage and maintain tool access.

• Use knowledge of programming languages to query, structure, transform, and model data for use in dashboards, reports, analytics, validation and automation solutions

• Apply expert knowledge of data management concepts, metadata, and data modeling practices to ensure the accuracy, consistency, and reliability of data used in reporting and analytics.

• Manage and drive business insights through the development of descriptive, diagnostic, and predictive reporting through the selection of appropriate advanced visuals to identify trends and outliers.

• Use expert knowledge of visual perception principles to develop, maintain, and enhance templates, standards, and themes aligned to audience needs and organizational standards.

• Support and champion continuous improvement in visualization through the review and enhancement of dashboards and reports.

• Manage modification of dashboards/reports to ensure dynamic data and actionable items are presented in an understandable manner that meet the business needs.

• Partner with data stakeholders to gather visualization requirements and deliver actionable insights.

• Leverage AI-driven analytics and automation tools, including Microsoft Copilot, Power BI Copilot, Power Automate, and Python, to automate reporting processes, enhance data validation activities, improve data quality, and increase operational efficiency.

• Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.  Identify risk-related issues needing escalation to management.

• Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.  Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis.  

• Identify risk-related issues needing escalation to management.
  Promote an environment that supports belonging and reflects the M&T Bank brand.

• Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.

• Complete other related duties as assigned.

Minimum Qualifications Required:

• Bachelor’s degree and a minimum of 7 years of related experience, or in lieu of a degree, a combined minimum of 11 years higher education and/ or work experience, including a minimum of 7 years related experience

• Minimum of 1 year managerial, supervisory and/or work leadership experience

• Tactical experience with a minimum of one data visualization tool

• Experience designing and developing advanced dashboards/reports and data visualizations

• Expert knowledge of data visualization approaches

• Experience incorporating data storytelling into visualizations

• Experience using Structured Query Language (SQL) to analyze, extract, and transform data

Ideal Qualifications Preferred:

• Tactical experience with multiple data visualization tools

• Experience driving business value through data visualizations

• Knowledge of data management concepts and terminology

• Advanced experience with data quality assurance, metric/KRI validation, model validation, data lineage analysis, and control effectiveness testing. 

• Experience leveraging emerging AI technologies and automation tools to improve reporting processes, data validation activities, and operational efficiency.