Data Product Manager Lead - Data Modeling

This role offers a hybrid work schedule; offering the flexibility to work remotely two days a week, while providing the opportunity for in-person collaboration.

This position is available in Buffalo, NY/Wilmington, DE/Bridgeport, CT

Data Architecture Lead

About the Team

Our team is on a mission – unleashing the power of data supported decision making. Our team builds enduring data products, provides platforms to access & derive data insights, enables confident decision making with appropriate data governance, delivers actionable insights through data science and activates business value by innovatively solving problems with data. We love translating data, insights, and anecdotes into action. We operate with a sense of urgency, have a startup mentality, build data analytic products at scale, and innovate solutions on behalf of our customers. We work hard but value the need for downtime to unplug and recharge. We embrace our differences and view them as a key driver of innovation. We are Data@M&T.

Data Architecture

M&T Business and its Enterprise Data and Analytics organization is undergoing multi-year transformation effort which includes enhancing current Data Architecture and data science capabilities and modernizing our technology stack to run these workloads on the Cloud platform. Team works closely with Business users /stakeholders across different lines of business, products, functions to build data products to support Analytical and Operational Reporting, Data visualization, Dashboarding, search and Advanced analytics capabilities. The team’s mission is focused on converting data to actionable insights for our business partners who can utilize the same, to reduce administrative cost, increase revenues and improve the customer's experience.

We are looking to build out our data architecture organization with motivated and talented Data Architects  who are interested in being a part of this transformation journey and who have relevant experience in one of more domains.

• Large Enterprise Financial Services Data Architecture
• Cloud Technology / Migration to Cloud
• Build Out of Data Architecture & Data Modeling Capabilities
• Consumer and Retail Business
• Commercial Banking
• Digital
• Master Data & Reference Data Management
• Customer 360
• Finance and Profitability
• Regulatory Reporting
• Fraud, Compliance, AML

As part of the team, you will be in involved in enhancing current capabilities in Corporate Data Lake/ Data Warehouse, Master Data and Reference data management platforms both in on-prem and on Cloud. In this lead role, you will have an opportunity to design, implement, and maintain our cloud-based data architecture, with a specific focus on Snowflake. The ideal candidate will have a strong background in cloud technologies, data modeling, and database management, along with hands-on experience working with Snowflake or other similar platforms.

About the Role

The Data Architect Lead will coordinate and lead a team of Data Architects and Data Modelers, to develop data models and solutions for the design and implementation of large-scale data designs that will facilitate the build out of data products meeting the needs of consumers across various domains in the organization.

In this hands-on role, the Data Architect Lead will have the necessary technology design, communication, and leadership skills to independently manage highly visible and complex projects from start to finish. Within the Data Architecture Team, develop and maintain documentation of the data architecture, data flow and data models of the data platforms for various audiences. 

Additionally, provides direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling. 

This position must bring a good balance between technical and soft skills as well as a strong understanding of data and data management. 

Detailed job responsibilities

Data Architecture

• Manage and develop enterprise data roadmaps and reference data architecture patterns.
• Develop and implement data modeling best practices to ensure scalability, performance, and reliability.
• Support design and develop scalable, high-performance data architectures on the Snowflake cloud data platform to meet the evolving business needs and data growth. 
• Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. 
• Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling. 
• Re