Engineering Analytics Manager

Wells Fargo & Company•Iselin, NJ

23h•$119,000 - $224,000•Onsite

About The Position

About this role: Wells Fargo is seeking an Engineering Manager for Data and Analytics within the Fraud and Claims Technology organization. This role leads a high performing team responsible for building, modernizing, and operating enterprise scale data and analytics platforms that support critical decisioning and insight generation across the bank. You will guide a team of data analysts and engineers, drive delivery of complex data initiatives, and partner closely with senior architects and product leaders to align strategy and execution. As a frontline manager, you will shape team performance, strengthen engineering practices, and enable the delivery of secure, scalable, and high-quality data solutions. If you excel at people leadership, technical delivery, and creating the conditions for teams to thrive, this is an opportunity to lead with impact and advance the bank’s data and analytics capabilities. In this role, you will:

Requirements

4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of Big Data experience
2+ years of leadership experience
Must be able to work onsite in one of the posted locations

Nice To Haves

Experience with Graph Database Neo4j or similar
Strong technical background across: PySpark, Spark, Hadoop, Hive, ETL/ELT tools (Informatica, Ansible etc.) SQL & NoSQL databases (SQL, Oracle, PostgreSQL, MongoDB)

Responsibilities

Manage and develop team of data analysts with low to moderate complexity and risk in data management and technology, and engage stakeholders and internal partners
Identify and recommend opportunities for process improvement and risk control development
Operate data environments, integrate with new technologies and oversee the development of new processes that support teams across the global organization
Gather business requirements through direct interaction with software development teams
Make decisions and resolve issues regarding resources, objectives and operations of data management area to meet business objectives
Interpret and develop policies and procedures for Technology functions with low to moderate complexity
Collaborate and influence all levels of professionals including managers
Lead team to achieve objectives
Manage allocation of people and financial resources for Data Engineering and Management
Mentor and guide talent development of direct reports and assist in hiring talent