Software Engineering Manager Legal Technology Data Platforms

Wells Fargo Bank•Charlotte, NC

9d•Hybrid

About The Position

Wells Fargo is seeking a Software Engineering Manager to lead a globally distributed engineering team that builds, modernizes, and operates data platforms supporting Legal Technology. The role combines engineering leadership, data expertise, and operational discipline to deliver trusted, secure, scalable solutions and establish a data foundation for future AI-enabled Legal capabilities. The manager is expected to remain connected to the technology while developing engineers and partnering with Legal, Product, Architecture, Information Security, and Technology teams to translate business needs into practical engineering solutions. The position leads delivery and modernization of data solutions for legal hold, matter lifecycle management, and legal operations. It guides engineering design and quality across SQL, ETL and data pipelines, APIs, batch processing, secure file transfers, CI/CD, DevSecOps, and containerized environments. It also strengthens data quality, governance, lineage, access, retention, privacy, and readiness for AI-enabled capabilities. The manager drives security and operational excellence across vulnerability remediation, technology currency, release management, production support, incident management, and root cause analysis. The role serves as an escalation point for complex engineering and production issues, partners with product leaders on priorities and roadmaps, and fosters accountability, collaboration, technical excellence, experimentation, and continuous improvement. It also identifies opportunities to apply AI, machine learning, and automation to Legal Technology workflows and business outcomes. The role is hybrid, with three days in the office. Wells Fargo states that visa sponsorship is not available at this time. The posting end date is November 13, 2026, though the posting may be removed earlier due to applicant volume.

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
2+ years of Leadership experience.
3+ years of experience with data warehouses, datamarts, data lakes, or similar data environments.

Nice To Haves

Experience applying technology, automation, AI, and data-driven solutions to legal workflows, including translating legal and business needs into scalable technology solutions.
Experience in Legal Technology or Legal Technology startups.
Experience leading software engineering, data engineering, data platform, or application development teams.
Strong knowledge of SQL, relational databases, ETL/data pipelines, APIs, integrations, and enterprise data environments.
Experience with modern engineering practices such as Git, CI/CD, automated testing, DevSecOps, Kubernetes, Helm, and secrets management.
Experience with data quality, governance, lineage, security, and privacy within complex or regulated environments.
Experience managing production applications, releases, incidents, vulnerabilities, and technology risk.
Ability to provide technical direction while coaching and developing engineering talent.
Experience leading or partnering with globally distributed and offshore engineering teams.
Strong communication, problem-solving, and stakeholder-management skills in a highly matrixed organization.
Experience with Legal or Compliance technology, including platforms such as Onit or Exterro.
Experience applying AI/ML or automation to enterprise workflows.

Responsibilities

Manage, coach, and develop a globally distributed team of engineers delivering Legal Technology data platforms, applications, pipelines, and integrations.
Lead the delivery and modernization of data solutions supporting legal hold, matter lifecycle management, and legal operations.
Partner with architects and experienced engineers to align solutions with enterprise architecture, data strategy, application modernization, and technology standards.
Guide technical design and engineering quality across SQL, ETL/data pipelines, APIs, batch processing, secure file transfers, CI/CD, DevSecOps, and containerized environments.
Strengthen data quality, governance, lineage, access, retention, privacy, and readiness for AI-enabled capabilities.
Drive security and operational excellence through vulnerability remediation, technology currency, release management, production support, incident management, and root cause analysis.
Serve as an escalation point for complex engineering and production issues, removing roadblocks and improving platform reliability, scalability, and performance.
Partner with Product Managers and Product Owners to influence technology priorities, roadmaps, requirements, and delivery outcomes.
Foster a culture of accountability, collaboration, technical excellence, experimentation, and continuous improvement.
Identify opportunities to apply AI, machine learning, and automation to improve Legal Technology workflows and business outcomes.
Support applicable risk programs and follow Wells Fargo policies and procedures, escalate and remediate issues, and make sound risk and compliance decisions.