Lead Digital Product Manager

Wells Fargo•Irving, TX

3d•Hybrid

About The Position

Wells Fargo is seeking a Lead Digital Product Manager to drive strategy, roadmap, adoption, and business outcomes for the enterprise Developer Tools portfolio within Development Enablement. The role owns the vision and lifecycle of developer tools and productivity capabilities, including AI-assisted software development, integrated development environments (IDEs), developer portals, and security tooling used by thousands of engineers across the enterprise. The ideal candidate combines product ownership expertise, software engineering knowledge, Developer Experience (DevEx) principles, and strategic leadership to modernize software delivery and accelerate engineering productivity. The position offers a hybrid work schedule and is not eligible for visa sponsorship. The role also requires foundational AI literacy: using approved AI tools appropriately for everyday work, applying sound judgment to AI-generated outputs, understanding AI limitations, protecting data, and following company policies for ethical and responsible AI use. Employees are accountable for applicable risk programs and for following Wells Fargo policies and procedures, fulfilling risk and compliance obligations, escalating and remediating issues, and making sound risk decisions. The company emphasizes proactive monitoring, governance, risk identification, and escalation.

Requirements

At least 5 years of digital product management experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
Strong product ownership experience with enterprise software platforms, developer tools, frameworks, or shared technology services.
Experience defining product vision, strategy, roadmaps, and measurable outcomes aligned to business objectives.
Strong stakeholder management skills, including influencing engineering leaders, architects, developers, and executive leadership without direct authority.
Strong analytical and data-driven decision-making skills, including defining and tracking product KPIs, OKRs, and adoption metrics.
Ability to operate effectively in ambiguous environments, remove organizational impediments, and drive alignment across multiple teams and stakeholders.
Ability to demonstrate foundational AI literacy, exercise sound judgment with AI-generated outputs, understand basic AI limitations, and adhere to data privacy, security, and data-handling standards when using AI tools.

Nice To Haves

Familiarity with AI-assisted software development, developer productivity platforms, Agent Skills, Copilot, automation tooling, and modern engineering practices.
Technical background in software engineering, architecture, or platform engineering.
Experience with software engineering, application development, or platform engineering.
Knowledge of Developer Experience (DevEx) principles and developer productivity frameworks.

Responsibilities

Own the product vision, strategy, roadmap, and lifecycle for the Developer Tools product.
Manage and prioritize the product backlog in alignment with business objectives, developer needs, modernization goals, and regulatory requirements.
Define and track product KPIs, adoption metrics, modernization outcomes, developer productivity measures, and customer satisfaction indicators.
Gather feedback from engineering teams and translate insights into product enhancements and roadmap priorities.
Evaluate emerging technologies, AI-assisted development capabilities, and engineering automation opportunities that could improve developer productivity.
Communicate product strategy, roadmap progress, business value, risks, and outcomes to senior technology leaders and executive stakeholders.
Translate technology strategy, developer needs, and industry trends into measurable product outcomes.
Partner with Engineering, Architecture, Cyber Security, Infrastructure, Risk, and Operations leaders to align priorities and investments.
Own and prioritize a portfolio of developer tools, platforms, and services.
Lead tool rationalization, modernization, and lifecycle management initiatives.
Manage product investment plans, business cases, vendor relationships, and financial optimization opportunities.
Improve developer satisfaction, productivity, and onboarding experiences.
Establish adoption strategies and success metrics across engineering organizations.
Use analytics, productivity insights, and developer feedback to guide roadmap decisions.
Drive change management, communications, training, and enablement programs.
Manage dependencies across multiple products, platforms, and stakeholder groups.
Use approved AI tools for everyday activities such as research, summarization, drafting, analysis, and decision support while following data privacy, security, and responsible-use standards.
Fulfill applicable risk and compliance obligations, follow company policies and procedures, and escalate and remediate issues appropriately.