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Wells Fargo

Senior Lead Digital Product Manager – Testing Strategy & Release Management

Wells Fargo

Senior Lead Digital Product Manager at Wells Fargo overseeing AI testing strategy and release management. Driving disciplined delivery through testing frameworks and lifecycle governance aligned to Responsible AI standards.

Posted 7/14/2026full-timeCharlotte • North Carolina, Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI Testing Strategy, Release Management, and Risk Mitigation for complex digital initiatives, ensuring compliance with Responsible AI principles and regulatory standards. Proven ability to lead cross-functional teams in Agile and SAFe environments while driving continuous improvement in testing practices.

Highest-signal resume keywords
AI Testing StrategyGenerative AI SolutionsRelease Management FrameworksRisk-Based TestingResponsible AI Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
End-to-End Testing StrategyFunctional TestingNon-Functional TestingIntegration TestingModel ValidationDeployment ControlsPost-Release OptimizationMetrics AnalysisDefect AnalysisRelease Readiness Criteria
Soft Skills
Executive CommunicationInfluencing SkillsCoachingMentoringDecision-Making
Tools & Technologies
Agile MethodologiesSAFe FrameworkRelease TrainsTesting GovernanceRisk Management Tools
Industry Keywords
Digital Product ManagementAI Lifecycle ManagementComplianceModel Risk ManagementControl Management

About the role

Key responsibilities & impact
  • act as a senior advisor to leadership on AI testing strategy, release readiness, and execution risk across complex, enterprise-wide initiatives
  • define and own end-to-end testing strategy for GenAI and Agentic AI solutions, including functional, non-functional, integration, model, security, resilience, and risk-based testing
  • establish and oversee AI test governance, ensuring testing approaches align to enterprise risk standards, Responsible AI principles, and regulatory expectations
  • design and manage release management frameworks and release trains to enable coordinated, predictable deployment across multiple teams, platforms, and lines of business
  • lead execution planning for testing and release activities across scaled delivery models, including Agile and SAFe environments
  • partner closely with Risk, Compliance, Legal, Control Management, and Model Risk teams to ensure solutions meet governance and control requirements prior to production
  • identify, assess, and mitigate testing and release risks for highly complex and ambiguous AI initiatives
  • develop and socialize release readiness criteria, go/no-go decision frameworks, and post-release validation processes
  • ensure continuous improvement of testing practices through metrics, defect analysis, post-incident reviews, and lessons learned
  • translate complex technical, operational, and regulatory requirements into clear testing plans and release execution strategies
  • provide thought leadership and guidance on emerging best practices for AI testing, deployment controls, and lifecycle management
  • influence, coach, and mentor delivery teams and peers, setting standards for quality, accountability, and execution excellence consistent with Senior Lead expectations

Requirements

What you’ll need
  • 7+ years of digital product management experience
  • extensive experience leading enterprise-scale testing and release management for complex digital or AI capabilities
  • strong experience delivering Generative AI and/or Agentic AI solutions, preferably within highly regulated environments
  • deep expertise in AI lifecycle management, including testing strategies, deployment controls, monitoring, and post-release optimization
  • proven experience establishing and managing release trains across multiple teams and platforms
  • strong understanding of risk-based testing, model validation considerations, data controls, and non-functional testing requirements
  • demonstrated knowledge of Responsible AI principles, AI governance, and model risk management practices
  • experience partnering with Risk, Compliance, Legal, Control, and Technology teams to deliver compliant, production-ready solutions
  • strong executive communication and influencing skills, with the ability to drive alignment across matrixed organizations
  • ability to operate independently and make sound judgments consistent with Senior Lead individual contributor accountability
  • familiarity with Agile, SAFe, or other scaled delivery methodologies in large enterprise environments

Benefits

Comp & perks
  • robust benefits
  • competitive compensation
  • programs designed to help you find work-life balance and well-being