About The Position

Wells Fargo is seeking a Lead Business Execution Consultant to provide strategic leadership for testing AI-powered telephony and digital solutions across a large-scale contact center. This enterprise-facing role will shape the quality strategy for the Contact Center Modernization program and influence delivery of AI-enabled Interactive Voice Virtual Assistant capabilities. The role collaborates with business, product, technology, operations, data science, risk, compliance, and model governance teams to oversee testing and release readiness for contact center and customer relationship management solutions. Capabilities include conversational AI and non-AI Interactive Voice Virtual Assistants, intelligent call routing, and data stream integration. The work supports reliable implementation, positive customer outcomes, and improved customer service workforce productivity. The position transforms the testing operating model for AI-enabled solutions; serves as the AI testing lead and escalation point; provides accountable UAT leadership; and leads end-to-end testing governance. It also manages cross-functional stakeholders and resources, advances test automation and repeatable practices, mentors junior team members, and provides quality oversight through testing metrics and release-readiness reporting. The role requires travel of up to 15%, a hybrid schedule, and the ability to support weekend or after-hours UAT testing as needed. Relocation benefits are unavailable, and the position is not eligible for visa sponsorship. Locations are Chandler, Arizona, and Irving, Texas.

Requirements

  • 5+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through work experience, training, military experience, or education.
  • 3+ years of contact center AI-powered voice and digital solutions technology implementation experience, including intent accuracy, multi-turn context, response quality, safe behavior, and human-agent handoffs.
  • 5+ years leading or managing testing for large-scale enterprise implementations.

Nice To Haves

  • Deep expertise in contact center technologies, including IVR, conversational AI, omnichannel journeys, routing, telephony/softphone, cloud platforms, and back-end integrations.
  • Ability to define enterprise test strategies and lead automation, efficiency, and technology-delivery roadmaps.
  • Development and test automation skills using AI-agent tools, Python, Playwright, Hammer, Cyara, APIs, GitHub Copilot, and CI/CD practices.
  • Experience in Agile product delivery and advanced knowledge of Jira, Octane, or comparable test management tools.
  • Ability to influence stakeholders, communicate complex concepts to senior leaders, and drive outcomes across matrixed business and technology teams.
  • Strong written and verbal communication skills, including presenting testing results, risks, and recommendations to technical and nontechnical audiences.

Responsibilities

  • Transform the testing operating model for AI-enabled solutions by establishing scalable strategies, governance, controls, policies, and procedures from planning through production.
  • Serve as the AI testing lead and escalation point, guiding cross-functional teams through complex validation, risk, release-readiness, and adoption decisions.
  • Provide accountable UAT leadership to protect business outcomes, strengthen operational readiness, and enable confident adoption of AI capabilities.
  • Lead end-to-end testing governance, ensuring complete and auditable plans, data, test cases, results, defect management, and controls.
  • Manage product, technology, line-of-business, and third-party stakeholders; collaborate with leaders to develop project plans and align priorities.
  • Coordinate UAT SMEs, analysts, and business partners; work with resource and testing leaders to assess capacity, resolve staffing concerns, and align resources with program priorities.
  • Expand test generation and execution automation, optimize offshore capacity, standardize repeatable testing practices, and mentor junior team members.
  • Provide decision-ready quality oversight through accurate Jira and Octane test and defect management data, testing metrics, defect trends, and release-readiness reporting.
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