GenAI Product Management Lead - Global Ops at Wells Fargo
Phoenix, Arizona, USA -
Full Time


Start Date

Immediate

Expiry Date

03 Dec, 25

Salary

206000.0

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Product Management, Team Leadership, Automation Tools, Training, Product Strategy, Continuous Improvement, Product Leadership, Computer Science, Data Science, Stakeholder Management, Performance Metrics, Strategic Vision, Team Culture, Optimization, Collaboration

Industry

Information Technology/IT

Description

WHY WELLS FARGO

Are you looking for more? Find it here. At Wells Fargo, we’re more than a financial services leader - we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job - it’s about finding all of the elements to help you thrive, in one place.
Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. Join us!

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

  • 5+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • Product Leadership: 5+ years in digital product management, including 2+ years with GenAI or agentic AI.
  • Agentic AI: Expertise in autonomous agents, memory, planning, and tool integration.
  • GenAI Platforms: Hands-on with OpenAI, Anthropic, Vertex AI, and Azure OpenAI.
  • Enterprise Delivery: Proven success launching scalable AI in regulated environments.
  • Stakeholder Management: Strong communicator with cross-functional alignment experience.
  • Agile Development: Skilled in agile frameworks and end-to-end product lifecycle.
  • Intelligent Interfaces: Experience with synthetic agents, voice interfaces, or automation tools.
  • Technical Background: AI/ML, data science, or architecture experience; able to bridge tech and business.
  • Regulatory Awareness: Knowledge of financial regulations and responsible AI practices.
  • Education: MBA or MS in Computer Science or related field.
  • Platform Tools: Familiarity with Google ADK and Microsoft Copilot Studio.
  • Strategic Vision: Ability to align product strategy with business and AI trends.
  • Execution: Skilled in risk mitigation, dependency management, and timely delivery.
  • Innovation: Promotes experimentation and continuous improvement.
  • Collaboration: Connects technical, business, and compliance teams.
  • User-Centric Design: Focus on intuitive, engaging client experiences.
  • Performance Metrics: Uses KPIs for data-driven decisions and optimization.
  • Team Leadership: Mentors junior PMs and fosters a high-performing team culture
Responsibilities

Wells Fargo is seeking a visionary and execution-focused Lead Digital Product Manager to drive the strategy, architecture, and delivery of GenAI and Agentic AI initiatives. This role will lead cross-functional teams to build scalable, intelligent solutions that transform user experiences and operational efficiency across the enterprise.

In this role, you will:

  • Define and own product strategy: Define and own the product vision, roadmap, and success metrics for Generative Artificial Intelligence (GenAI) and Agentic Artificial Intelligence (Agentic AI) solutions.
  • Lead full product lifecycle: Lead end-to-end delivery of AI-powered products, from ideation through deployment and iteration.
  • Drive cross-functional collaboration: Collaborate with engineering, data science, design, and business stakeholders to ensure alignment and impact.
  • Design autonomous systems: Architect agentic systems that leverage autonomous workflows, memory, planning, and tool use.
  • Integrate advanced AI models: Evaluate and integrate GenAI models (e.g., Large Language Models (LLMs), multimodal models) into enterprise-grade applications.
  • Ensure responsible AI practices: Ensure compliance with governance, security, and ethical AI standards.
  • Promote innovation culture: Champion experimentation, rapid prototyping, and continuous learning.
  • Lead strategic digital initiatives: Lead the development and execution of complex digital business plans, programs and initiatives which have impact across the enterprise with broad impact.
  • Contribute to enterprise planning: Act as key participant in large-scale planning.
  • Analyze digital strategy: Review and analyze complex digital strategy for product/functionality/experience area.
  • Influence business direction: Influence digital strategy for the business line requiring in-depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Make strategic decisions: Make decisions in digital strategy for product/functionality/experience area requiring strong understanding of the business, policies, procedures and/or compliance requirements.
  • Lead digital teams: Lead a broad team of digital professionals to meet deliverables and drive new initiatives.
  • Collaborate across levels: Strategically collaborate and consult with peers, colleagues and mid-level to senior managers to resolve issues and achieve goals.
  • Mentor and manage projects: Potentially lead projects, teams or serve as a peer mentor.

Required Qualifications:

  • 5+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

  • Product Leadership: 5+ years in digital product management, including 2+ years with GenAI or agentic AI.
  • Agentic AI: Expertise in autonomous agents, memory, planning, and tool integration.
  • GenAI Platforms: Hands-on with OpenAI, Anthropic, Vertex AI, and Azure OpenAI.
  • Enterprise Delivery: Proven success launching scalable AI in regulated environments.
  • Stakeholder Management: Strong communicator with cross-functional alignment experience.
  • Agile Development: Skilled in agile frameworks and end-to-end product lifecycle.
  • Intelligent Interfaces: Experience with synthetic agents, voice interfaces, or automation tools.
  • Technical Background: AI/ML, data science, or architecture experience; able to bridge tech and business.
  • Regulatory Awareness: Knowledge of financial regulations and responsible AI practices.
  • Education: MBA or MS in Computer Science or related field.
  • Platform Tools: Familiarity with Google ADK and Microsoft Copilot Studio.
  • Strategic Vision: Ability to align product strategy with business and AI trends.
  • Execution: Skilled in risk mitigation, dependency management, and timely delivery.
  • Innovation: Promotes experimentation and continuous improvement.
  • Collaboration: Connects technical, business, and compliance teams.
  • User-Centric Design: Focus on intuitive, engaging client experiences.
  • Performance Metrics: Uses KPIs for data-driven decisions and optimization.
  • Team Leadership: Mentors junior PMs and fosters a high-performing team culture.

Job Expectations:

  • This position is not eligible for Visa sponsorship.
  • Ability to work on site per Wells Fargo’s standard operating model in the listed location (hybrid schedule - 3 days on-site & 2 remote).
  • The ability to travel up to 10% of the time.

Posting Location:

  • Charlotte, NC
  • Phoenix/Chandler, AZ
  • Dallas/Irving, TX
  • Minneapolis, MN (Shoreview)
  • Wilmington, DE

The Global Operations functions adhere to a location strategy; therefore, your candidacy may be determined based on your current location. Remote work locations are not available for these roles, so if you are not in a location listed on the posting, you must commit to self-relocation within an agreed upon timeframe.

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