Senior Lead Digital Product Manager – EMM & Orchestration

Wells Fargo•Irving, TX
•$159,000 - $305,000•Hybrid

About The Position

Wells Fargo is seeking a Senior Lead Digital Product Manager within the Marketing & Sales Platform team to lead enterprise Generative AI capabilities for EMM and its Orchestration layer. EMM will act as a central user interface or “copilot” for campaign managers to design, test, approve, and deploy marketing campaigns. The orchestration layer will coordinate downstream AI agents for audience targeting, creative generation, channel activation, compliance checks, and performance insights. These capabilities support Wells Fargo’s Future Autonomous Marketing strategy. As product owner, this role drives complex feature delivery across EMM and Orchestration, translating business needs into actionable requirements and partnering with engineering, data science, design, marketing, compliance, and risk teams. The role owns product strategy and roadmap, prioritizes cross-functional capabilities, leads agile delivery, supports enterprise reliability and governance, gathers user feedback, and measures product impact. The position offers a hybrid work schedule and requires willingness to work onsite at one of the listed locations: Charlotte, North Carolina; Irving, Texas; or San Francisco, California. Relocation assistance is unavailable, and the position is not eligible for visa sponsorship.

Requirements

  • 7+ years of digital product management experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination.
  • Proven experience with marketing platforms and expertise in successfully implementing complex solutions across the marketing life cycle.
  • Hands-on familiarity with Generative AI platforms (LLMs), agent orchestration frameworks, prompt engineering, vector search/RAG, experimentation, and evaluation methods.

Nice To Haves

  • Demonstrated delivery of complex, platform-scale capabilities.
  • Experience writing detailed acceptance criteria and partnering closely with engineering.
  • Proven ability to operate in a regulated enterprise environment.
  • Experience with vector search, RAG, evaluation, and observability tools.
  • Familiarity with model risk management and Responsible AI.
  • Experience supporting human-in-the-loop creative or compliance workflows.

Responsibilities

  • Own and evolve the product strategy and roadmap for EMM and the Orchestration layer, aligning features with end-to-end campaign workflows from brief and ideation through deployment and post-launch optimization.
  • Define, prioritize, and sequence the backlog for high-impact cross-functional capabilities; translate marketing and operational needs into epics, user stories, and testable acceptance criteria, including UX requirements for campaign managers and marketing operations.
  • Partner with engineering, data science, AI/ML, analytics, and design teams to lead agile delivery, including refinement, sprint execution, release planning, incident response, and continuous improvement.
  • Build and advance the orchestration layer coordinating AI agents for audience selection, segmentation, creative generation, channel activation and flighting, compliance and brand safety checks, and performance insights.
  • Support enterprise-grade reliability, observability, and governance, including SLAs, telemetry, red-teaming, evaluation harnesses, model risk management, privacy and PII safeguards, prompt logging, and human-in-the-loop review workflows.
  • Conduct ongoing discovery and user research; build feedback loops with marketers, power users, and partner teams, and incorporate insights into product improvements, UX refinements, and backlog adjustments.
  • Collaborate with Marketing, MarTech/AdTech, Legal/Compliance, Risk, and InfoSec to meet Responsible AI, security, content policy, and model governance standards in a regulated enterprise environment.
  • Define, measure, and improve product impact, including adoption, engagement, time-to-launch, operational efficiency, model quality, hallucination rates, and compliance outcomes; support dashboarding and instrumentation.

Benefits

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement
  • Employees may also be eligible for incentive opportunities.
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