Senior Lead Digital Product Manager

Wells Fargo & Company•Minneapolis, MN

1d•Onsite

About The Position

Wells Fargo is seeking a Senior Lead Digital Product Manager as part of Digital Technology and Innovation (DTI). The DTI group supports Corporate Strategy, Digital Platform & Innovation, working closely with business and technology partners to evolve Wells Fargo’s digital and AI platforms and responsibly scale innovation into production‑grade, customer‑facing capabilities. This role focuses on enterprise AI platform operations and resiliency from a customer consumption impact lens, ensuring that AI services are operationally ready, resilient, and scalable as enterprise adoption grows. The position is heavily aligned to technical program management, leading large, complex, cross‑functional initiatives that shape how the platform operates at scale. The Senior Lead Digital Product Manager defines and evolves customer‑facing operational models, drives execution across product and engineering teams, and owns customer‑impacting readiness and resiliency outcomes for the enterprise AI platform, while partnering closely with platform support and incident management teams.

Requirements

7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, or education.
3+ years across product/solution management, program delivery, or technical product ownership for AI/ML platforms, distributed systems, cloud platforms, APIs, data platforms, or similar domains.
2+ years of proven experience acting as an owner for customer‑facing operational outcomes across cross‑functional teams.

Nice To Haves

Experience operating AI/ML, data, or platform services in production enterprise environments.
Familiarity with GenAI and agentic AI systems, including model lifecycle and operational dependencies.
Experience working in regulated environments with strong governance, security, and compliance requirements.
Working knowledge of cloud‑native platforms (GCP or Azure), container orchestration, and observability tooling.
Experience defining and reporting platform health, resiliency, and readiness metrics.
Technical background in engineering, computer science, or a related discipline.

Responsibilities

Own customer‑facing platform operational outcomes, from production readiness through steady‑state execution and continuous improvement.
Define and evolve customer‑facing operational readiness, including support models, SLAs/SLOs, escalation paths, and consumption health signals.
Act as the primary point of accountability for customer‑impacting operational health, partnering with platform support teams for execution and delivery.
Partner with incident management and support teams to ensure effective post‑incident reviews, stakeholder communications, and systemic remediation.
Proactively identify cross‑platform operational dependencies across models, data pipelines, APIs, infrastructure components, and third‑party vendors.
Lead enterprise‑wide resiliency initiatives focused on availability, fault tolerance, recovery, and operational stability of AI services.
Drive cross‑functional execution across product, engineering, infrastructure, security, risk, compliance, and vendor partners.
Ensure AI services meet high standards for reliability, scalability, security, and operational readiness, aligned to customer and business impact.
Lead large, complex, cross‑functional technical programs from strategy and planning through execution, launch, and operationalization.
Break down ambiguous and complex problem spaces into executable workstreams, milestones, and measurable outcomes.
Anticipate and proactively manage risks, trade‑offs, and bottlenecks before they impact platform stability or customer experience.
Drive with urgency and foresight, balancing near‑term delivery with long‑term platform sustainability, resiliency, and technical excellence.
Unblock stalled progress proactively by clarifying priorities, anticipating risks and patterns, mobilizing the right resources, and enabling fast, high‑quality decisions.
Continuously simplify, automate, and scale operations by leveraging trends, insights, and systemic learnings to improve customer experience, platform resiliency, and operational rigor.
Partner closely with engineering teams to understand system architecture, dependencies, and technical constraints.
Translate complex technical concepts into clear, actionable narratives for non‑technical and executive stakeholders.
Ensure programs meet high standards for reliability, scalability, security, and operational excellence.
Define and track customer‑centric platform health metrics, including adoption readiness, stability signals, and experience trends.
Produce executive‑ready updates, reporting, and insights to inform leadership decisions and investment prioritization.
Strengthen confidence among business and technology leaders in the platform’s ability to scale enterprise‑wide.