Senior Lead Digital Product Manager- Agentic Operations

Wells Fargo•Minneapolis, MN

2d•$159,000 - $279,000

About The Position

The Senior Lead Digital Product Manager for Agentic Operations serves as the strategic product owner for enterprise AI agent operating capabilities that support Marketing business operations. The role is accountable for defining product vision, strategy, roadmap, controls, performance measures, and adoption approaches to enable reliable, measurable, compliant, and scalable business outcomes. This individual-contributor position calls for advanced product management expertise, senior stakeholder influence, sound risk and control judgment, and the ability to turn emerging AI and agentic operating concepts into practical enterprise capabilities. The role partners across product, technology, design, analytics, risk, compliance, legal, operations, and business leadership to shape the operating model for AI agents and ensure solutions are governed, observable, resilient, and aligned with business priorities. Wells Fargo states that visa sponsorship and relocation will not be supported. The listed base pay range is $159,000 to $279,000, with possible eligibility for incentive opportunities. The posting end date is October 29, 2026, though the posting may be removed earlier due to applicant volume.

Requirements

At least 7 years of digital product management experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
Advanced experience defining product vision, strategy, roadmaps, outcomes, requirements, epics, features, and delivery priorities for complex digital, data, platform, workflow, or technology-enabled capabilities.
Experience leading complex, cross-functional product initiatives with company, line-of-business, or enterprise-level impact.
Experience operating in a regulated environment with accountability for risk, compliance, controls, governance, audit readiness, privacy, information classification, or responsible technology practices.
Experience using data, product performance metrics, customer or user insights, operational reporting, and business analysis to make product decisions and communicate recommendations.
Experience partnering with technology, design, analytics, risk, compliance, legal, operations, and business stakeholders to deliver measurable outcomes.

Nice To Haves

Experience with enterprise AI platforms, LLM-based capabilities, AI agents, agent orchestration, observability tools, prompt operations, knowledge management, model routing, workflow automation, or AI-enabled product capabilities.
Experience managing or supporting marketing capabilities such as marketing automation, audience operations, campaign orchestration, personalization, customer engagement, content operations, decisioning, or marketing workflow platforms.
Experience developing product capabilities for monitoring, resiliency, explainability, auditability, escalation, human-in-the-loop operations, control management, or operational governance.
Experience applying responsible AI, model risk, privacy, information security, audit, records, compliance, legal, or control expectations to digital, data, marketing, or technology-enabled business processes.
Experience with agile delivery practices, backlog prioritization, product discovery, quarterly or PI planning, Jira, Confluence, Jira Align, product roadmaps, product scorecards, and cross-functional delivery routines.
Experience developing operating models, playbooks, adoption plans, performance scorecards, capacity management routines, executive reporting, and value-realization frameworks for digital or platform products.
Experience leading senior stakeholder discussions, governance reviews, steering routines, portfolio planning, and strategic prioritization conversations.
Experience managing product priorities, dependencies, sequencing, stakeholder alignment, and trade-off decisions across multiple teams or business areas.
Financial services, consumer banking, lending, marketing, data, digital platform, or regulated technology experience.
Strong understanding of human-centered design, customer experience, user research, product analytics, and technology delivery practices.
Strong communication and executive-level storytelling skills, including translating technical, operational, AI, risk, and product concepts into clear recommendations for senior leaders.
Demonstrated ability to influence without direct authority, lead through ambiguity, simplify complex problems, and align stakeholders around strategic priorities.
Demonstrated ability to operate with a strong risk mindset while driving innovation, operational excellence, adoption, and measurable business value.

Responsibilities

Define and own the product vision, strategy, roadmap, and measurable outcomes for Agentic Operations capabilities supporting Marketing business operations.
Serve as the business authority for agentic operations product capabilities, ensuring decisions reflect customer, business, operational, risk, compliance, and technology needs.
Establish product goals, objectives, key results, performance indicators, adoption measures, and value-realization routines for agent health, reliability, usage, cost, latency, resilience, quality, and business impact.
Lead product discovery and continuous research with stakeholders, users, technology partners, risk partners, and business teams to identify needs, validate problems, prioritize opportunities, and shape scalable solutions.
Translate agentic operations needs into product epics, feature priorities, acceptance criteria, operating requirements, and sequencing recommendations aligned to enterprise product practices.
Manage prioritization across agentic operations capabilities, balancing business value, customer and user impact, risk, compliance, technology complexity, cost, capacity, and strategic alignment.
Partner with technology, architecture, data, security, model governance, and platform teams to design capabilities for agent observability, orchestration, escalation, resiliency, model suitability, knowledge access, and performance monitoring.
Define and maintain operational guardrails for agent and LLM usage, including thresholds for autonomy, time, cost, risk, escalation, unsupported tool use, retries, exception handling, and business-approved use.
Oversee product requirements for controls that prevent unmanaged agent behavior, including runaway loops, excessive retries, unsupported tool use, policy exceptions, inappropriate outputs, and activity outside approved risk tolerance.
Shape resilience capabilities, including fallback paths, failover routines, continuity expectations, human-in-the-loop escalation, exception handling, and business continuity when agents, models, tools, or knowledge sources are unavailable or degraded.
Lead decisions on model suitability and routing strategy, balancing task complexity, quality expectations, latency, cost, risk, reasoning requirements, and approved model usage.
Maintain visibility into token usage, model consumption, cost trends, capacity demand, agent utilization, and workflow performance at agent, workflow, business-area, and portfolio levels.
Translate token, cost, latency, quality, risk, usage, adoption, and performance data into product recommendations, roadmap trade-offs, capacity decisions, and executive-ready reporting.
Serve as a senior product partner to technology and delivery teams, enabling sequencing, dependency management, delivery readiness, launch readiness, change adoption, and ongoing product performance improvement.
Represent Agentic Operations in governance forums, portfolio planning, risk reviews, operating routines, and senior leadership discussions.
Influence cross-functional partners without direct authority, aligning stakeholders around product priorities, risk decisions, delivery sequencing, roadmap trade-offs, and measurable outcomes.
Lead through ambiguity by establishing product structure, decision frameworks, operating standards, and practical solutions for emerging agentic AI capabilities in a regulated financial services environment.
Support execution of applicable risk programs and Wells Fargo policies and procedures, fulfill risk and compliance obligations, escalate and remediate issues, and make sound risk decisions.