Senior Lead Digital Product Manager- Agentic Operations

Wells Fargo•Minneapolis, MN

4d•$159,000 - $279,000

About The Position

The Senior Lead Digital Product Manager for Agentic Operations will serve as the strategic product owner for enterprise AI agent operating capabilities that support Marketing business operations. This role is accountable for defining the product vision, strategy, roadmap, controls, performance measures, and adoption approach for agentic operations capabilities that enable reliable, measurable, compliant, and scalable business outcomes. This individual contributor role requires advanced product management expertise, senior stakeholder influence, strong risk and control judgment, and the ability to translate emerging AI and agentic operating concepts into practical enterprise capabilities. The role will partner across product, technology, design, analytics, risk, compliance, legal, operations, and business leadership to shape the operating model for AI agents and ensure agentic solutions are governed, observable, resilient, and aligned to business priorities.

Requirements

7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
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 the ability to translate 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 product 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 product capabilities that support resilience, 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 by 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 the agent, workflow, business area, and portfolio level.
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.