Senior Lead Digital Product Manager- Agentic Operations

About this Role: 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. In this role, you will: 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