GenAI Product Leader – Agentic AI

• Define and scale enterprise Agentic AI capabilities and their operating model, ensuring consistent, secure deployment with measurable business value
• Own the product vision, roadmap, and multi-release delivery plan for agent creation, execution, and orchestration platforms, leveraging multimodal inputs, semantic understanding, and deterministic + LLM hybrid approaches
• Define the end-to-end value stream from observation and insight generation through optimization and autonomous execution
• Establish enterprise patterns for signal-to-workflow and signal-to-API code generation, enabling reuse and accelerated automation velocity at scale
• Work directly with internal customers and stakeholders to rapidly design, build, and deploy production-grade AI systems that solve real business problems
• Work closely with engineering teams and customers to turn emerging AI tools into practical, usable solutions that align with how teams actually work
• Ensure deployed solutions operate safely within enterprise environments, scale reliably, and demonstrate clear, quantifiable outcomes
• Translate deployment learnings into reusable patterns, standards, and platform enhancements that strengthen the broader product ecosystem
• Own enterprise strategy for multimodal signal capture and insight generation, including telemetry ingestion, interaction analysis, persona configuration, clickstream processing, and structured data generation
• Develop enterprise guidelines for process mapping, process mining, behavioral clustering, and insight generation to drive systematic identification of automation opportunities
• Define requirements for core platform services such as structured insight extraction, ontology generation, clickstream mapping, knowledge graph development, context engineering, and automated agent workflow generation
• Lead cross-functional product delivery teams (AI Engineering, Data Science, Platform Engineering, Process Intelligence) to deliver capabilities such as multimodal ingestion and interpretation, SOP and workflow generation, semantic graph construction, workflow translation and validation, multi-agent orchestration and execution monitoring
• Shape and run agentic experimentation and incubation frameworks, partnering with technology organizations on infrastructure needs (e.g., Cloud PC, digital identity, containerized deployments)
• Define control, compliance, and governance requirements, including PII redaction, safe-use patterns, auditability, and model assurance workflows
• Establish quality and reliability standards, including hallucination controls, analyst-in-the-loop gates, execution rollback, SLA breach alerts, and enterprise observability
• Establish enterprise release, change-management, onboarding, and adoption routines, ensuring organizational readiness and sustained value realization
• Act as a trusted advisor to senior leadership to develop or influence digital products, initiatives, plans, specifications, resources, and long-term objectives
• Lead the strategy and resolution of highly complex, enterprise-wide challenges requiring deep evaluation across business and technology domains
• Provide vision, direction, and expertise to leadership on significant digital and AI-driven transformation initiatives
• Coordinate highly complex activities and provide guidance to leaders and teams across the enterprise
• Serve as an expert advisor to leadership on Agentic AI, automation strategy, and platform-led transformation

Overall 17+ years of industry experience including 7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Technical Mastery: Agent architectures, generative and multimodal AI workflows, automation design, platform services
• Product Leadership: Proven ability to define, deliver, and scale enterprise-grade digital and AI platforms
• Systems Thinking: Designs secure, governed, and operationally scalable AI systems
• Influence: Shapes executive and technical decision-making across complex organizations
• Execution Excellence: Delivers large-scale, high-impact capabilities across multiple engineering teams