Director, Applied AI Product Manager

Role Overview:

As Director, Applied AI Product Manager, you will define and drive the strategy for AI-powered process transformation across enterprise functions. You will lead cross-functional teams to design, build, and scale agentic and intelligent automation solutions that reduce risk, improve operational efficiency, and enhance client experiences. You will operate at the intersection of Product, Engineering, Data Science, Operations, Risk, and Compliance—ensuring solutions are secure, explainable, scalable, and production-ready.

In this role, you’ll make an impact in the following ways:

Product Vision & Strategy

Define and own the product vision, strategy, and roadmap for AI-driven business process transformation initiatives with key business stakeholders
Responsible for client segment strategies, market/competitive analysis, pricing, commercialization and GTM, revenue/organic growth objectives
Align roadmap priorities to enterprise modernization, AI strategy, and operational efficiency objectives
Identify high-value opportunities for AI, intelligent automation, LLMs, and agentic architectures to eliminate manual workflows and enhance decision intelligence (transform business processes into digital products)
Translate ambiguous, complex business problems into clear product tenets, PR/FAQs, and scalable execution plans
Champion an AI-first mindset across the organization, embedding modern product thinking and experimentation frameworks

AI-Native Process Reimagination at Scale

Oversee orchestration frameworks spanning:
Event-driven architecture
APIs and microservices
Workflow engines and state management
Metadata-aware retrieval systems
Multi-agent coordination models
Balance innovation velocity with enterprise-grade reliability and governance
Partner with Engineering and Data Science to operationalize AI at scale, incorporating model lifecycle management, observability, guardrails, and performance optimization
Ensure responsible AI governance, addressing bias, explainability, privacy, data security, and operational resilience

Execution & Cross-Functional Delivery

Influence senior executives on investment prioritization and enterprise adoption
Translate complex AI and agentic concepts into clear, outcome-driven business narratives
Drive adoption through executive storytelling and structured change management
Lead a high-performing product team with strong systems-thinking capabilities
Remove blockers, align stakeholders, and ensure consistent value delivery across concurrent workstreams
Enterprise & Stakeholder Leadership

Partner with senior executives and enterprise stakeholders to align AI strategies with business objectives
Role model practice proficiency + liaison responsibilities across product, design, engineering, and commercial practices to communicate vision, strategy, progress, and measurable impact to leadership
Drive field-to-product feedback mechanisms to continuously refine AI solutions for enterprise-grade performance
Enable adoption through playbooks, governance frameworks, and change management strategies
Impact Measurement & Outcomes

Define and track clear success metrics including:
Multi-product portfolio integration, trade-off decisioning, portfolio scorecards and enterprise checkpoints (OKRs, controls)
Productivity gains and operational efficiency improvements (e.g., 20-50% time reduction)
Cost savings and automation impact
Risk mitigation and compliance enhancements
Client experience and engagement growth
Demonstrate measurable business impact through scalable AI platforms and intelligent workflow transformation
To be successful in this role, we’re seeking the following:

Required

Bachelor's degree in STEM, Economics, or related discipline
~10+ years of progressive experience in Applied AI product management, program leadership, or AI-driven platform delivery
Strong understanding of:
Generative AI and LLM-powered systems
Agentic architectures and orchestration frameworks
Distributed systems and microservices
Event-driven design
APIs and integration layers
Metadata indexing and retrieval systems
AI lifecycle management and model performance metrics
Experience operationalizing enterprise-grade AI systems with:
Secure tenant-aware access controls
Observability and telemetry
Production reliability standards
Demonstrated ability to influence senior leadership and drive alignment across large organizations

Preferred

Experience in highly regulated industries
Experience operationalizing AI solutions for Big Tech or Fortune 500 enterprises
Certifications: CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, Generative AI specialization.
Advanced degree preferred