Director, Platform Product Management, AI and Intelligence Platform

Vizient•Chicago, IL

2d•$117,600 - $206,000

About The Position

The Director, Platform Product Management, AI and Intelligence Platform leads the strategy, roadmap, and execution of enterprise platform products that enable scalable, secure, and AI-first software delivery. The role partners with engineering, architecture, AI Delivery, security, and product leadership to set platform investment priorities, align stakeholders, and deliver capabilities that improve developer productivity, governance, adoption, and delivery outcomes. It also influences enterprise technology decisions, guides platform product practices, and develops a high-performing team while advancing a modern, AI-enabled product management approach. The position owns platform strategy for reusable rules, workflows, decisioning, routing, approvals, and orchestration capabilities that help internal products and AI-enabled tools move from insight to action. It leads the evolution of workflow platforms, rules engines, business process automation, decisioning logic, orchestration, configuration platforms, and AI workflow enablement. Success is measured through platform adoption, governance, delivery efficiency, reduced delivery friction, faster product delivery, and AI-first delivery maturity.

Requirements

7 or more years of relevant experience.
Experience in product management, technical product management, enterprise platform products, workflow platforms, rules engines, orchestration platforms, business process automation, decisioning logic, configuration platforms, enterprise SaaS, AI workflow enablement, or enterprise technology leadership.
Proven success leading complex cross-functional platform initiatives and influencing senior stakeholders through complex stakeholder alignment.
Experience delivering enterprise platform capabilities for reusable workflows, human-in-the-loop workflows, routing, approvals, orchestration, and decisioning across multiple products.
Strong technical fluency with architecture, data platforms, AI, integrations, identity and access management, governance, internal developer platforms, and AI-assisted or agentic development practices.
Demonstrated ability to coach product managers on modern product management practices and effective AI tool adoption without unnecessary process overhead.
Experience influencing investment priorities, technical tradeoffs, internal adoption strategies, and AI-first operating model decisions.
Strong analytical, strategic thinking, problem-solving, and executive communication skills.
Experience developing scalable product management practices while maintaining a lean, high-impact operating model.

Nice To Haves

Relevant degree preferred.

Responsibilities

Define and communicate the strategic vision, roadmap, and investment priorities for enterprise platform products.
Own platform strategy for reusable rules, workflows, decisioning, routing, approvals, and orchestration capabilities supporting internal products and AI-enabled tools.
Lead the strategy, roadmap, and evolution of workflow platforms, rules engines, business process automation, decisioning logic, orchestration, configuration platforms, and AI workflow enablement capabilities.
Partner with engineering, architecture, AI Delivery, security, and product leadership to align platform capabilities with business and technology objectives and achieve cross-functional alignment.
Establish decision frameworks for sequencing platform capabilities, reducing technical debt, increasing reuse, improving internal developer productivity, and enabling AI-assisted development.
Measure and optimize platform success using adoption, governance, delivery efficiency, reduced friction, faster delivery, and AI-first delivery maturity outcomes.
Facilitate executive alignment on platform strategy, funding, dependencies, adoption expectations, and AI-first operating model evolution; translate technical concepts into business-focused recommendations.
Resolve competing priorities across platform consumers, engineering teams, AI Delivery, and strategic enterprise initiatives.
Lead, coach, mentor, and develop a small team of platform product professionals.
Establish scalable product management standards for discovery, roadmap development, success metrics, release planning, adoption strategies, and responsible AI tool usage.
Build durable partnerships across engineering, architecture, AI Delivery, security, design, and internal product teams.