Lead​/Director, Platform Product Management Semantic Layer

Overview

Summary:

In this role, you will lead the strategy, prioritization, and evolution of one or more major internally facing platform domains. You will own how Vizient organizes, connects, and interprets knowledge across products, including semantic models, knowledge services, matching logic, and AI‑ready context layers. You will align platform investments with enterprise priorities, engineering capacity, AI Delivery strategy, architecture direction, and AI‑first product delivery practices while partnering across cross‑functional teams to improve internal developer productivity, accelerate product delivery, and enable scalable, secure, and reusable platform capabilities.

• Lead strategy, prioritization, and roadmap alignment across multiple internal platform capability areas, including semantic models, knowledge services, matching logic, AI‑ready context layers, and related platform capabilities.
• Partner with Vizient Intelligence engineering, AI Delivery, architecture, security, and product leadership to define platform investment priorities and long‑term platform strategy.
• Establish decision frameworks that sequence platform capabilities, address technical debt, improve platform reuse, enhance internal developer productivity, and support AI‑assisted and agentic development workflows.
• Drive the evolution of semantic layers, metadata, ontologies, taxonomies, entity resolution, and reusable knowledge services that improve consistency, interoperability, and AI enablement across products.
• Develop platform capabilities that support enterprise data products, intelligent search and retrieval, healthcare domain modeling, and AI‑ready contextual experiences.
• Align platform roadmaps with measurable outcomes including reduced delivery friction, increased adoption, stronger governance, faster product delivery, and improved AI‑first delivery maturity.
• Facilitate executive stakeholder alignment on platform direction, funding, dependencies, tradeoffs, adoption expectations, and AI‑first operating model changes while representing platform priorities in leadership forums.
• Resolve complex cross‑functional priorities across engineering, AI Delivery, architecture, product, and platform consumers by translating technical strategy into business‑relevant decisions.
• Guide and develop a small team of platform product professionals while establishing lightweight product management standards, discovery practices, roadmap narratives, success measures, prompt and context patterns, release planning, adoption planning, and responsible AI tool usage.
• Build strong partnerships across engineering, AI Delivery, architecture, security, design, and internal product teams to drive platform adoption and consistent delivery outcomes.

• Relevant degree preferred.
• 7 or more years of relevant experience required.
• Experience leading product management, technical product management, enterprise platform products, data and analytics platforms, AI/ML products, developer platforms, AI‑enabled software delivery, or enterprise technology initiatives.
• Experience managing semantic platforms, knowledge services, semantic layers, knowledge graphs, ontologies, taxonomies, metadata, entity resolution, and enterprise knowledge management capabilities.
• Experience defining and delivering platform roadmaps that support AI/ML enablement, enterprise data products, intelligent search and retrieval, AI‑ready context layers, and cross‑functional platform strategy.
• Experience partnering with engineering, AI Delivery, architecture, and product leadership to deliver enterprise platform capabilities and influence platform investment priorities.
• Knowledge of healthcare data, healthcare domain modeling, enterprise information architecture, governance, and reusable platform capabilities preferred.
• Proven success leading complex cross‑functional platform initiatives, influencing senior stakeholders, and driving enterprise adoption.
• Strong technical fluency across architecture, data, AI, integration, identity and access management, governance, internal developer workflows, and agentic or AI‑assisted development practices.
• Demonstrated leadership, communication, strategic thinking, technical stakeholder management, and coaching skills with the ability to build scalable product management practices, influence technical tradeoffs and AI‑first operating model decisions, and maintain a lean, high‑impact operating model.

Estimated hiring range: $ to $. This position is also incentive eligible.

Females/Minorities/Veterans/Individuals with Disabilities:
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.