Lead/Director, Platform Product Management - Data Platform & Operations

Responsibilities

• Lead strategy, prioritization, and roadmap alignment across multiple internal platform capability areas.
• Own the strategy, roadmap, and evolution of internal data platform capabilities, including data ingestion, cross-cutting data services, the Enterprise Data Layer (EDL), data quality, metadata management, governance capabilities, and source onboarding.
• Partner with Vizient Intelligence engineering, AI Delivery, architecture, security, and product leadership to define platform investment priorities.
• 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.
• Align platform roadmaps with measurable outcomes, including reduced delivery friction, increased platform adoption, stronger governance, faster product delivery, and improved AI-first delivery maturity.
• Drive platform capabilities that improve the reliability, accessibility, and reuse of enterprise data across Vizient Intelligence products.
• Collaborate closely with data engineering teams to define platform capabilities that support scalable, high-quality, and governed data solutions.
• Facilitate executive stakeholder alignment on platform direction, funding, dependencies, tradeoffs, adoption expectations, and AI-first operating model changes.
• Represent platform product priorities in leadership forums by translating technical platform strategies into business-relevant decisions and resolving complex cross-functional priorities.
• Guide and develop a small team of platform product professionals through coaching, mentorship, and professional development.
• Establish lightweight platform product management standards, including discovery practices, roadmap narratives, success measures, prompt and context patterns, release planning, adoption planning, and responsible AI tool usage.
• Facilitate strong partnerships across engineering, AI Delivery, architecture, security, design, and internal product teams to enable consistent platform adoption and delivery outcomes.

Qualifications

• Relevant degree preferred.
• 7 or more years of relevant experience required.
• Experience in 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.
• Demonstrated experience managing enterprise data platform capabilities, including data ingestion, Enterprise Data Layer (EDL), cross-cutting data services, data quality, metadata management, source onboarding, and data governance.
• Experience partnering with data engineering, architecture, AI Delivery, and engineering teams to define and deliver scalable platform capabilities.
• Prominent success leading complex cross-functional platform initiatives, developing platform roadmaps, and influencing senior stakeholders to align investment priorities and technical decisions.
• Strong technical fluency across architecture, data, AI, integration, identity and access management, governance, internal developer workflows, and agentic or AI-assisted development practices.
• Knowledge of healthcare data ecosystems and enterprise data management principles preferred.
• Demonstrated ability to coach product teams in modern product management practices while leveraging AI tools effectively without creating unnecessary process overhead.
• Ability to influence enterprise investment priorities, technical tradeoffs, internal adoption strategies, and AI-first operating model decisions.
• Strong technical stakeholder management, communication, strategic thinking, and leadership skills with the ability to build scalable product management practices while maintaining a lean operating model.
• Experience developing high-performing teams and fostering collaboration across engineering, AI Delivery, architecture, security, design, and internal product organizations.