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

Job in Minneapolis, Hennepin County, Minnesota, 55435, USA
Listing for: Vizient
Full Time position
Listed on 2026-07-12
Job specializations:
  • IT/Tech
    AI Business & Operations, Data Engineering
Job Description & How to Apply Below

Job Title

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Job Description

In this role, you will lead the strategy, prioritization, and evolution of one or more major internally facing platform domains. You will own the internal data platform capabilities that make data reliable, reusable, and accessible across Vizient Intelligence products, including data ingestion, cross-cutting data services, the Enterprise Data Layer (EDL), data quality, and source onboarding. 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.

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.
  • Build 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.
  • Proven success leading complex cross-functional platform initiatives, developing platform roadmaps, and influencing senior stakeholders to align investment…
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