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Lead Product Manager, Data & AI Integration, Technology VMO; Project

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: Disney
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst
  • Business
    Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Lead Product Manager, Data & AI Integration, Technology VMO (Project Hire)

The Lead Product Manager, Data & AI Integration, VMO Transformation will own strategy, roadmap, and execution of Technology VMO, sourcing and business management data and AI capabilities that enable vendor management optimization, cost transparency, and operational decision‑making. This is a project hire role with an expected assignment length of 24 months.

Team Description

The Technology Process and Performance organization partners across all organizations to improve process efficiencies and effectiveness by measuring performance and driving excellence. Within this mission, the Technology Vendor Management Office (VMO) enhances the efficiency and effectiveness of vendor‑related processes across the organization by leveraging data‑driven insights to optimize vendor management, streamline operations, and support informed decision‑making.

What You’ll Do
  • Own the product vision, strategy, and roadmap for data integration, analytics, and AI capabilities supporting vendor management optimization and cost transparency.
  • Drive outcome based prioritization across initiatives (e.g., cost transparency, spend visibility, performance insights, workflow automation), balancing stakeholder needs, feasibility, and measurable impact.
  • Translate business and operational needs into epics, user stories, acceptance criteria, and a prioritized backlog, partnering with delivery teams through refinement and release planning.
  • Define and deliver product capabilities that enable vendor performance visibility, portfolio insights, and spend transparency, including clear success criteria and user outcomes.
  • Define data requirements and integration needs, enabling reliable, analytics‑ready views across systems to support planning, forecasting, and performance tracking.
  • Support delivery of AI‑assisted capabilities (e.g., forecasting, anomaly detection, insight summarization) within established platforms, standards, and guardrails.
  • Lead ongoing backlog management, UAT, and release readiness, accountable for adoption and delivery of measurable business outcomes.
  • Communicate product plans, trade‑offs, risks, and insights clearly to business and technical stakeholders.
  • Facilitate alignment across cross‑functional partners with differing priorities through structured discussions and clear decision framing.
  • Support governance, controls, and compliance requirements related to data, financial transparency, and operational processes.
  • Help drive adoption of new product capabilities and workflows through clear documentation, enablement, and change support.
  • Contribute to risk mitigation and continuous improvement through standards, transparency, KPI tracking, and post‑implementation review.
Required Qualifications & Skills
  • Minimum of 7+ years of technical product management or relevant experience.
  • Demonstrated experience owning product vision, strategy, and roadmaps for data integration, analytics, and AI‑enabled solutions within a defined product area.
  • Strong background in standardizing, automating, and optimizing vendor management and financial workflows to improve efficiency and transparency.
  • Ability to design and deliver capabilities for vendor performance management, portfolio optimization, and spend visibility.
  • Experience supporting cost transparency and auditable financial processes, including demand, consumption, and cost tracking.
  • Skilled in establishing standardized data taxonomies and definitions to enable consistent reporting and AI readiness.
  • Proficient in defining data integrations and analytics to support planning, forecasting, and performance measurement.
  • Ability to identify, prioritize, and help deliver business relevant, explainable AI use cases aligned to operational and financial needs.
  • Strong execution skills, including translating requirements into user stories, acceptance criteria, and prioritized backlogs.
  • Experience measuring post‑implementation impact, such as improvements in cost transparency, forecast accuracy, and decision speed.
  • Strong advisory, communication, and stakeholder management skills, with comfort supporting executive‑level reporting and cross‑functional collaboration.
  • Solid understanding of financial controls,…
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