Lead Product Manager, Data & AI Integration, Technology VMO (Project Hire)

At Disney,we'restorytellers. We make theimpossible,possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion thatremainsour touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news,moviesand a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - andwe'reconstantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology & Data mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation.

Team Description:

The Technology Process and Performance organization partners across all organizations to drive process efficiencies and effectiveness by measuring the organization's performance and driving excellence. As part of the TP&P team, the Technology Vendor Management Office (VMO) is dedicated to enhancing the efficiency and effectiveness of vendor-related processes across our organization. As part of this mission, the VMO aims toleveragedata-driven insights tooptimizevendor management, streamline operations, and support informed decision-making.

TheLeadProduct Manager, Data & AI Integration, VMO Transformation owns the strategy, roadmap, and execution of the Technology VMO, Sourcing and Business Management data and AI capabilities that enable vendor management optimization, cost transparency, and operational decision making.

TheLeadProduct Manager, Data & AI Integration, VMO Transformation focuses on deliveringend-to-endvisibility into demand, spend, cost drivers, and performance, enabling leaders to manage vendor portfolios with greater financial discipline and clarity. Operating as a senior individual contributor, this role partners across VMO, finance, sourcing, business operations, and technology to translate complex cost, demand, and performance needs into durable data and AI enabled product capabilities, integrating the enterprise data & AI strategy to drive standardization, transparency, and optimization across vendor related operations while reducing manual effort and reconciliation.

This is a project hire role with an expected assignment length of24 months.

WhatYou'llDo:

• Own the product vision, strategy, and roadmap for data integration, analytics, and AI capabilities supporting vendor management optimization and cost transparency.

• Driveoutcome basedprioritization 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,analyticsreadyviews across systems to support planning, forecasting, and performance tracking.

• Support delivery ofAIassistedcapabilities (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,tradeoffs, risks, and insights clearly to business and technical stakeholders.

• Facilitate alignment acrosscrossfunctionalpartners 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 driveadoptionof new product capabilities and workflows through clear documentation, enablement, and change support.

• Contribute to risk mitigation and continuous improvement through standards, transparency, KPI tracking, andpostimplementationreview.

Required Qualifications & Skills:

• Minimum of7 years of technical product management or relevant experience.

• Demonstrated experience owning product vision, strategy, and roadmaps for data integration, analytics, andAIenabledsolutions within a defined product area.

• Strong background in standardizing, automating, andoptimizingvendor 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 inestablishingstandardized 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 toidentify, prioritize, and help deliverbusiness 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 measuringpostimplementationimpact, such as improvements in cost transparency, forecast accuracy, and decision speed.

• Strong advisory, communication, andstakeholder managementskills, with comfort supportingexecutivelevelreporting andcrossfunctionalcollaboration.

• Solid understanding of financial controls, auditability, security, and responsible data and AI usage in enterprise settings.

• Ability to define,monitor, and support continuous improvement using KPIs related to cost transparency, vendor performance, and optimization outcomes.

• Experience working with data products delivered on Snowflake, including understanding how data is modeled, governed, and consumed for analytics, reporting, and operational insights.

• Experience partnering with analytics teams to deliver dashboards and KPIs usingPower BI and/or Tableau, including defining requirements, metrics, and consumption patterns.

• Experience managing product roadmaps, backlogs, user stories, and delivery artifacts using standard product management and Agile delivery tools.

Preferred Qualifications:

• Experience with leading complex integration of data products.

• Familiarity using enterprise data catalogs such asAlation.

• Familiarity with adjacent enterprise data platforms such asDatabricks.

• Experience working within enterprisedata governance, security, and confidentialitystandards.

• Experience with complex contract billing structures (Fixed vs. Variables and Resource Units measurement), and deepexpertisein process and toolsleveragedfor vendor reporting and invoicing.

• Advanced degree (e.g., MBA, MS)preferredbut notrequired.

Education:

• Bachelor's degree in Business, Technology, Computer Science, Information Systems, Engineering, orcomparable field of study, and/or equivalent work experience

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