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

Dormont Manufacturing Co

Burbank (CA)

On-site

USD 141,900 - 190,300

Full time

14 days+

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Benefits offered by this job

Medical benefits
Bonus potential
Flexible work environment

Job summary

Dormont Manufacturing Co is seeking a Lead Product Manager for Data & AI Integration based in Burbank, CA. This role will own the product strategy and roadmap for the Technology Vendor Management Office, focusing on optimizing vendor management through analytics and AI capabilities.

The ideal candidate should have over 7 years of technical product management experience, a strong understanding of financial workflows, and experience delivering AI-enabled solutions. This position is a project hire expected to last 24 months, with a competitive salary range of $141,900 to $190,300.

Qualifications

  • 7+ years of experience in technical product management.
  • Experience owning product vision for data and AI solutions.
  • Strong background in optimizing vendor management workflows.

Responsibilities

  • Own product vision and roadmap for data integration and AI.
  • Drive prioritization across initiatives for vendor management.
  • Translate business needs into actionable user stories and backlog.

Skills

Technical product management
Data integration
AI-enabled solutions
Vendor management
Financial workflows

Education

Bachelor’s degree in relevant field

Tools

Power BI
Snowflake
Tableau

Job description

Job Posting Title:

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

Req ID:

10149245

Job Description:

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 to leveragedata-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.
  • 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 of7+ 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, 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 using Power 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 as Alation.
  • Familiarity with adjacent enterprise data platforms such as Databricks.
  • Experience working within enterprise data governance, security, and confidentiality standards.
  • Experience with complex contract billing structures (Fixed vs. Variables and Resource Units measurement), and deep expertise in process and tools leveraged for vendor reporting and invoicing.
  • Advanced degree (e.g., MBA, MS)preferredbut notrequired.
Education
  • Bachelor’s degree in Business, Technology, Computer Science, Information Systems, Engineering, or comparable field of study, and/or equivalent work experience

#DISNEYTECH

The hiring range for this position in Burbank, CA is $141,900 to $190,300 per year, in Orlando, FL is $135,200 to $181,200 per year and in Seattle, WA is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Enterprise Technology and Data

Job Posting Primary Business:

Technology Processes & Performance

Primary Job Posting Category:

Product Management Solutions

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Burbank, CA, USA

Alternate City, State, Region, Postal Code:

USA - FL - Kirkman Point 1, USA - WA - 925 4th Ave

Date Posted:

2026-05-12

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