Lead Product Manager, Data & AI Integration

The Walt Disney Company

Lead Product Manager responsible for strategy, roadmap and execution of AI capabilities for vendor management optimization at Disney. Collaborating with teams across finance and technology to enhance decision-making processes.

Posted 7/13/2026full-timeBurbank • California, Florida, Washington • 🇺🇸 United StatesSenior💰 $141,900 - $190,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for data integration, analytics, and AI capabilities, with a strong focus on vendor management optimization and financial transparency. Proficient in translating business needs into actionable product strategies, user stories, and measurable outcomes.

Highest-signal resume keywords

Product Vision OwnershipData Integration ExpertiseAI-Enabled SolutionsVendor Performance ManagementStakeholder Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product ManagementData AnalyticsFinancial Workflows OptimizationUser Story DevelopmentKPI TrackingCost TransparencyData Taxonomy StandardizationAI Use Case IdentificationForecastingPerformance Measurement

Soft Skills

Stakeholder ManagementCross-Functional CollaborationAdvisory SkillsCommunication SkillsChange Management

Tools & Technologies

SnowflakePower BITableauAgile Delivery Tools

Industry Keywords

Vendor ManagementFinancial TransparencyOperational ProcessesCompliance RequirementsContinuous Improvement

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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, 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.

Benefits

Comp & perks

health insurance
retirement plans
paid time off
flexible work arrangements
professional development
bonuses