Finance Transformation Manager (Project Hire)

The Walt Disney Company • Burbank, CA

6d • $141,300 - $172,500

About The Position

The Finance Transformation Manager coordinates and manages global finance integration and transformation efforts in support of Disney’s Future-Fit Finance Organization. The role leads the strategy, design, and implementation of enterprise data capabilities across Disney Entertainment and the broader enterprise, connecting business architecture, data strategy, product ownership, technical delivery, and finance process transformation.

The initial focus is implementing a Finance Data Layer: a scalable data lakehouse that provides trusted, governed, analytics-ready data to Finance systems and applications, including enterprise performance management, business intelligence reporting and analytics, and AI and machine learning use cases. The position leads data strategy and implementation roadmaps, translates Finance needs into business and technical specifications, partners with stakeholders and engineering teams to deliver end-to-end data solutions, and manages priorities, measures, risks, and outcomes across the delivery lifecycle.

This is a full-time project-hire position through April 1, 2028. The hiring range in Burbank, California is $141,300–$172,500 per year. A bonus and/or long-term incentive units may be provided, in addition to the full range of medical, financial, and/or other benefits, depending on the level and position offered.

Requirements

• 5+ years of progressive experience in enterprise data strategy, data platform implementation, data product delivery, Finance Transformation, or related technology transformation roles.
• Experience leading complex, cross-functional data implementation initiatives from strategy and requirements through delivery, validation, adoption, and operational support.
• Strong understanding of enterprise data platforms, modern data stack concepts, cloud data architecture, data lakehouse patterns, and scalable data pipeline delivery.
• Working knowledge of Finance processes, including planning, forecasting, reporting, performance management, financial data definitions, and how data enables modern Finance capabilities.
• Experience translating business needs into functional and technical requirements, data models, source-to-target mappings, implementation plans, and user acceptance criteria.
• Experience partnering with engineers and architects on data ingestion, ETL/ELT pipelines, dimensional modeling, medallion architecture, data quality, access controls, and production-ready datasets.
• Strong project and delivery leadership skills, including roadmap development, prioritization, dependency and risk management, stakeholder alignment, and delivery governance.
• Excellent communication skills and ability to engage business and technical audiences, including senior leaders, Finance stakeholders, architects, engineers, analysts, and external partners.
• Collaborative, detail-oriented, deliverable-focused approach, with the ability to navigate ambiguity, resolve complex issues, and manage multiple priorities in a fast-paced environment.
• Bachelor’s degree in Finance, Accounting, Computer Science, Information Systems, Engineering, Data Analytics, or a comparable field, and/or equivalent work experience.

Nice To Haves

• Experience with enterprise data domains; Finance data experience is strongly preferred.
• Experience with Snowflake, Databricks, SAP systems such as S/4, BW, HANA, or BDC, and EPM platforms such as Oracle EPM.
• Experience with BI and visualization tools such as Tableau and Power BI.
• Experience with data governance, master data management, metadata management, data quality frameworks, and role-based access controls.
• Familiarity with dbt, Python, Airflow, SQL, Java, CI/CD practices for data, and performance optimization for cloud data platforms.
• Experience in entertainment, streaming, media, or similarly complex global business environments.
• Formal project management, Agile, Six Sigma, consulting, PMP, MBA, CPA, or related transformation credentials.

Responsibilities

• Lead the data strategy and implementation roadmap for enterprise Finance data capabilities, aligning them with Finance Transformation priorities, company-wide data strategies, and long-term technology architecture.
• Drive implementation of a Finance Data Layer or data lakehouse supporting EPM, BI reporting and analytics, AI/ML applications, and other Finance platforms and services.
• Translate Finance planning, forecasting, reporting, and operational needs into business and technical requirements, user stories, data product specifications, and implementation plans.
• Partner with business stakeholders, product teams, delivery managers, solution architects, engineers, analytics teams, and support operations to deliver scalable, governed, business-ready data solutions.
• Support cross-functional teams through the delivery lifecycle, from data source discovery and ingestion design through modeling, transformation, validation, UAT, deployment, and operational support.
• Coordinate and guide engineering work to build platform capabilities, including ingestion pipelines, medallion architecture, dimensional models, data quality frameworks, security standards, and ready-to-use datasets.
• Define and manage platform and program priorities, balancing business value, timelines, technical debt, stability, cost optimization, and enhancement needs.
• Establish success measures for data capabilities, including data quality and availability, query performance, user adoption, milestones, cost efficiency, and business outcomes.
• Support Finance Transformation by connecting process optimization, business capability design, and data implementation across Disney Entertainment and enterprise Finance teams.
• Communicate complex data and technology concepts, decisions, risks, tradeoffs, and next steps to executive, business, functional, and technical audiences.

Benefits

• Medical benefits
• Financial benefits
• Other benefits
• A bonus and/or long-term incentive units may be provided as part of the compensation package, depending on the level and position offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager