Sr Mgr, Software Engineering

Job Posting Title:

Sr Mgr Software Engineering

Req ID:

Job Description:

At Disney Experiences Technology our team creates world-class immersive and digital experiences for the Companys vacation brands Disneys Parks and Resorts worldwide Disney Cruise Line Aulani A Disney Resort & Spa and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment Food & Beverage Resorts & Transportation and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey Disney!

Our team delivers large-scale data-driven initiatives that enable business insight operational efficiency and enterprise-wide value across Disney Experiences. The DX Transformation Delivery Management Organization (DMO) partners closely with Business Functional Teams Product Engineering Architecture and Technology leaders to execute complex initiatives that accelerate value by enabling data analytics and AI-ready capabilities at scale.

The Senior Manager AI Delivery Execution sits at the leading edge of the DX Technology Transformation team responsible for embedding AI and automation into every transformation initiative to drive scaled compounding value over time. They will identify high-impact opportunities building business cases designing solutions and driving execution through to production fully integrated into the platforms processes and workflows that power the DX segment. The role requires deep technical expertise in AI and automation a strong focus on measurable outcomes and the leadership presence to influence senior stakeholders drive adoption and build a high-performing team that consistently delivers at the edge of whats possible.

What Youll Do

• Define and own the AI and automation strategy prioritizing and delivering use cases aligned to business goals while leading endtoend executionfrom definition and design through engineering testing integration and production deployment within transformation programs.
• Design reusable AI and automation accelerators patterns frameworks and components that can be deployed across multiple DX businesses functions and programs compounding value at the segment level.
• Partner with technology teams to align on AI capability roadmaps data readiness requirements and the governance model for AI tools built on the centralized data platform.
• Establish delivery standards for AI and automation engineering including solution design model governance testing rigor deployment reliability and production monitoring ensuring quality and sustainability at scale.
• Accountabile for engineering quality technical standards and scalable solution delivery
• Lead manage and develop a high-performing team providing clarity of direction technical mentorship and accountability for delivery excellence.
• Serve as a trusted strategic partner to senior business leaders across Finance HR and other functional areas helping them understand what AI can and cannot do building realistic expectations and co-designing solutions that drive adoption and lasting value.
• Communicate AI and automation strategy progress and outcomes to executive audiences including Directors VPs and SVPs through clear business-grounded narratives that connect technical work to segment-level value.

Required Qualifications & Skills

• 10 years of experience in AI machine learning data engineering or automation with at least 3 years in a leadership role managing technical teams in an enterprise environment.
• Proven delivery record taking AI and automation capabilities from concept through production in complex matrixed organizations with demonstrated measurable business outcomes.
• Deep technical fluency in applied AI/ML including large language models generative AI agentic workflows machine learning pipelines and enterprise automation patterns (RPA workflow orchestration intelligent process automation).
• Strong business value orientation: the ability to translate technical AI capability into a clear business case quantify potential value and track realized outcomes against that case post-deployment.
• Experience designing and deploying reusable AI/automation frameworks or accelerators that scale across multiple programs functions or business units not just one-off point solutions.
• Demonstrated ability to integrate AI and automation capabilities into enterprise data platforms operational systems and business workflows not just build them in isolation.
• Strong cross-functional leadership skills including the ability to influence senior stakeholders without authority navigate organizational complexity and drive alignment across diverse teams.
• Experience managing and developing technical teams including performance management career development and building a culture of delivery excellence and continuous learning.
• Executive-level communication skills: comfortable translating complex AI concepts into business language for VP and SVP audiences and building the credibility to be a trusted advisor on AI strategy.
• Experience working in a segment-wide or enterprise-wide context where solutions must scale across multiple business units with differing operational models and technology landscapes.

Technical Expertise

AI & Machine Learning

• Applied experience with large language models (LLMs) generative AI retrieval-augmented generation (RAG) and agentic AI frameworks in enterprise production environments.
• Proficiency with ML lifecycle management including model training evaluation deployment monitoring and responsible AI governance (bias fairness explainability).
• Familiarity with AI platforms and tooling such as Azure OpenAI AWS SageMaker Databricks or equivalent enterprise AI infrastructure.

Automation & Integration

• Hands-on experience with enterprise automation patterns including RPA workflow orchestration (e.g. Apache Airflow Azure Logic Apps) and intelligent process automation.
• Experience integrating AI and automation capabilities with enterprise data platforms ERP/EPM systems and operational workflows.
• Familiarity with data engineering fundamentals pipelines transformation data quality and the data readiness requirements that underpin AI effectiveness.

Platforms & Tooling

• Experience with cloud-native data and AI platforms (Azure AWS GCP) and modern data platform architectures (lakehouses data meshes semantic layers).
• Familiarity with BI and analytics tooling (Tableau Power BI) and how AI-generated insights are surfaced and consumed by business users.
• Proficiency with delivery and collaboration tools including Jira Confluence and Smartsheet.

Preferred Qualifications

• Experience in a theme park hospitality retail or large-scale consumer operations environment where AI and automation were applied to operational efficiency or financial insight use cases.
• Experience building AI capabilities on top of a centralized data platform or data lakehouse architecture.
• Familiarity with enterprise performance management (EPM) systems and the data and AI use cases they enable.
• Experience delivering AI programs with international scope including awareness of regional data privacy regulations (GDPR PDPA PIPL) and cross-border data governance.
• Prior experience operating as the AI center of excellence function within a large organization establishing standards governance and a use-case pipeline.

Education

• Bachelors degree in Computer Science Data Science Engineering Mathematics or a related technical discipline plus 10 years of relevant experience or
• Masters degree (preferred) in a relevant technical or quantitative field plus 8 years of relevant experience or
• Equivalent combination of education and professional experience demonstrating M2-level technical leadership in AI and automation.

#DISNEYTECH

#LI-AF2

The hiring range for this position in FL is $179500.00-$240600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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:

DX Technology

Job Posting Primary Business:

Disney Signature Experiences

Primary Job Posting Category:

Software Engineer

Employment Type:

Full time

Primary City State Region Postal Code:

Orlando FL USA

Alternate City State Region Postal Code:

Date Posted:

Required Experience:

Manager