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Omni-Channel Analytics Manager (AI/ML)

Disney

Marketing Jobs

Omni-Channel Analytics Manager (AI/ML)

full-timePosted: Dec 11, 2025

Job Description

Job Summary:

As an Omni Channel Analytics Manager, you will serve as a thought leader and technical expert, driving innovation in AI solutions across Disney’s digital and contact center ecosystems. You will independently design and deliver advanced analytical projects from ideation to completion, applying deep expertise in Artificial Intelligence, Machine Learning, and cutting-edge frameworks such as Agentic Frameworks and Model Context Protocol (MCP).

This role requires not only advanced technical capabilities but also the ability to shape strategy, influence stakeholders, and mentor fellow team members. You will be a key data storyteller and trusted advisor, ensuring that AI solutions are explainable, scalable, and aligned with Disney’s business objectives.

This position is an individual contributor role that reports to the Manager, Omni Channel Analytics and is based in Orlando, Florida.

What you will do:

  • Advanced AI/ML Solutions & Innovation
    • Design, architect, and deploy advanced AI/ML solutions—including Generative AI and multi-agent systems—tailored to complex business challenges.
    • Lead the exploration and application of Agentic Frameworks and Model Context Protocol (MCP) to enhance orchestration, scalability, and interoperability of AI systems.
    • Establish best practices for prompt engineering, model fine-tuning, and evaluation frameworks for responsible AI.
    • Guide the team in adopting and experimenting with emerging AI tools and technologies.
  • Strategic Analytics & Storytelling:
    • Build solutions to extract actionable insights from complex data that directly inform executive decision-making.
    • Translate complex technical outputs into clear, concise, and impactful recommendations for senior leadership.
    • Develop scalable and reproducible methodologies for insight generation and model interpretability.
  • Collaboration & Innovation:
    • Mentor and coach junior team members, fostering technical excellence and innovation across the team.
    • Partner with cross-functional stakeholders (technology, operations, marketing, and guest experience) to co-create AI solutions that improve efficiency and guest satisfaction.
    • Champion thought leadership in AI/ML within the organization, staying ahead of industry advancements and disseminating knowledge across teams.

Required Qualifications & Skills:

  • 6+ years of experience in analytics or applied data science roles.
  • Strong proficiency in Python and SQL,
  • Experience with big data platforms (e.g., Snowflake, BigQuery, Cloudera) and distributed computing frameworks (e.g., Spark).
  • Exceptional communication skills with proven ability to influence senior stakeholders.
  • Track record of leading complex projects in fast-paced, dynamic environments.

Nice-to-Haves:

  • Demonstrated expertise in Agentic Frameworks, MCP, LLMs, and Generative AI solutions.
  • Advanced knowledge in statistical modeling, NLP, clustering, and AI evaluation metrics.
  • Hands-on experience in data engineering and ML pipelines.
  • Graduate degree (MS or PhD) in Computer Science, Data Science, Statistics, or a related quantitative field.
  • Experience deploying AI/ML systems in large-scale production environments.
  • Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS, GCP), and MLOps practices.
  • Experience working with digital, contact center, and marketing data.
  • Strong background in explain ability, fairness, and responsible AI practices.

#DISNEYTECH

Apply Now

About Disney Experiences:

Disney Experiences brings the magic of Disney stories and franchises to life through theme parks, resorts, cruise ships, unique vacation experiences, products and more around the world. Disney shines in the travel industry with six resort destinations in the United States, Europe and Asia; a top-rated cruise line; a popular vacation ownership program; and an award-winning guided family adventure business. Plus, Disney's global consumer products operations include the world's leading licensing business; the world's largest children's publishing brands; one of the world's largest licensors of games across all platforms; and Disney store locations around the world and on the web.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with Disney Destinations, LLC, which is part of a business we call Disney Experiences.

Disney Destinations, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Having technical issues? View the FAQs for help.

Locations

  • Location Celebration, Florida, United States

Salary

Estimated Salary Rangemedium confidence

110,000 - 160,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep expertise in Artificial Intelligence and Machine Learningintermediate
  • Ability to shape strategy and influence stakeholdersintermediate
  • Mentoring and coaching junior team membersintermediate
  • Data storytelling and translating complex technical outputs into clear recommendationsintermediate
  • Collaboration with cross-functional stakeholdersintermediate

Required Qualifications

  • 6+ years of experience in analytics or applied data science roles (experience)
  • Strong proficiency in Python and SQL (experience)
  • Experience with big data platforms (e.g., Snowflake, BigQuery, Cloudera) and distributed computing frameworks (e.g., Spark) (experience)
  • Exceptional communication skills with proven ability to influence senior stakeholders (experience)
  • Track record of leading complex projects in fast-paced, dynamic environments (experience)

Preferred Qualifications

  • Demonstrated expertise in Agentic Frameworks, MCP, LLMs, and Generative AI solutions (experience)
  • Advanced knowledge in statistical modeling, NLP, clustering, and AI evaluation metrics (experience)
  • Hands-on experience in data engineering and ML pipelines (experience)
  • Graduate degree (MS or PhD) in Computer Science, Data Science, Statistics, or a related quantitative field (experience)
  • Experience deploying AI/ML systems in large-scale production environments (experience)

Responsibilities

  • Design, architect, and deploy advanced AI/ML solutions—including Generative AI and multi-agent systems—tailored to complex business challenges
  • Lead the exploration and application of Agentic Frameworks and Model Context Protocol (MCP) to enhance orchestration, scalability, and interoperability of AI systems
  • Establish best practices for prompt engineering, model fine-tuning, and evaluation frameworks for responsible AI
  • Guide the team in adopting and experimenting with emerging AI tools and technologies
  • Build solutions to extract actionable insights from complex data that directly inform executive decision-making

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Disney logo

Omni-Channel Analytics Manager (AI/ML)

Disney

Marketing Jobs

Omni-Channel Analytics Manager (AI/ML)

full-timePosted: Dec 11, 2025

Job Description

Job Summary:

As an Omni Channel Analytics Manager, you will serve as a thought leader and technical expert, driving innovation in AI solutions across Disney’s digital and contact center ecosystems. You will independently design and deliver advanced analytical projects from ideation to completion, applying deep expertise in Artificial Intelligence, Machine Learning, and cutting-edge frameworks such as Agentic Frameworks and Model Context Protocol (MCP).

This role requires not only advanced technical capabilities but also the ability to shape strategy, influence stakeholders, and mentor fellow team members. You will be a key data storyteller and trusted advisor, ensuring that AI solutions are explainable, scalable, and aligned with Disney’s business objectives.

This position is an individual contributor role that reports to the Manager, Omni Channel Analytics and is based in Orlando, Florida.

What you will do:

  • Advanced AI/ML Solutions & Innovation
    • Design, architect, and deploy advanced AI/ML solutions—including Generative AI and multi-agent systems—tailored to complex business challenges.
    • Lead the exploration and application of Agentic Frameworks and Model Context Protocol (MCP) to enhance orchestration, scalability, and interoperability of AI systems.
    • Establish best practices for prompt engineering, model fine-tuning, and evaluation frameworks for responsible AI.
    • Guide the team in adopting and experimenting with emerging AI tools and technologies.
  • Strategic Analytics & Storytelling:
    • Build solutions to extract actionable insights from complex data that directly inform executive decision-making.
    • Translate complex technical outputs into clear, concise, and impactful recommendations for senior leadership.
    • Develop scalable and reproducible methodologies for insight generation and model interpretability.
  • Collaboration & Innovation:
    • Mentor and coach junior team members, fostering technical excellence and innovation across the team.
    • Partner with cross-functional stakeholders (technology, operations, marketing, and guest experience) to co-create AI solutions that improve efficiency and guest satisfaction.
    • Champion thought leadership in AI/ML within the organization, staying ahead of industry advancements and disseminating knowledge across teams.

Required Qualifications & Skills:

  • 6+ years of experience in analytics or applied data science roles.
  • Strong proficiency in Python and SQL,
  • Experience with big data platforms (e.g., Snowflake, BigQuery, Cloudera) and distributed computing frameworks (e.g., Spark).
  • Exceptional communication skills with proven ability to influence senior stakeholders.
  • Track record of leading complex projects in fast-paced, dynamic environments.

Nice-to-Haves:

  • Demonstrated expertise in Agentic Frameworks, MCP, LLMs, and Generative AI solutions.
  • Advanced knowledge in statistical modeling, NLP, clustering, and AI evaluation metrics.
  • Hands-on experience in data engineering and ML pipelines.
  • Graduate degree (MS or PhD) in Computer Science, Data Science, Statistics, or a related quantitative field.
  • Experience deploying AI/ML systems in large-scale production environments.
  • Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS, GCP), and MLOps practices.
  • Experience working with digital, contact center, and marketing data.
  • Strong background in explain ability, fairness, and responsible AI practices.

#DISNEYTECH

Apply Now

About Disney Experiences:

Disney Experiences brings the magic of Disney stories and franchises to life through theme parks, resorts, cruise ships, unique vacation experiences, products and more around the world. Disney shines in the travel industry with six resort destinations in the United States, Europe and Asia; a top-rated cruise line; a popular vacation ownership program; and an award-winning guided family adventure business. Plus, Disney's global consumer products operations include the world's leading licensing business; the world's largest children's publishing brands; one of the world's largest licensors of games across all platforms; and Disney store locations around the world and on the web.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with Disney Destinations, LLC, which is part of a business we call Disney Experiences.

Disney Destinations, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Having technical issues? View the FAQs for help.

Locations

  • Location Celebration, Florida, United States

Salary

Estimated Salary Rangemedium confidence

110,000 - 160,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep expertise in Artificial Intelligence and Machine Learningintermediate
  • Ability to shape strategy and influence stakeholdersintermediate
  • Mentoring and coaching junior team membersintermediate
  • Data storytelling and translating complex technical outputs into clear recommendationsintermediate
  • Collaboration with cross-functional stakeholdersintermediate

Required Qualifications

  • 6+ years of experience in analytics or applied data science roles (experience)
  • Strong proficiency in Python and SQL (experience)
  • Experience with big data platforms (e.g., Snowflake, BigQuery, Cloudera) and distributed computing frameworks (e.g., Spark) (experience)
  • Exceptional communication skills with proven ability to influence senior stakeholders (experience)
  • Track record of leading complex projects in fast-paced, dynamic environments (experience)

Preferred Qualifications

  • Demonstrated expertise in Agentic Frameworks, MCP, LLMs, and Generative AI solutions (experience)
  • Advanced knowledge in statistical modeling, NLP, clustering, and AI evaluation metrics (experience)
  • Hands-on experience in data engineering and ML pipelines (experience)
  • Graduate degree (MS or PhD) in Computer Science, Data Science, Statistics, or a related quantitative field (experience)
  • Experience deploying AI/ML systems in large-scale production environments (experience)

Responsibilities

  • Design, architect, and deploy advanced AI/ML solutions—including Generative AI and multi-agent systems—tailored to complex business challenges
  • Lead the exploration and application of Agentic Frameworks and Model Context Protocol (MCP) to enhance orchestration, scalability, and interoperability of AI systems
  • Establish best practices for prompt engineering, model fine-tuning, and evaluation frameworks for responsible AI
  • Guide the team in adopting and experimenting with emerging AI tools and technologies
  • Build solutions to extract actionable insights from complex data that directly inform executive decision-making

Target Your Resume for "Omni-Channel Analytics Manager (AI/ML)" , Disney

Get personalized recommendations to optimize your resume specifically for Omni-Channel Analytics Manager (AI/ML). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Omni-Channel Analytics Manager (AI/ML)" , Disney

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Business Disney ExperiencesEntertainmentMediaDisneyBusiness Disney Experiences

Answer 10 quick questions to check your fit for Omni-Channel Analytics Manager (AI/ML) @ Disney.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.