At Disney, we?re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) 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 that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences ? and we?re constantly looking for new ways to enhance these exciting experiences.
As an Omni Channel Analytics Manager, you will serve as a thought leader and technical expert, driving innovation in AI solutions across Disney Experiences consumer 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:
- 7+ 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, Google Cloud Platform), and MLOps practices.
- Experience working with digital, contact center, and marketing data.
- Strong background in explain ability, fairness, and responsible AI practices.
#DISNEYTECH
The hiring range for this position in Orlando, Florida is $130,000-$160,000 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.
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