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Executive Disney Data Science Jobs (NOW HIRING)

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

RELX

Manager Data Science

Philadelphia, PA

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

Fannie Mae

Audit Data Science Advisor

Washington, DC

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Fanniemae

Audit Data Science Advisor

Washington, DC

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

The Jacobson Group

$175K - $200K/yr

... Science Director ... This individual will translate data into actionable strategies for the executive leadership team.

Fanniemae

Audit Data Science Advisor

Reston, VA · On-site

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Formation Bio

Director, Data Science

Boston, NY

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Present complex analytical findings to senior stakeholders, including executive leadership About ...

Five9

OR

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... Internally, you will be expected to meet with product managers, executives and estaff, and be able ...

Five9

Vice President, Data Science

The data science team is very much applied - their work directly makes its way into real products ... Internally, you will be expected to meet with product managers, executives and estaff, and be able ...

Five9

Vice President, Data Science

San Ramon, CA

The data science team is very much applied - their work directly makes its way into real products ... Internally, you will be expected to meet with product managers, executives and estaff, and be able ...

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All JobsDisney Data Science JobsExecutive Disney Data Science Jobs

Executive Disney Data Science information

See salary details

$26.5K

$93.6K

$184K

How much do executive disney data science jobs pay per year?

As of Jul 20, 2026, the average yearly pay for executive disney data science in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Disney Data Science vs Disney Data Scientist?

AspectExecutive Disney Data ScienceDisney Data Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentStrategic leadership, cross-department collaborationData analysis, model development, technical tasks
Employer & Industry UsageExecutive roles in entertainment and media companiesTechnical roles within Disney's analytics and data teams
Common Search & ComparisonYesYes

The main difference between Executive Disney Data Science and Disney Data Scientist lies in their responsibilities and experience levels. Executives focus on strategic decision-making and leadership, often requiring advanced degrees and extensive industry experience. Data Scientists handle technical tasks like data analysis and modeling, typically with a strong technical background. Both roles are integral to Disney's data-driven initiatives but differ significantly in scope and seniority.

How do Executive Disney Data Science professionals typically collaborate with creative and business teams to drive data-informed decisions?

Executive Disney Data Science professionals frequently work cross-functionally, partnering closely with creative teams, business strategists, and technology groups. They translate complex data insights into actionable recommendations that support storytelling, content development, marketing, and operational efficiency. This role often involves presenting analytical findings to non-technical stakeholders and aligning data strategies with Disney’s broader business goals. Effective communication and a collaborative mindset are essential, as executives in this field must bridge the gap between technical analytics and creative or strategic initiatives.

What are the key skills and qualifications needed to thrive as an Executive Disney Data Science professional, and why are they important?

To thrive as an Executive Disney Data Science professional, you need advanced expertise in statistical analysis, machine learning, and data-driven strategy, typically supported by a graduate degree in data science, computer science, or a related field. Proficiency with big data platforms (e.g., Hadoop, Spark), programming languages (such as Python or R), and data visualization tools is essential, along with experience in cloud-based analytics systems. Exceptional leadership, communication, and strategic thinking skills distinguish top performers in this role. These competencies are crucial for driving impactful business decisions and innovation through data insights across Disney's diverse entertainment portfolio.

What is an Executive Disney Data Science professional?

An Executive Disney Data Science professional is a senior leader responsible for overseeing data-driven strategies and analytics initiatives within The Walt Disney Company. They lead teams of data scientists and analysts to drive business decisions, improve customer experiences, and optimize operations using data insights. These executives collaborate with various departments, such as marketing, technology, and finance, to ensure data is leveraged effectively across the organization. Their role typically involves setting the vision for data science, managing large-scale projects, and staying updated on the latest technologies and industry trends.
What cities are hiring for Executive Disney Data Science jobs? Cities with the most Executive Disney Data Science job openings:
What are the most commonly searched types of Disney Data Science jobs? The most popular types of Disney Data Science jobs are:
What states have the most Executive Disney Data Science jobs? States with the most job openings for Executive Disney Data Science jobs include:
What job categories do people searching Executive Disney Data Science jobs look for? The top searched job categories for Executive Disney Data Science jobs are:
Executive Disney Data Science jobs near you
Infographic showing various Executive Disney Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Manager Data Science

Manager Data Science

Elsevier

Philadelphia, PA • On-site

$115K - $192K/yr

Full-time

Posted 8 days ago

Job description

AI for Science, Research Intelligence & Knowledge Discovery
Lead the Teams Building AI That Advances Science
What if the teams you lead could help accelerate scientific breakthroughs, improve healthcare outcomes, and expand human knowledge?
At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians, educators, and institutions to discover evidence, connect ideas, uncover insights, and solve some of the world's most important challenges.
Every day, millions of researchers depend on our products to navigate an ever-growing universe of scientific knowledge. As a Data Science Leader, your work will directly influence how knowledge is discovered, understood, trusted, and applied across the global research ecosystem.
This is leadership with purpose. This is AI in service of science.
About the team
As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipline.
About the Role
As a Data Science Leader, you will build, develop, and inspire high-performing teams responsible for delivering advanced AI, machine learning, search, retrieval, NLP, and generative AI solutions that power scientific discovery and research intelligence.
You will provide strategic direction, elevate technical excellence, and help shape the future of AI-enabled products used by researchers and healthcare professionals worldwide. Working at the intersection of cutting-edge technology and meaningful impact, you will guide teams solving some of the most complex and intellectually challenging problems in science.
Success in this role requires a balance of technical depth, people leadership, strategic thinking, and a passion for helping others do their best work while advancing a mission that matters.
What You'll Do
  • Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors.
  • Define and execute data science strategies that advance scientific discovery, research intelligence, and knowledge-access products.
  • Drive the development of AI-powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generative AI.
  • Translate complex customer, scientific, and business challenges into scalable data science solutions and measurable outcomes.
  • Establish high standards for experimentation, evaluation, model quality, reliability, and responsible AI practices.
  • Partner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and delivery.
  • Mentor and coach team members while fostering a culture of scientific rigor, collaboration, innovation, and continuous learning.
  • Guide the adoption of emerging AI technologies, including LLMs, retrieval-augmented generation, semantic search, and knowledge-based systems.
  • Influence senior stakeholders and contribute to long-term AI, technology, and product strategy across the organization.
  • Ensure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outcomes.

What We're Looking For
  • Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.
  • Proven success building, coaching, and developing high-performing teams in complex technology or product environments.
  • Technical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation.
  • Experience delivering AI-powered products or platforms from concept through production deployment and measurable impact.
  • Deep understanding of modern AI approaches, including LLMs, RAG architectures, semantic search, embeddings, and knowledge systems.
  • Experience establishing evaluation frameworks, experimentation practices, and performance metrics for AI solutions.
  • Ability to translate ambiguous challenges into clear strategy, execution plans, and business outcomes.
  • Exceptional communication and stakeholder-management skills with the ability to influence technical, product, and executive audiences.
  • Experience working with large-scale structured, semi-structured, and unstructured data in production environments.
  • A passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real-world impact.

Why Join Elsevier
Because your leadership will matter.
You will lead teams building AI systems that help researchers discover knowledge faster, assess evidence more effectively, generate new insights, and accelerate scientific progress.
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $121,200 - $201,900.If performed in New York, the base pay range is $126,900 - $211,500.If performed in New York City, the base pay range is $138,400 - $230,700.If performed in Rochester, NY, the base pay range is $115,400 - $192,300.If performed in New Jersey, the base pay range is $136,213 - $217,587.This job is eligible for an annual incentive bonus.
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