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Manager Decision Support Jobs (NOW HIRING)

This Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. This role is responsible for the ...

Director, Decision Support

Dayton, OH · On-site +1

$163K - $303K/yr

... decision support * Lead financial planning, budgeting, forecasting, and longrange planning ... Solid understanding of finance, accounting principles, governance, and risk management * Confidence ...

This Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally ...

Decision Support Administrator Location: Remote Required Qualifications Core Competencies 1. ... Ability to manage research projects from design to completion, ensuring accuracy and timeliness.

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Manager Decision Support information

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$22.5K

$67.9K

$121K

How much do manager decision support jobs pay per year?

As of Jun 21, 2026, the average yearly pay for manager decision support in the United States is $67,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $91,000.00 per year, depending on experience, location, and employer.

What are Manager Decision Support roles?

Manager Decision Support roles are responsible for leading teams that analyze data and provide actionable insights to help organizations make informed business decisions. They oversee the collection, interpretation, and presentation of data, often collaborating with executives and various departments to identify opportunities for improvement or growth. Their work typically includes creating reports, developing analytical models, and ensuring that decision-making processes are supported by accurate, timely information. These managers play a crucial role in strategic planning and operational efficiency within an organization.

What are the key skills and qualifications needed to thrive as a Manager Decision Support, and why are they important?

To thrive as a Manager Decision Support, you need strong analytical skills, expertise in financial modeling, and a degree in finance, business, or a related field. Familiarity with advanced Excel functions, business intelligence tools like Tableau or Power BI, and ERP systems such as SAP is typically required. Excellent communication, leadership, and problem-solving abilities distinguish top performers in this role. These skills are crucial for delivering actionable insights and guiding organizational decision-making based on data-driven analysis.

What is the difference between Manager Decision Support vs Data Analyst?

AspectManager Decision SupportData Analyst
Primary FocusSupporting managerial decision-making through analysis and strategic insightsAnalyzing data to identify trends and generate reports
Required SkillsAdvanced analytical skills, business acumen, leadershipStatistical analysis, data visualization, technical proficiency
CertificationsBusiness or management certifications often preferredData analysis or statistical certifications (e.g., CAP, Microsoft Certified)
Work EnvironmentCorporate offices, cross-department collaborationData-focused teams, IT departments, research settings

While both roles involve data analysis, the Manager Decision Support focuses on providing strategic insights to support managerial decisions, often requiring leadership and business knowledge. Data Analysts primarily analyze data sets to uncover trends and generate reports, with a stronger emphasis on technical skills. Understanding these differences helps organizations assign the right roles for their data needs.

How does a Manager Decision Support typically collaborate with other departments to drive strategic initiatives?

A Manager Decision Support often works closely with teams across finance, operations, and executive leadership to analyze data and provide actionable insights for key business decisions. They facilitate cross-functional meetings, translate complex data into understandable recommendations, and ensure that decision-makers have the information needed for strategic planning. Effective collaboration requires strong communication skills and the ability to align stakeholders with varying priorities. This role frequently serves as a bridge between technical analysts and senior management, helping to shape and implement organizational strategies.
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What cities are hiring for Manager Decision Support jobs? Cities with the most Manager Decision Support job openings:
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Infographic showing various Manager Decision Support job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $67,899 per year, or $32.6 per hour.
Manager, Decision Science Products

Manager, Decision Science Products

The Walt Disney Company

Burbank, CA

Full-time

Posted 21 days ago


Walt Disney Company rating

7.6

Company rating: 7.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

5th of 48 rated entertainment


Job description

Job Posting Title:

Manager, Decision Science Products

Req ID:

10141554

Job Description:

About the Role & Team

The Disney Decision Science and Integration (DDSI) teamleveragesadvanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making.

The Disney Decision Science & Integration (DDSI) organization provides internal consulting and advanced analytics capabilities across The Walt Disney Company. The Decision Science Product team partners with decision scientists, data engineers, software engineers, and user experience designers to build technology-enabled analytics products that shape business decisions and deliver measurable value. If selected for this role, you will report to the Director, Decision Science Products. This is a full-time role focused on launching and scaling new decision science products within an emerging products portfolio.

What You Will Do

  • Own the end-to-end product lifecycle for new decision science products-from discovery and ideation through launch, adoption, and continuous delivery.

  • Define product strategy and multi-release roadmaps; translate user and market insights into prioritized backlogs and clear outcomes.

  • Lead cross-functional squads (engineering, data science, data engineering, UX) to scope solutions, run experiments/prototypes, and deliver high-quality releases on time.

  • Convert complex analytical and technical concepts (forecasting, optimization, machine learning) into intuitive user experiences and actionable business capabilities.

  • Integrate user research, usability studies, and market analysis into requirements; champion user-centric design and measurable success criteria (OKRs/KPIs).

  • Establish and improve product development practices (agile ceremonies, backlog hygiene, release planning, and change management).

  • Guide solution testing and validation (unit, integration, UAT, and A/B testing) to ensure reliability, performance, and business impact.

  • Partner with client stakeholders as a strategic advisor; communicate roadmaps, trade-offs, and results through compelling narratives and visuals.

  • Develop and mentor team members; foster an inclusive, collaborative culture that embraces learning and experimentation.

Required Qualifications & Skills

  • 8+ years of experience including data science product management for technology-based data/analytics or software products, data science product management consulting, and/or novel data science and advanced analytics solution development.

  • 2 + years of experience leading cross-functional teams or agile squads in a matrixed environment.

  • Proven ability to translate technical requirements and analytical methods into customer-facing features and business outcomes.

  • Demonstrated experience with agile product development (e.g., backlog management, sprint planning, roadmap definition).

  • Experience partnering closely with engineering, data science/decision science, data engineering, and UX/design functions.

  • Ability to synthesize user research, usability testing, and market analysis to drive prioritization and product strategy.

  • Strong storytelling and executive communication skills with the ability to simplify complex analytics into clear, actionable recommendations.

  • Familiarity with statistical/ML concepts, forecasting and/or optimization, and data visualization; ability to query and analyze data (e.g., SQL).

  • Active commitment to fostering a diverse, equitable, and inclusive team environment.

Preferred Qualifications

  • Experience developing and/or managing data products

  • Familiarity with data mesh and zero copy architecture (Snowflake / iceberg a plus)

  • Experience in media, parks & experiences, or related consumer domains.
  • Success launching enterprise-scale analytics or data products and integrating them into business processes.

  • Experience with agentic AI products, design patterns, and architecture

  • Background in revenue management, forecasting, or optimization applications.

  • Hands-on familiarity with Python or R and modern data platforms (e.g., cloud services, ML Ops).

  • Experience with data visualization tools (e.g., Tableau) and experimentation platforms.

  • Consulting experience and/or product operations partnership to scale adoption and sustainment.

Education

Required Education:

  • Bachelor's degree and/or equivalent work experience

Preferred Education:

  • Bachelor's degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative field, or equivalent experience.

  • Master's Degree or equivalent experience

#DISNEYTECH

#DisneyAnalytics

The hiring range for this position in Burbank, CA is $171,600 to $230,100 per year and Orlando, FL is $163,400 to $219,100 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.

Job Posting Segment:

Corporate Strategy

Job Posting Primary Business:

Decision Science & Integration

Primary Job Posting Category:

Product Management

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Burbank, CA, USA

Alternate City, State, Region, Postal Code:

USA - FL - Team Disney - Florida

Date Posted:

2026-02-12

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

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