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Manager Decision Sciences Jobs (NOW HIRING)

This role manages decision scientists, product owners, and BI developers while serving as a player-coach who raises team capability, models analytical best practices, and helps deliver value from ...

Decision Scientist

San Antonio, TX · On-site

$75 - $95/hr

Data Preparation & Management * Extract, synthesize, and clean data from multiple sources ... Collaborate across organizational levels to evangelize advanced analytics and decision sciences.

Decision Scientist

San Antonio, TX · On-site

$75 - $95/hr

Data Preparation & Management * Extract, synthesize, and clean data from multiple sources ... Collaborate across organizational levels to evangelize advanced analytics and decision sciences.

Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI ... You will be responsible for managing end-to-end data science projects, leveraging advanced ...

Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI ... You will be responsible for managing end-to-end data science projects, leveraging advanced ...

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Manager Decision Sciences information

What kind of jobs use decision science?

Decision science is used in roles such as data analysts, business analysts, operations managers, and data scientists, where analyzing data and modeling decision-making processes are essential. These jobs often involve skills in statistics, data visualization, and tools like Excel, R, or Python to improve strategic choices and optimize outcomes.

How does a manager decision sciences typically collaborate with cross-functional teams to drive data-driven initiatives?

As a Manager Decision Sciences, you will work closely with stakeholders across departments such as marketing, product, finance, and IT to identify business challenges and translate them into analytical projects. Collaboration often involves gathering requirements, communicating analytical findings in a clear, actionable manner, and guiding teams in implementing data-driven strategies. You'll also mentor analysts and data scientists within your team, ensuring alignment on methodologies and project goals. This cross-functional approach not only broadens your business acumen but also provides opportunities to influence strategic decisions across the organization.

What is a manager decision sciences?

A Manager Decision Sciences is a professional who leads teams responsible for analyzing data and developing models to support business decision-making. They use statistical techniques, machine learning, and data analytics to extract insights from complex datasets. Their work helps organizations make informed strategic choices, improve efficiency, and solve business problems. The role typically involves overseeing data scientists and analysts, ensuring project goals are met, and communicating findings to other business leaders.

Is decision science a good career?

Decision science is a growing field that involves analyzing data to inform strategic business decisions, often requiring skills in statistics, data analysis, and modeling. Careers in decision science can offer strong job prospects, competitive salaries, and opportunities across various industries such as finance, healthcare, and technology.

What are the key skills and qualifications needed to thrive as a manager decision sciences, and why are they important?

To thrive as a Manager Decision Sciences, you need a strong background in statistics, data analysis, and advanced analytics, usually supported by a degree in a quantitative field and several years of relevant experience. Expertise in tools like SQL, Python, R, and data visualization platforms, as well as familiarity with big data systems and machine learning frameworks, is typically required. Leadership, critical thinking, and the ability to communicate complex insights to non-technical stakeholders are crucial soft skills for this role. These skills ensure effective data-driven decision-making, successful project delivery, and alignment of analytics initiatives with business strategy.
More about Manager Decision Sciences jobs
What cities are hiring for Manager Decision Sciences jobs? Cities with the most Manager Decision Sciences job openings:
What are the most commonly searched types of Decision Sciences jobs? The most popular types of Decision Sciences jobs are:
What states have the most Manager Decision Sciences jobs? States with the most job openings for Manager Decision Sciences jobs include:
Infographic showing various Manager Decision Sciences job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.

Senior Manager, Decision Science

Dealer Tire, LLC

Cleveland, OH • On-site

$143K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Dealer Tire rating

7.9

Company rating: 7.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

127th of 412 rated retail wholesalers


Job description

Who We Are
We're Dealer Tire, a family-owned, international distributor of tires and parts established in 1918 in Cleveland, OH. We're laser focused on helping the world's largest and most trusted auto manufacturers grow their tire business-in fact, we've sold more than 60 million tires to date. We're a thriving company, and we're looking for driven individuals to join our team. That's where you come in!
Base Pay Range:
$143,208 - $180,000
The Senior Manager, Decision Science will lead Dealer Tire's supply chain analytics capability across analytics product ownership, business intelligence, and decision intelligence. This role manages decision scientists, product owners, and BI developers while serving as a player-coach who raises team capability, models analytical best practices, and helps deliver value from analytics assets ranging from dashboards and reports to decision-oriented tools.
Core Responsibilities
  • Serve as lead product owner and point of contact for advanced analytics supporting supply chain operations.
  • Define the supply chain analytics roadmap by partnering with stakeholders to identify priorities, establish KPIs, diagnose performance gaps, and shape analytics initiatives that improve business outcomes.
  • Manage the analytics product lifecycle by overseeing intake, requirements, backlog prioritization, delivery planning, user acceptance, adoption, and continuous improvement.
  • Explore and introduce new analytics capabilities, techniques and best practices to apply to use cases including AI-assisted improvements in speed and quality.
  • Coordinate execution across capability teams by working with data engineering, data science, automation, IT, and other analytics teams to remove barriers and get projects delivered.
  • In addition to dashboards and reports, diversifying into analytics deliverables of decision tools, guided workflows, scenario analysis, recommendations, and reusable analytics products.
  • Maintain and improve the supply chain financial reporting process.
  • Lead and develop the team by coaching the team on analytical best practices, problem framing, product thinking, communication, and business interpretation.
  • Act as a change leader, instill AI-first mindset through adoption of AI tools for productivity improvement and beyond.

Leadership & Team Development
  • Determine staffing needs, hire, train, and develop team members across the department(s).
  • Monitor and evaluate performance and implement coaching and development plans.
  • Lead cross-functional collaboration within a matrix environment.
  • Develop and communicate strategic objectives and measurable time-based goals for team and individuals based on business and department priorities.
  • Partner with Supply Chain, Operations, Information Technology, and additional leaders to influence the data management processes while overseeing governance practices.

Other Duties as Assigned
Position Qualifications
  • Bachelor's degree in Supply Chain, Business, Analytics, Data Science, Statistics, Engineering, Information Systems, Computer Science, or a related field.
  • 8+ years of experience in analytics, business intelligence, decision science, data product management, supply chain analytics, or related analytical leadership roles.
  • 3+ years of experience leading analytics teams, product owners, BI developers, or cross-functional analytics initiatives.
  • Experience applying analytics product management practices, including intake, prioritization, backlog management, requirements definition, adoption planning, and value realization.
  • Demonstrated ability to partner with stakeholders, define KPIs, manage backlogs, influence cross-functional teams, and translate analytics into practical business decisions.

Competencies Required
  • Results Orientation
  • Strategic Thinking
  • Critical Thinking
  • Organizational Agility
  • Influence & Leadership
  • Resource Optimization
  • Provide Direction
  • Understand and Apply Data
  • Relationship Building
  • Business Acumen

Physical job requirements
  • Continuous viewing and inputting data.
  • Ability to sit for extended periods and view computer screens frequently.
  • Travel as necessary, <10%

Drug Policy
Dealer Tire is a drug-free environment. All applicants being considered for employment must pass a pre-employment drug screening before beginning work.
This position is targeted to be closed on:
2026-09-11
Why Dealer Tire: An amazing opportunity to join a growing organization, built on the efforts of hard working, innovative, and team-oriented people. The compensation offered for this position will depend on qualifications, experience, and geographic location. The total compensation package may also include commission, bonus or profit sharing. We offer a competitive & comprehensive benefit package including: paid time off, medical, dental, vision, and 401k match (50% on the dollar up to 7% of employee contribution). For more information on our benefit offerings, please visit our Dealer Tire Family of Companies Benefits Highlights Booklet.
EOE Statement: Dealer Tire is an Equal Employment Opportunity (EEO) employer and does not discriminate on the basis of race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability (in compliance with the Americans with Disabilities Act*), or any other legally protected status, with respect to employment opportunities.
*ADA Disclosure: Any candidate who feels that they may need an accommodation to complete this application, or any portions of same, based on the impact of a disability should contact Dealer Tire's Human Resources Department to discuss your specific needs. Please feel free to contact us at 1-800-933-2537 x6550.

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