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Executive Director Data Science Jobs (NOW HIRING)

AEG

Director, Data Science

Sacramento, CA · On-site

As part of the Business Intelligence team, the Director of Data Science will lead advanced analytics initiatives that translate complex data into actionable recommendations across ticketing, retail ...

PURE Insurance

Director, Data Science

PURE is seeking a Director, Data Science to help professionalize, scale, and lead our data science practice as a true engineering discipline. This is a foundational role at a pivotal moment: our VP, ...

MCG Health

Director, Data Science

Seattle, WA · On-site

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

Chewy

Director, Data Science

Bellevue, WA · On-site

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for ... Exceptional communication: able to influence senior executives and cross-functional partners with ...

Chewy

Director, Data Science

Bellevue, WA · On-site

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for ... Exceptional communication: able to influence senior executives and cross-functional partners with ...

CardWorks

Director, Data Science

South Jordan, UT · On-site

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... The role serves as a trusted advisor to executive leadership, business unit leaders, risk ...

CardWorks

Director, Data Science

Long Island, ME · On-site

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... The role serves as a trusted advisor to executive leadership, business unit leaders, risk ...

Gopuff

Director, Data Science

As Director of Data Science, you will lead a high-impact team responsible for the models and ... executives. * Hands-on coder: proficient in Python and comfortable diving into model code ...

CardWorks

Director, Data Science

Wilmington, DE · On-site

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... The role serves as a trusted advisor to executive leadership, business unit leaders, risk ...

Formation Bio

Director, Data Science

Boston, MA · On-site

$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 ...

Tombras

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

Tombras, a 600+ person, full-service, national advertising agency with a digital mindset, is seeking an Associate Director, Data Science. You'll be joining one of the top independent agencies in ...

Tombras

Associate Director, Data Science

Knoxville, TN · On-site

$100 - $125/hr

Tombras, a 450+ person, full-service, national advertising agency with a digital mindset, is seeking an Associate Director, Data Science. You'll be joining one of the top independent agencies in ...

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel - the quality, currency, and representativeness of the signal at the heart of our data. Your team owns ...

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Executive Director Data Science information

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

As of Sep 9, 2026, the average yearly pay for executive director data science in the United States is $89,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $117,000.00 per year, depending on experience, location, and employer.

What does an executive director of data science do?

An Executive Director of Data Science leads and oversees the data science department within an organization, setting the strategic vision and ensuring alignment with business goals. This role involves managing teams of data scientists, developing data-driven solutions, and collaborating with other executives to leverage analytics for organizational growth. Responsibilities also include establishing best practices, overseeing large-scale data projects, and ensuring compliance with data governance policies. The Executive Director plays a crucial role in driving innovation and maintaining the company's competitive edge through advanced analytics.

What are the key skills and qualifications needed to thrive as an executive director of data science?

To thrive as an Executive Director of Data Science, you need advanced expertise in data analytics, statistical modeling, and machine learning, typically backed by a PhD or master’s degree in a quantitative field. Familiarity with big data tools (e.g., Spark, Hadoop), programming languages (Python, R), and cloud platforms, as well as experience with data governance and relevant certifications, is often required. Exceptional leadership, strategic thinking, and strong communication skills are critical for guiding teams and aligning data initiatives with organizational goals. These competencies ensure the effective delivery of data-driven insights that drive business growth and innovation.

What are some common challenges faced by an executive director of data science, and how can they be addressed?

Executive Directors of Data Science often encounter challenges such as aligning data science initiatives with overall business strategy, managing cross-functional teams, and ensuring data quality and security. Successfully addressing these challenges requires strong communication skills to bridge the gap between technical experts and business leaders, as well as robust project management to prioritize high-impact projects. Building a culture of collaboration, investing in team development, and staying updated on emerging technologies also help drive organizational success and foster innovation.

What cities are hiring for Executive Director Data Science jobs?

Cities with the most Executive Director Data Science job openings:

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Infographic showing various Executive Director Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $89,818 per year, or $43.2 per hour.

Director, Data Science

Sacramento, CA • On-site

AEG
Recruiting and Staffing Services • 51 - 200 employees
Learn more about AEGexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
Business Title: Director, Data ScienceDepartment: Business IntelligenceReports to: Vice President, Business IntelligenceFLSA Status: Full-Time, Exempt
Job SummaryThe Sacramento Kings are committed to using data and technology to better understand our fans, strengthen business performance, and improve decision-making across the organization. As part of the Business Intelligence team, the Director of Data Science will lead advanced analytics initiatives that translate complex data into actionable recommendations across ticketing, retail, marketing, and other areas of the business.This role will serve as a key analytical partner to leaders across the organization, with responsibility for ticket pricing, inventory management, revenue forecasting, and customer analytics. The Director will develop and maintain predictive and analytical solutions, build automated tools and data pipelines, and identify new opportunities to use data science and emerging technologies to improve business outcomes.The ideal candidate combines strong technical expertise with commercial judgment and the ability to communicate complex analytical concepts clearly to both technical and non-technical audiences. This position will also lead and develop members of the Business Intelligence team while remaining hands-on in the analysis, development, and implementation of solutions.
Key Responsibility Areas
  • Lead the development and execution of analytical strategies supporting ticketing revenue, including single-game dynamic pricing, season and plan pricing, inventory management, sell-through analysis, and revenue forecasting.
  • Develop analytical models and decision-support tools that identify pricing and inventory opportunities and provide actionable recommendations to Ticket Sales, Ticket Operations, Marketing, and organizational leadership.
  • Build, maintain, and enhance predictive and statistical models related to customer behavior, including areas such as retention, purchase propensity, demand forecasting, customer segmentation, and revenue optimization.
  • Conduct scenario analysis and ad-hoc analytical work to support time-sensitive business decisions and identify emerging revenue opportunities.
  • Develop automated solutions that improve the speed, accuracy, and scalability of recurring business processes, including ticket pricing, price code creation, inventory analysis, reporting, and other analytical workflows.
  • Design and maintain data pipelines that integrate business data from ticketing, retail, food & beverage, digital, and other third-party platforms into the organization's data environment.
  • Partner with internal technology resources and external data partners to ensure data used for analytics is accurate, timely, accessible, and appropriately structured.
  • Develop dashboards, reporting tools, and analytical frameworks that enable stakeholders to monitor performance, understand key business drivers, and make informed decisions.
  • Evaluate opportunities to apply machine learning, AI, optimization, and other emerging analytical techniques to business challenges where they can create measurable value or improve operational efficiency.
  • Lead, mentor, and develop direct reports within the Business Intelligence team, establishing clear priorities while supporting professional growth and technical development.
  • Foster collaboration and knowledge sharing across the Business Intelligence team, helping strengthen analytical capabilities and best practices throughout the department.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, Engineering, or another quantitative field; advanced degree preferred.
  • 8+ years of professional experience in data science, advanced analytics, business analytics, or a related quantitative field, with demonstrated experience using analytics to influence business decisions.
  • 3+ years of experience leading, managing, or mentoring analysts or data science professionals preferred.
  • Proficiency in SQL as well as Python and/or R, with demonstrated experience developing production-quality analytical models, automated workflows, and data solutions.
  • Strong understanding of statistical modeling, forecasting, optimization, experimentation, and machine learning techniques, with the ability to select methodologies appropriate to the business problem.
  • Experience developing analytical solutions that have influenced pricing, revenue management, inventory optimization, customer behavior, marketing, or other commercial decisions.
  • Experience working with relational databases, cloud data platforms, data warehouses, and data integration processes.
  • Experience with Tableau or similar business intelligence and data visualization platforms.
  • Strong understanding of analytical development practices, including model validation, documentation, reproducibility, version control, and code quality.
  • Strong business acumen and curiosity, with the ability to understand business problems before determining the appropriate analytical solution.
  • Ability to manage multiple priorities and balance longer-term analytical development with time-sensitive business needs.
  • Experience in sports, entertainment, ticketing, retail, hospitality, or another dynamic consumer business preferred.
  • Familiarity with Ticketmaster Archtics/Host or other ticketing platforms preferred.

Compensation:Base Salary Range: $110,000-$140,000, plus eligibility for an annual discretionary bonus.
Total Rewards Package:In addition to a competitive compensation package, we offer a comprehensive suite of benefits designed to support your health, financial well-being, and work-life balance, including:
  • Medical, dental, and vision coverage for employees and eligible dependents
  • 401(k) with company matching contributions
  • Self-Directed Time Off, 11 paid holidays, and Summer Fridays
  • Paid parental leave
  • Company-paid life insurance and long-term disability coverage
  • Employee Assistance Program and wellness resources
  • Cell phone stipend
  • Sacramento Kings season tickets, concert access, team store discounts, parking, and other exclusive team member perks
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About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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