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Executive Data Science Jobs in Tulsa, OK (NOW HIRING)

BOK Financial

Data Transformation Lead

Tulsa, OK · On-site

You will develop executive briefings, dashboards, and communications for senior leadership. * You ... Science, Business Administration, or related field of study and 10+ years of experience in data ...

BOK Financial

Data Transformation Lead

Tulsa, OK · On-site

You will develop executive briefings, dashboards, and communications for senior leadership. * You ... Science, Business Administration, or related field of study and 10+ years of experience in data ...

BOK Financial

Data Transformation Lead

Tulsa, OK · On-site

You will develop executive briefings, dashboards, and communications for senior leadership. * You ... Science, Business Administration, or related field of study and 10+ years of experience in data ...

BOK Financial

Enterprise Data Steward II

Tulsa, OK · On-site

... Executive Council, and key data stakeholders in all BOKF lines of business, including Finance ... Science, Information Management, Industrial Engineering in addition to a minimum of 4 years of ...

BOK Financial

Enterprise Data Steward II

Tulsa, OK

... Executive Council, and key data stakeholders in all BOKF lines of business, including Finance ... Science, Information Management, Industrial Engineering in addition to a minimum of 4 years of ...

BOK Financial

Enterprise Data Steward II

Tulsa, OK · On-site

... Executive Council, and key data stakeholders in all BOKF lines of business, including Finance ... Science, Information Management, Industrial Engineering in addition to a minimum of 4 years of ...

Helmerich Payne

Manager, Data Engineering

Tulsa, OK · On-site

Bachelor's degree in Computer Science, Information Systems, Engineering, related field or ... Cross-functional expertise supporting Operations, Supply Chain, Finance, and Executive Leadership ...

HDR

Environmental Scientist 1

Tulsa, OK · On-site

$68K - $90K/yr

Must be able to complete field site visits and record natural resource data in conditions that ... Each group has an executive sponsor and is open to all employees.

HDR

Environmental Scientist 1

Tulsa, OK · On-site

$68K - $90K/yr

Must be able to complete field site visits and record natural resource data in conditions that ... Each group has an executive sponsor and is open to all employees.

Pwc

Managed Services Revenue Cycle - Director

Tulsa, OK · On-site

$155K - $410K/yr

... executive-level client relations. You will be instrumental in driving business growth, shaping ... Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ...

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All JobsData Science JobsExecutive Data Science JobsExecutive Data Science Jobs in Tulsa, OK

Executive Data Science information

See Tulsa, OK salary details

$24.2K

$85.4K

$168.1K

How much do executive data science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for executive data science in Tulsa, OK is $85,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $110,100.00 per year, depending on experience, location, and employer.

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.

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

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

What are the most commonly searched types of Data Science jobs in Tulsa, OK?

The most popular types of Data Science jobs in Tulsa, OK are:

What are popular job titles related to Executive Data Science jobs in Tulsa, OK?

For Executive Data Science jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Executive Data Science jobs in Tulsa, OK look for?

The top searched job categories for Executive Data Science jobs in Tulsa, OK are:

Executive Data Science jobs near you
Infographic showing various Executive Data Science job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $85,448 per year, or $41.1 per hour.

Business Intelligence - Director Enterprise Data & Analytics

Tulsa, OK • On-site

CommunityCare
See more jobs at CommunityCareexternal

Full-time

Re-posted 18 days ago

Job description

JOB SUMMARY:
The Director Enterprise Data & Analytics is responsible for leading the organization's data strategy, analytics, reporting, governance, and data engineering functions. This role partners across executive, technical, financial, clinical, and operational teams to deliver trusted data, scalable analytics, reporting modernization, and AI-enabled decision-making support that advances operational excellence, regulatory confidence, and long-term business success.
KEY RESPONSIBILITIES:
  • Oversee enterprise analytics, business intelligence, corporate reporting, data governance, data quality, and data engineering.
  • Oversee modern data platforms, enterprise data architecture, self-service analytics, predictive analytics, automation, and AI readiness.
  • Develop, execute, and maintain the Enterprise Data & Analytics strategy by establishing policies, standards, and best practices for analytics, reporting, governance, and data engineering while advancing data-driven decision-making and evaluating emerging technologies.
  • Lead, develop, and mentor managers and technical professionals while fostering a culture of innovation, accountability, collaboration, customer service, and continuous learning.
  • Serve as the primary business partner to executive leadership on enterprise data and business intelligence initiatives, while advancing innovation, automation, advanced analytics, and AI-enabled decision support.
  • Collaborate across Finance, IT, Clinical Operations, Medical Management, Network Management, Compliance, and other business areas to align enterprise analytics priorities.
  • Provide strategic leadership for modernization initiatives involving cloud technologies, enterprise reporting, data architecture, and analytics; partner with IT to ensure enterprise systems support scalable reporting and analytics.
  • Manage departmental budgets, establish performance metrics, prioritize resources, and ensure successful execution of strategic initiatives.
  • Partner with data governance, compliance, and security teams to ensure reporting solutions meet HIPAA, CMS, and state regulatory requirements.
  • Perform other related job duties as required or assigned.

QUALIFICATIONS:
  • Ability to translate complex healthcare data into clear, meaningful insights for non-technical audiences.
  • Ability to deliver trusted, timely, and actionable information.
  • Proven success in the execution of enterprise data modernization initiatives.
  • Ability to improve reporting consistency, data quality, and stakeholder confidence.
  • Proven success in increasing adoption of self-service analytics and modern business intelligence.
  • Ability to develop a high-performing Enterprise Data & Analytics organization.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Data Science, Healthcare Administration, Finance, Statistics, Applied Mathematics, or related field required; Master's degree preferred.
  • Seven years of progressive experience in enterprise analytics, business intelligence, data engineering, healthcare analytics, or related disciplines.
  • Three years of leadership experience managing analytical, reporting, engineering, or business intelligence teams.
  • Extensive hands-on experience with Power BI, including data modeling, DAX, security, and enterprise deployments.
  • Strong understanding of healthcare data domains (claims, eligibility, providers, quality, finance, utilization).
  • Demonstrated experience leading enterprise technology initiatives, organizational strategy, and cross-functional teams.
  • Advance enterprise data maturity and governance.
  • Three years of managed healthcare experience preferred.
  • Prior Executive and Board reporting experience preferred.
  • Prior enterprise data modernization and governance experience preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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