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

... 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 ...

... 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 ...

... 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 ...

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.

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.

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Showing results 1-20

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 Sep 6, 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:

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.

Data Engineer - Manager - Consulting - Location OPEN

Ernst & Young Oman

Tulsa, OK • On-site

$126 - $230/hr

Other

Medical, Dental, Retirement, PTO

Posted 2 days ago

New


Job description

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

At EY, our purpose is to shape the future. The insights and quality services we provide help build trust and confidence in the capital markets and economies all over the world. We develop outstanding leaders who are teamed to deliver our promises to all our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

The opportunity

The Products and Platforms Practice specializes in mission-critical, intelligent platforms for the world’s most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers, and software engineers enable our clients to solve their most complex product challenges and positively impact people and the world. Engineers are problem solvers. While most have deep expertise in specific areas of the technology stack (front end, back end, data, security etc.), all are comfortable swimming across lanes. This is really important in delivering the product and platform outcomes that our customers expect.

In this role, you will design and build AI and analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

Your key responsibilities

As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:

  • Leading workstream delivery and ensuring quality in all processes.

  • Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.

  • Implementing resource plans and budgets while managing engagement economics.

This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.

Skills and attributes for success

To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:

  • Ability to work with both technical and business stakeholders.

  • Prior experience leveraging LLMs or other GenAI tooling.

  • Proven ability to work across cross-functional teams.

  • Proven ability to work with ambiguity or when requirements are lacking/changing.

  • Owns a problem from raw source through pipeline, model/analysis, and production handoff.

  • Checks bias, leakage, sample size, and whether a metric actually answers the question.

  • Writes tested, versioned, observable code — not one-off notebooks that only run on a laptop.

  • Strong analytical and problem-solving abilities.

  • Excellent communication skills, with the ability to convey complex information clearly.

  • Proven experience in managing and delivering projects effectively.

  • Ability to build and manage relationships with clients and stakeholders.

To qualify for the role, you must have
  • Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.

  • Typically, no less than 4 - 6 years relevant experience

  • Hands‑on experience developing scalable data solutions using Python, R, and SQL, with expertise in data engineering, data pipelines, streaming architectures, and big data ecosystems.

  • Cloud Computing Architecture

  • Data Architecture Design and Modelling

  • Data Integration

  • Data Security

  • Ontology Design

  • Software Engineering

  • Data Quality

  • Database Management

  • Semantic Layer

  • Building and Managing Relationships

  • Client Trust and Value

  • Communicating With Impact

  • Hybrid Collaboration

  • Commercial Acumen

  • Leading Teams

  • Managing Change

Ideally, you’ll also have
  • A passion for delivering commercial software products and platforms to market

  • Deeply technical and constantly in a state of learning

  • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, customers, partners and executives

  • Fearless in getting “hands‑on” with technology and execution

  • Strong understanding of modern software engineering processes

  • Deep understanding and interest in cloud and distributed systems architectures

  • Comfortable with ambiguity with a drive for clarity

  • Experience leading and growing technical talent (for software engineering managers)

  • Experience in managing change effectively.

  • Experience with advanced data analytics tools and techniques.

  • Familiarity with machine learning concepts and applications.

  • Knowledge of industry trends and best practices in data engineering.

What we look for

We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  • Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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