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Executive Data Science Analytics Jobs (NOW HIRING)

Data Science & Analytics Manager Company: The Boeing Company Summary: Boeing Commercial Airplanes ... You will work closely with executive stakeholders to drive supply chain stability and enable Boeing ...

Data Science & Analytics Manager Company: The Boeing Company Summary: Boeing Commercial Airplanes ... You will work closely with executive stakeholders to drive supply chain stability and enable Boeing ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

This executive will lead the strategy, architecture, and delivery of West Monroe's internal Data Science, Analytics & Integrations function. Reporting directly to the CIO, the role spans enterprise ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting. * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to ...

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Executive Data Science Analytics information

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$26.5K

$93.6K

$184K

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

As of Jun 17, 2026, the average yearly pay for executive data science analytics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

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

AspectExecutive Data Science AnalyticsData Scientist
CredentialsAdvanced degrees (Master's/PhD), certifications in analytics or data scienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic leadership, executive meetings, cross-departmental collaborationTechnical analysis, coding, model development, data exploration
Employer & Industry UsageSenior roles in corporations, consulting firms, and tech companiesTech companies, finance, healthcare, and research organizations
Search & Comparison IntentUnderstanding strategic vs technical roles, career progressionTechnical skills, daily tasks, qualifications

Executive Data Science Analytics focuses on strategic decision-making, leadership, and high-level analytics, often requiring advanced degrees and certifications. Data Scientists are more hands-on with technical analysis, coding, and model building. Both roles are vital in data-driven organizations but differ in scope, responsibilities, and work environment.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting results, understanding business context, and communicating findings remains essential in data analysis roles.

Which is better, DS or CS?

For an Executive Data Science Analytics role, both Data Science (DS) and Computer Science (CS) backgrounds provide valuable skills. DS emphasizes statistical analysis, modeling, and data-driven decision-making, while CS focuses on programming, algorithms, and software development. The choice depends on the specific job requirements, but a strong foundation in data analysis tools and programming languages like Python or R is essential for success in this role.

Is 40 too late for data science?

Age is not a barrier to becoming an executive data science analyst; many professionals successfully transition into data science at 40 or later by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience in related fields can also be valuable, and continuous learning is key in the evolving data science industry.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data often have the highest salaries, especially in large organizations. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics tools, and data governance.
What cities are hiring for Executive Data Science Analytics jobs? Cities with the most Executive Data Science Analytics job openings:
What are the most commonly searched types of Data Science Analytics jobs? The most popular types of Data Science Analytics jobs are:
What states have the most Executive Data Science Analytics jobs? States with the most job openings for Executive Data Science Analytics jobs include:
Data Science & Analytics Manager

Data Science & Analytics Manager

Boeing

Everett, WA • On-site

$183K - $224K/yr

Full-time

Medical, Life, Retirement

Posted 12 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 591 frontline employees who took The Breakroom Quiz

32nd of 518 rated manufacturers


Job description

Data Science & Analytics Manager

Company:

The Boeing Company

Job Description Summary:

Boeing Commercial Airplanes is looking for a Data Science & Analytics Managers to join the Supply Chain Functional Excellence organization in Everett, WA or Auburn, WA.

As the Data Science & Analytics Manager, you will join the AI, Reporting, & Automation organization, with a specific focus on AI & Automation or Reporting & Analytics. With sound business acumen and a foundational understanding of supply chain, you will lead a high-performing team of data analysts, scientists, and programmers to deploy supply chain solutions. You will translate ambiguous business needs into structured frameworks, and oversee the execution of data projects, and champion a data-first culture across the organization. You will work closely with executive stakeholders to drive supply chain stability and enable Boeing to deliver safer, better, and more efficient airplanes and products.

You will bridge the gap between complex data infrastructure, statistical modeling, and business strategy. You will partner with cross-functional stakeholders to build scalable data solutions, uncover actionable insights, and measure business performance.

Position Responsibilities:

  • Manage employees performing data science and analytics.

  • Develops and executes project and process plans, implements policies and procedures and sets operational goals.

  • Acquires resources for projects and processes, provides technical management of suppliers and leads process improvements.

  • Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports.

  • Provides vision, oversight, and approval of technical approaches, products and processes.

  • Manages, develops and motivates employees.

To be considered for this position you will be required to complete an assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Basic Qualifications:

  • Candidates must have at least one year of experience in a leadership role (team leader, temp manager, large scale cross functionalproject/program management, or formal manager experience) OR have completed the Boeing internal course "Exploring Leadership."

  • 5+ years of experience in developing and delivering presentations to executive leadership with strong proficiency.

  • 5+ years of experience using Microsoft Office tools (Word, Outlook, Excel, and PowerPoint)

  • 5+ years of experience with SQL and programming languages such as Python or R.

  • 5+ years hands-on experience with BI and data visualization tools (e.g., Tableau, PowerBI, Looker).

  • Strong communication skills with a proven track record of translating complex data insights into actionable business strategies for non-technical stakeholders.

Preferred Qualifications:

  • 5 + years of experience leading teams in data analytics or data science, with at least 1-2 years in a management or team-lead role.

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.

  • Familiarity with cloud data environments (e.g., AWS, GCP, or Azure) and distributed computing tools (e.g., Spark, Hadoop).

  • Experience building and deploying machine learning and AI models in a production environment.

  • Specific domain knowledge relevant to the aerospace industry and supply chain

  • Strong critical thinking, time management, problem solving, and interpersonal skills

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Shift:

This role is primarily 1stSHIFT ; however, there may be additional shift requirements to support program objectives.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $183,600.00 - $224,400.00

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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