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Executive Data Science Jobs (NOW HIRING)

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... Internally, you will be expected to meet with product managers, executives and estaff, and be able ...

The data science team is very much applied - their work directly makes its way into real products ... Internally, you will be expected to meet with product managers, executives and estaff, and be able ...

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Executive Data Science information

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$26.5K

$93.6K

$184K

How much do executive data science jobs pay per year?

As of May 28, 2026, the average yearly pay for executive data science 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 are the key skills and qualifications needed to thrive as an Executive Data Scientist, and why are they important?

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 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 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.

More about Executive Data Science jobs
What cities are hiring for Executive Data Science jobs? Cities with the most Executive Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Executive Data Science jobs? States with the most job openings for Executive Data Science jobs include:
Infographic showing various Executive Data Science job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Executive Director, Clinical Data Science

Executive Director, Clinical Data Science

Eisai

Brooklyn, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

We are seeking a visionary leader to shape and drive Clinical Data Science strategy across our global clinical development portfolio. This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director will spearhead the integration of AI/ML solutions for applications in disease diagnosis, modeling, imaging, genomics, proteomics, and precision medicine. Acting as the primary data science representative to global regulatory authorities, this individual will defend strategies and influence industry standards.

Strategic Leadership:

  • Define and execute Clinical Data Science strategies for clinical studies and development plans across the portfolio.
  • Serve as the primary spokesperson for Data Science at Health Authority meetings, leading preparation of responses and influencing regulatory perspectives.

Innovation & Execution:

  • Drive adoption of cutting-edge AI/ML methodologies for disease modeling, biomarker analysis, and precision medicine.
  • Oversee multiple large-scale, critical data science initiatives, ensuring timely, high-quality deliverables aligned with industry best practices.

Risk Management & Problem Solving:

  • Evaluate analytical options, proactively identify risks, and develop novel solutions to complex challenges.

Thought Leadership & External Engagement:

  • Represent the organization at technical seminars and conferences; build networks with industry experts to advance best practices.

Team Leadership & Development:

  • Manage and mentor a diverse team of data scientists and people managers across geographies.
  • Foster career growth through open dialogue, performance management, and strategic development planning.

Operational Excellence:

  • Ensure GxP compliance in data science programming for clinical trials.
  • Manage budgets, vendor relationships, and third-party deliverables to maintain quality and efficiency.

Executive Communication:

  • Deliver clear, compelling communication of complex data science concepts to internal and external stakeholders with executive presence.

Qualifications

  • Ph.D. in Biostatistics or a Master's Degree in Biostatistics in combination with a Ph.D.in Bioinformatics or related computational sciences.
  • Deep expertise in statistical methods and their application in clinical trials.
  • Minimum 10 years of industry experience in clinical development, including Data Science and Biostatistics.
  • Recognized thought leader in at least one data science discipline (e.g., AI/ML modeling, precision medicine).
  • Proven experience presenting at external forums and influencing regulatory authorities.
  • Strong people leadership experience in a Data Science setting.
  • Prior research experience in neurology, particularly Alzheimer's disease biomarkers (plasma, CSF, imaging), strongly preferred.

Eisai Salary Transparency Language:

The annual base salary range for the Executive Director, Clinical Data Science is from :$273,200-$358,600Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan.

Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills.

Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits.

Certain other benefits may be available for this position, please discuss any questions with your recruiter.

Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

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About Eisai

Sourced by ZipRecruiter

Eisai is a global pharmaceutical company (headquartered in Woodcliff Lake, NJ, US), renowned for its innovative research and development in neuroscience and oncology. The primary focus of the company is to provide therapeutic treatments and solutions for diseases like Alzheimer's, cancer, and other neurological disorders. Eisai was founded in Japan in 1941 and has since developed a strong presence across international markets. Eisai's core values center around their philosophy of 'human health care' (hhc), where they aim to make significant and positive contributions to patients and their families' healthcare worldwide.

Company size

1,001 - 5,000 Employees

Headquarters location

Nutley, NJ, US

Year founded

1995

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