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Data Executive Jobs (NOW HIRING)

Redwire Space

Data Analyst, Lead

Chantilly, VA · On-site

The Data Analyst, Lead is responsible for defining, standardizing, and enabling enterprise ... Executive Communication and Insights * Present insights and performance updates to senior ...

Redwire Space

Data Analyst, Lead

Chantilly, VA · On-site

The Data Analyst, Lead is responsible for defining, standardizing, and enabling enterprise ... Executive Communication and Insights * Present insights and performance updates to senior ...

Yakima Health District

Executive Director - YHD

Yakima, WA · On-site

$198K - $279K/yr

Accountability Position Data: Executive Director - YHD-S Regular Exempt (ineligible for overtime) Overview: This recruitment may be used to fill future vacancies that occur within 90 days of the ...

Instacart

Senior People Data Scientist

Experience designing and maintaining executive-facing dashboards and data products in a BI tool (e.g., OneModel, Tableau, Looker), including metric design, documentation, and stakeholder enablement ...

Activated Scale Inc.

Account Executive

San Francisco, CA · On-site

$150K - $200K/yr

Manage complex sales processes involving multiple stakeholders including Data practitioners to C/VP level data executives. You will help navigate complex POCs while communicating business value in ...

Trustly

Chief Data Officer

New York, NY · On-site

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly's most senior data executive, responsible for the strategy, architecture, and execution of the ...

Trustly

Chief Data Officer

New York, NY

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly's most senior data executive, responsible for the strategy, architecture, and execution of the ...

Trustly

Chief Data Officer

San Francisco, CA

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly's most senior data executive, responsible for the strategy, architecture, and execution of the ...

Trustly

Chief Data Officer

San Francisco, CA

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly's most senior data executive, responsible for the strategy, architecture, and execution of the ...

Trustly

Chief Data Officer

New York, NY

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly's most senior data executive, responsible for the strategy, architecture, and execution of the ...

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All JobsData Executive Jobs

Data Executive information

See salary details

$26.5K

$93.6K

$184K

How much do data executive jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data executive 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 a Data Executive, and why are they important?

To thrive as a Data Executive, you need a solid background in data analysis, business intelligence, and data management, often supported by a degree in data science, statistics, or a related field. Familiarity with tools such as SQL, Python, data visualization platforms (e.g., Tableau or Power BI), and possibly certifications like Certified Data Management Professional (CDMP) are typically required. Strong leadership, communication, and strategic thinking skills help you translate data insights into actionable business strategies and effectively lead data teams. These skills and qualities are crucial for driving data-driven decision-making and delivering measurable value to the organization.

What are some common challenges faced by Data Executives when managing cross-functional data initiatives?

Data Executives often encounter challenges related to aligning diverse stakeholders, ensuring data quality across departments, and integrating multiple data systems. Navigating differing priorities between business units and technical teams requires strong communication and negotiation skills. Additionally, maintaining data security and compliance while driving innovation can be complex, but these challenges present valuable opportunities to demonstrate leadership and strategic thinking in a dynamic environment.

What is the difference between Data Executive vs Data Analyst?

AspectData ExecutiveData Analyst
Required CredentialsBachelor's degree in Data Science, Business, or related field; often some certificationsBachelor's degree in Statistics, Data Science, or related field; certifications like Microsoft Data Analyst are common
Work EnvironmentStrategic roles in corporate settings, focusing on data management and decision-makingOperational roles, analyzing data sets to generate reports and insights
Employer & Industry UsageUsed in corporate, finance, and consulting firms for data governance and strategyCommon across industries for data reporting, market analysis, and performance tracking

While both roles involve working with data, Data Executives focus on strategic data management and decision-making at a higher level, whereas Data Analysts primarily analyze data to generate reports and insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Data Executives?

Data Executives are professionals responsible for overseeing the management, analysis, and strategic use of an organization's data assets. They develop and implement data policies, ensure data quality and security, and help drive business decisions using data insights. Typically, Data Executives work with cross-functional teams to align data initiatives with business goals and may lead data governance, analytics, and reporting efforts. Their role is crucial for organizations aiming to leverage data for competitive advantage.
More about Data Executive jobs
What cities are hiring for Data Executive jobs? Cities with the most Data Executive job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Data Executive jobs? States with the most job openings for Data Executive jobs include:
What job categories do people searching Data Executive jobs look for? The top searched job categories for Data Executive jobs are:
Data Executive jobs near you
Infographic showing various Data Executive job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Executive Director-Firmwide AI Data Strategy

Executive Director-Firmwide AI Data Strategy

JPMorgan Chase & Co.

Manhattan, NY • On-site

$175K - $260K/yr

Full-time

Medical, Retirement

Posted 10 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

47th of 142 rated banks

Job description


The Chief Data Office is responsible for maximizing the value and impact of data globally in a highly governed way. Our teams accelerate the organization's data, analytics, and artificial intelligence journey, spanning data strategy, impact optimization, privacy, governance, transformation, and talent. We are looking for a data executive to help shape the strategy for how we make data available to power everything from new product development to artificial intelligence models. This leader will join the team responsible for setting the enterprise data publishing strategy and driving its adoption across the organization.
As an Executive Director, AI Data Strategy in the Chief Data Office, you will be instrumental in shaping the organization's knowledge representation and data foundations for artificial intelligence. Your role will involve utilizing ontologies and taxonomies to enhance data interoperability and management, preparing enterprise data for AI applications at scale. Your responsibilities will range from engaging with and educating domain experts to assessing standard ontologies and developing an organization-wide ontology framework. Your work will traverse multiple domains, influencing teams across data and analytics, product, and technology.
Job responsibilities
  • Drive the development and adoption of the enterprise AI data strategy, aligning stakeholders across business lines and functions.
  • Evaluate industry standards and semantic technologies for adoption across the organization, ensuring alignment with strategic objectives.
  • Collaborate with stakeholders, subject matter experts, product owners, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
  • Provide expert input into the enterprise data strategy, with a focus on knowledge representation, ontology design, and data readiness for AI.
  • Communicate complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples, asking clarifying questions to define core meanings.
  • Monitor emerging trends and advancements in ontology engineering, knowledge representation, and semantic technologies, translating insights into strategic recommendations.
  • Balance timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
  • Ensure end-to-end relevance to stakeholder needs, from gathering competency questions through to achieving successful integrations.

Required qualifications, capabilities, and skills
  • Master's in Artificial Intelligence, Computer Science, Information Science, Knowledge Representation, or a related field.
  • 10 years of experience developing enterprise-wide data or AI strategy for large, complex organizations.
  • Expertise in data and financial service standards such as ISO 20022, and semantic technologies including OWL, RDF, SKOS, and SHACL.
  • Structured thinker and effective communicator with excellent written and verbal communication skills, with the ability to articulate complex technical concepts to senior audiences with poise and confidence.

Preferred qualifications, capabilities, and skills
  • Experience applying financial sector ontologies and data standards in production or enterprise environments.
  • Experience with program management and collaborative development best practices in large-scale initiatives.
  • Understanding of large-scale, distributed, end-to-end data systems and architectures.
  • Knowledge of data governance and data management frameworks and their intersection with AI readiness.
  • PhD in Artificial Intelligence, Computer Science, Information Science, Knowledge Representation, or a related field.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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