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Data Executive Jobs (NOW HIRING)

Help build scalable operating systems supported by AI and data. Executive Support During Travel & Events * Capture discussions, commitments, and action items. * Coordinate follow-ups with investors ...

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

Help build scalable operating systems supported by AI and data. Executive Support During Travel & Events * Capture discussions, commitments, and action items. * Coordinate follow-ups with investors ...

Help build scalable operating systems supported by AI and data. Executive Support During Travel & Events * Capture discussions, commitments, and action items. * Coordinate follow-ups with investors ...

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 ...

Help build scalable operating systems supported by AI and data. Executive Support During Travel & Events * Capture discussions, commitments, and action items. * Coordinate follow-ups with investors ...

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 ...

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Data Executive information

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$26.5K

$93.6K

$184K

How much do data executive jobs pay per year?

As of Jul 17, 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 does a data executive do?

A data executive oversees an organization’s data strategy, ensuring data quality, security, and effective use for decision-making. They often manage data teams, develop policies, and work with tools like data management systems and analytics platforms to support business goals.

What is the highest paying data job?

The highest paying data jobs typically include Data Science Directors, Chief Data Officers, and senior Data Architects, with salaries often exceeding $150,000 annually. These roles require advanced skills in data management, analytics, and leadership, and often demand extensive experience and relevant certifications.

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.

Is 40 too late for data science?

Data executives and professionals in data science can successfully transition into the field at age 40 or older, as experience, analytical skills, and continuous learning are highly valued. Many data scientists pursue certifications, such as those in machine learning or data analysis, to enhance their qualifications regardless of age.

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.

What jobs make $1,000,000 a year?

In the context of a Data Executive, earning $1,000,000 annually is uncommon and typically involves executive-level roles such as Chief Data Officer or senior data-focused executives in large corporations, often supplemented by bonuses, stock options, or profit sharing. High earnings in data-related roles usually require extensive experience, advanced skills in data management and analytics, and leadership responsibilities. Most data professionals do not reach this income level solely through salary but may do so through executive compensation packages in major organizations.
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:
Infographic showing various Data Executive job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Data and Executive Operations Strategist

Data and Executive Operations Strategist

Lee Agency Inc

Muscatine, IA • On-site

Full-time

Posted 4 days ago


Job description

Salary: $50,000 annual

Data & Executive Operations Strategist

Lee Agency Muscatine Office

Summary / Objective

The Data & Executive Operations Strategist serves as a key partner to leadership, combining advanced data analytics with executive-level operational and administrative support. This role is responsible for transforming business data into actionable insights while driving organizational efficiency, supporting strategic initiatives, and ensuring seamless daytoday operations.

This position acts as a central hub between leadership, consulting teams, clients, and internal staffhelping to prioritize initiatives, improve processes, and deliver high-quality client service. The ideal candidate is a proactive, detail-oriented professional who can manage competing priorities, anticipate needs, and support data-driven decision making across the organization.

This hybrid role blends data analytics, executive support, operations, and client coordination into one strategic position that directly impacts organizational growth, efficiency, and client experience. The Data & Executive Operations Strategist plays a critical role in helping Lee Agency make smarter decisions, streamline processes, and deliver exceptional service.

Essential Functions

This list is not all-inclusive and may be expanded based on business needs.

Data Strategy & Analytics

  • Aggregate, analyze, and interpret business data to support decision-making and strategic initiatives
  • Develop and maintain data collection systems to improve statistical efficiency and data quality
  • Integrate data from multiple sources, ensuring accuracy, consistency, and integrity
  • Write queries, generate reports, and build dashboards for leadership and project teams
  • Identify trends, perform root cause analysis, and recommend process improvements
  • Partner with leadership to prioritize business and information needs

Executive & Strategic Support

  • Serve as a trusted partner to leadership, supporting initiatives from planning through execution.
  • Conduct research and prepare reports, presentations, and decision-support materials
  • Track strategic projects, monitor deliverables, and ensure timely follow-through
  • Align daily activities with organizational priorities and proactively anticipate needs

Operational & Administrative Management

  • Manage calendars, communications, meetings, and scheduling coordination for leadership
  • Coordinate internal and external meetings, agendas, and follow-up actions
  • Maintain organized systems for files, data, and operational processes
  • Support office operations and ensure smooth day-to-day workflow
  • Administer CRM systems and support data-driven client management processes

Consulting & Team Support

  • Support consulting teams (Risk, Nurse, HR, and affiliated groups) with coordination and data insights
  • Assist with scheduling, deliverables tracking, and project timelines
  • Prepare client-facing reports, presentations, and analytics
  • Facilitate cross-functional communication between teams and leadership

Client & Relationship Management

  • Serve as a professional point of contact for clients, partners, and internal stakeholders
  • Build strong relationships while delivering exceptional service
  • Handle sensitive and confidential communications with discretion

Process Improvement & Projects

  • Identify and implement opportunities to improve operational efficiency
  • Coordinate events, initiatives, and special projects across departments
  • Support continuous improvement efforts using data-driven insights

Culture & Communication

  • Promote a collaborative, professional work environment aligned with company culture
  • Demonstrate core values: Tell the Truth, Work Hard, Have Fun
  • Communicate clearly and effectively across all levels of the organization

Education & Experience

  • Bachelors degree in Data Analytics, Business, or related field preferred
    • Equivalent experience (57 years) in data analytics, operations, or executive support may be considered
  • Experience in data analysis, reporting, and business intelligence
  • Experience supporting executives, leadership teams, or client-facing operations preferred
  • Background in project coordination, consulting support, or operations is a plus
  • Familiarity with CRM systems, relational databases, and visualization tools
  • Preferred experience with NTT Software, QuickBooks, and 1099 processing
  • Basic accounting knowledge required

Knowledge, Skills & Abilities

  • Strong analytical and problem-solving skills
  • Exceptional organizational skills and attention to detail
  • Ability to manage multiple priorities in a fast-paced environment
  • Excellent written and verbal communication skills
  • High level of discretion and professionalism with confidential information
  • Proficiency in Microsoft Office (Excel, Word) and data tools
  • Ability to work independently and collaboratively
  • Strong interpersonal skills and relationship-building capability
  • Adaptability and flexibility to changing business needs

Physical Demands

  • Regularly required to sit, use hands, and communicate
  • Frequently required to stand, walk, and reach
  • Occasionally lift up to 25 pounds
  • Ability to work on a computer and travel as needed

Work Environment

  • Based in the Muscatine, Iowa office with occasional travel as needed
  • Fast-paced, business-casual office environment
  • Occasional travel to clients, meetings, or events