ZipRecruiter

Log In

1

Executive Predictive Analytics Jobs (NOW HIRING)

CACI International, Inc.

Data Scientist

Alexandria, VA · On-site

Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings. * Conduct exploratory data ...

CARFAX

Senior Manager - Business Analytics

Centreville, VA · On-site

$115K - $200K/yr

... executive leadership team. At CARFAX, we believe in the power of teamwork and value in-person ... Help lead the transition from descriptive to predictive analytics. You will "bring AI to life" by ...

GD Resources LLC

Data Scientist - Remote Role

Develop fraud detection algorithms using statistical modeling and predictive analytics. * Perform ... Produce dashboards, reports, executive briefings, and interactive visualizations using Power BI and ...

next page

Showing results 1-20

All JobsPredictive Analytics JobsExecutive Predictive Analytics Jobs

Executive Predictive Analytics information

See salary details

$26.5K

$93.6K

$184K

How much do executive predictive analytics jobs pay per year?

As of Jul 11, 2026, the average yearly pay for executive predictive 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 are the key skills and qualifications needed to thrive as an Executive in Predictive Analytics, and why are they important?

To thrive as an Executive in Predictive Analytics, you need advanced expertise in statistical analysis, data modeling, and business strategy, usually supported by a degree in data science, statistics, or a related field. Familiarity with analytics platforms such as SAS, R, Python, and big data tools, as well as certifications like Certified Analytics Professional (CAP), is highly beneficial. Exceptional leadership, communication, and strategic decision-making abilities set standout executives apart in this field. These skills enable leaders to drive data-informed organizational growth, align analytics initiatives with business objectives, and foster innovation across teams.

How does an Executive Predictive Analytics professional typically collaborate with other departments to drive business outcomes?

An Executive Predictive Analytics professional often works closely with teams across marketing, finance, operations, and IT to align advanced analytics initiatives with broader business goals. They translate complex data insights into actionable strategies, facilitating data-driven decision-making at the executive level. Regular cross-functional meetings and workshops are common to ensure that predictive models are integrated into business processes and that stakeholders understand their impact. Collaboration is key, as these executives must communicate technical findings in an accessible way to influence strategic planning and organizational change.

What are Executive Predictive Analytics?

Executive Predictive Analytics refers to the use of advanced data analysis techniques and machine learning models by organizational leaders to forecast future business outcomes and inform strategic decisions. Executives use predictive analytics to anticipate market trends, identify risks and opportunities, and optimize resource allocation. This role requires a combination of business acumen, data science knowledge, and the ability to translate complex data into actionable insights for high-level decision-making.

What does a predictive analyst do?

A predictive analyst uses statistical models and data analysis techniques to forecast future trends and behaviors. They work with large datasets, employ tools like SQL and Python, and interpret results to support decision-making in organizations. Strong analytical skills and knowledge of machine learning are essential for this role.

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 advanced skills in data strategy, leadership, and often a background in predictive analytics or data science, with compensation reaching into seven figures in some cases.

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

AspectExecutive Predictive AnalyticsData Scientist
Required CredentialsOften requires advanced degrees in business, analytics, or related fields; certifications in analytics toolsTypically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis
Work EnvironmentStrategic, executive-level settings; focuses on business impact and decision-makingTechnical environment; involves data modeling, coding, and statistical analysis
Employer & Industry UsageUsed in corporate strategy, finance, marketing, and operations departmentsEmployed across tech, finance, healthcare, and research organizations

While both roles involve data analysis and predictive modeling, Executive Predictive Analytics focuses on strategic insights for leadership decision-making, whereas Data Scientists handle technical data modeling and algorithm development. The roles often overlap but differ mainly in scope and target audience.

Is 40 too late for data science?

For an executive predictive analytics role, age is generally not a barrier if you have relevant skills, experience, and knowledge of tools like Python, R, and machine learning algorithms. Many professionals transition into data science or analytics later in their careers, leveraging their domain expertise and analytical skills. Continuous learning and certifications can also enhance your qualifications regardless of age.

Is AI taking over analytics jobs?

Executive Predictive Analytics professionals use AI tools and machine learning algorithms to analyze data and generate insights. While AI automates certain tasks, these roles require expertise in interpreting results, developing models, and making strategic decisions, so AI complements rather than replaces analytics jobs.
More about Executive Predictive Analytics jobs
What cities are hiring for Executive Predictive Analytics jobs? Cities with the most Executive Predictive Analytics job openings:
What are the most commonly searched types of Predictive Analytics jobs? The most popular types of Predictive Analytics jobs are:
What states have the most Executive Predictive Analytics jobs? States with the most job openings for Executive Predictive Analytics jobs include:
What job categories do people searching Executive Predictive Analytics jobs look for? The top searched job categories for Executive Predictive Analytics jobs are:
Executive Predictive Analytics jobs near you
Infographic showing various Executive Predictive Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Data Scientist

Data Scientist

CACI International, Inc.

Alexandria, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Job description

Job Title: Data Scientist
Job Category: Intelligence
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 50%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a Data Scientist to support Joint Interagency Task Force 401 (JIATF 401). The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational, intelligence, and mission data into predictive insights and decision-support products. This position requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and develop innovative analytical solutions supporting senior military and civilian leadership.
Responsibilities:
  • Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.
  • Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
  • Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.
  • Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.
  • Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.
  • Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings.
  • Conduct exploratory data analysis, feature engineering, model validation, and performance optimization to improve analytical accuracy and operational effectiveness.
  • Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
  • Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.
  • Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.
  • Research, evaluate, and integrate emerging AI technologies, machine learning frameworks, and advanced analytical methodologies to improve mission performance.
  • Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior military and civilian leadership.
  • Ensure analytical models comply with applicable security, governance, validation, and data integrity requirements.
  • Identify opportunities to improve AI-enabled workflows, analytical automation, predictive modeling capabilities, and enterprise decision-support systems.

Qualifications:
Required:
  • Active Top Secret/SCI Clearance.
  • MA/MS with 10+ years' experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.
  • Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise analytics and data integration platforms.
  • Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.
  • Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.
  • Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
  • Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.
  • Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
  • Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.
  • Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, executive briefings, and presentation materials.
  • Ability to communicate complex analytical concepts and model outputs to senior military and civilian leadership in a clear and actionable manner.
  • Proven ability to collaborate across multidisciplinary technical and operational teams.

Desired:
  • Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
  • Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
  • Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
  • Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, predictive maintenance, threat forecasting, or autonomous systems.
  • Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
  • Experience supporting operational research, capability development, technology evaluations, acquisition decision-making, or advanced mission analytics within defense organizations.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,400 - $198,200
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Apply