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Executive Predictive Analytics Jobs (NOW HIRING)

To build Predictive Analytics solutions that endure, you must respond to changes in business ... Sales Executive - Washington DC Overview QxBranch is seeking a Sales Executive to drive revenue for ...

To build Predictive Analytics solutions that endure, you must respond to changes in business ... Sales Executive - Washington DC Overview QxBranch is seeking a Sales Executive to drive revenue for ...

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Tontitown, AR · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Rogers, AR · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Cassville, MO · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Gravette, AR · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Springdale, AR · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Noel, MO · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Greenland, AR · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Goshen, AR · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Johnson, AR · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Bentonville, AR · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Anderson, MO · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

Manager, Workforce Planning

Pea Ridge, AR · On-site

$80K - $155K/yr

Predictive Analytics * Statistical Forecasting * Data-Driven Decision Making * Executive Communication * Business Acumen * Cross-Functional Collaboration * Innovation * Continuous Improvement Why ...

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Showing results 1-20

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 31, 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.
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:
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.

Director of Predictive Analytics - Insurance

Orion180

Melbourne, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

At Orion180, we don't just stand out for what we do; we shine because of how we do it. Our mission is to deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products. Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry.
Orion180 is proud to call three vibrant cities home. Our headquarters on Florida's stunning Space Coast in Melbourne offers an exceptional quality of life, with affordable housing, excellent transportation, and close proximity to major cities like Orlando, Tampa, and Miami. Our Irving, Texas, office places us in a dynamic center of culture, business, and entertainment, keeping us closely connected to innovation and growth. Our Draper, Utah, location, nestled in the heart of the Salt Lake Valley, connects us to a rapidly growing tech ecosystem and provides access to the outdoor lifestyle and natural beauty the region is known for.
JOIN OUR TEAM AS DIRECTOR OF PREDICTIVE ANALYTICS
At Orion180, we believe the future of insurance belongs to organizations that can transform data into a deeper understanding of risk. Predictive and predictive modeling are not a support function-they are core strategic capability dictates how we grow, price risk, optimize our portfolio, and maintain a sustainable competitive advantage.
As the Director of Predictive Analytics for property catastrophe insurance, you will lead our data science and modeling teams to measure, price, and manage risks from natural catastrophes and man-made hazards. In this role, you will shape Orion180's "view of risk" by overseeing the development of advanced AI-driven statistical and machine learning models that influence underwriting strategy, ratemaking, portfolio management, claims forecasting, and business planning.
Positioned as a key leader within Enterprise Risk Management, you will drive initiatives that support our expansion into new markets and products. This role is both strategic and hands-on, offering a unique opportunity to join a growing organization where your work has direct executive visibility and measurable business impact.
WHAT YOU'LL DO:
  • Predictive Model Development: Build and oversee machine learning models to predict the frequency and severity of property damage from natural disasters.
  • Catastrophe Modeling Management: Establish and lead an analytics team to develop high-resolution supplementary analytical tools, underwriting solutions, pricing frameworks, and hazard maps.
  • Exposure & Risk Validation: Assist the exposure management and risk accumulation teams in validating and adjusting vendor and in-house models to develop a consistent view of climate risks, pricing, reserving, and capital models.
  • Stakeholder Communication: Translate complex analytical findings and modeling concepts into clear, actionable business strategies for executive leadership.
  • Cross-Functional Collaboration: Partner closely with Underwriting, Actuarial, Claims, Finance, and Risk Management teams to ensure pricing and risk appetite align with corporate goals.

WHAT WE'RE LOOKING FOR:
Education & Experience
  • Master's degree in Statistics, Data Science, Mathematics, Engineering, Actuarial Science, or a related quantitative field with 7+ years of relevant experience (PhD preferred).
  • Proven track record of developing, deploying, and monitoring predictive models within the property catastrophe insurance space.
  • Deep understanding of global reinsurance markets, regulatory environments, and commercial vendor models (e.g., RMS, AIR Worldwide, KatRisk).

Technical Skills
  • Programming & Frameworks: Proficiency in Python, R, and SQL, along with machine learning frameworks (e.g., scikit-learn, Random Forests, XGBoost).
  • Statistical Modeling: Advanced knowledge of pricing models, Generalized Linear Models (GLMs), and time-series forecasting for claims or weather-driven perils.
  • Geospatial Analytics: Background in GIS and geospatial modeling.
  • Cloud & MLOps: Experience building scalable data pipelines and managing models within cloud environments (AWS, Azure, or GCP) using MLOps tools (e.g., MLflow, SageMaker, Vertex AI).
  • Governance: Familiarity with insurance model governance, compliance, and documentation standards

WHAT'S IN IT FOR YOU:
Join Our Team & Make an Impact! At Orion180, we don't just meet expectations, we exceed them. If you're ready to take your career to the next level and be part of a growing, forward-thinking company, apply today!
  • Dynamic Environment: On-site role with a fast-paced and collaborative team culture. Results-driven office where your contributions make a real impact.
  • Compensation: Competitive base pay and performance bonuses.
  • Career Growth: Mentorship, growth tracks, and professional development.
  • Benefits: Medical, dental, vision, 401k, paid holidays, PTO and more!

The office environment is fast-paced and collaborative. An employee must be willing and able to work their regularly assigned work schedule onsite, and in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands.
While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (<25 lbs); and using standard office equipment such as computers, printers, and phones. In addition, there is an occasional need to bend, twist, or squat down to open/close cabinets and reach for files or other standard office-type objects.
Orion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Reasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may email hr@orion180.com to request assistance.