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Executive Predictive Analytics Jobs (NOW HIRING)

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OR · On-site

$86K - $107K/yr

... executive-ready reporting. Support leadership with actionable recommendations based on data analysis and predictive insights. Data Governance & Privacy Compliance: Ensure adherence to data governance ...

Microsoft AI

Senior Applied Scientist

Redmond, WA · On-site

... senior executives in making key business decisions. Qualifications : Required : • Bachelor ... predictive analytics, research) • OR Master's Degree in Statistics, Econometrics, Computer ...

Microsoft AI

Applied Scientist II

Redmond, WA · On-site

... senior executives in making key business decisions. Qualifications : Required : • Bachelor ... e.g., statistics, predictive analytics, research) • OR Master's Degree in Statistics ...

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Executive Predictive Analytics information

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$26.5K

$93.6K

$184K

How much do executive predictive analytics jobs pay per year?

As of Jun 20, 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 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 extensive experience, strategic leadership skills, and expertise in data management, analytics tools, and business integration.

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 not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data management. Age diversity is common in the field, and employers value expertise and practical knowledge over age.

Is predictive analytics a good career?

Predictive analytics is a strong career choice for those interested in data analysis, statistics, and machine learning. It involves developing models to forecast future trends, often requiring skills in programming, data management, and tools like Python or R. The demand for professionals in this field is growing across industries such as finance, healthcare, and marketing.

Is AI taking over analytics jobs?

Executive Predictive Analytics roles involve using AI and machine learning tools to analyze data and generate insights. While AI automates certain tasks, these jobs also require expertise in interpreting results, developing models, and strategic decision-making, making human oversight essential. AI complements rather than replaces analytics professionals in most environments.
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Executive Predictive Analytics jobs near you
Infographic showing various Executive Predictive Analytics job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Data Science, AI & Analytics Lead with Security Clearance

Data Science, AI & Analytics Lead with Security Clearance

Forward Edge AI, Inc

Saint Paul, MN

Other

Posted 2 days ago

Job description

Data Science, AI & Analytics Lead Location: Fort Snelling, MN Work Arrangement: Hybrid (Must reside within 50 miles of Fort Snelling, MN)
Clearance: Active Secret Clearance Required
Employment Type: Full-Time Position Overview Forward Edge-AI is seeking a Data Science, AI & Analytics Lead to support the U.S. Army Reserve CIO/G-6. This position will lead enterprise data analytics, artificial intelligence, machine learning, visualization, and data governance initiatives that enable data-driven decision-making, operational readiness, and digital transformation across the Army Reserve enterprise. The ideal candidate will provide technical leadership for advanced analytics programs, develop executive-level dashboards and reporting solutions, guide AI/ML implementation efforts, and ensure compliance with enterprise data governance and quality standards. This role requires the ability to communicate complex analytical findings to senior military and civilian leadership and translate data into actionable business insights. Work Location Requirement This is a hybrid position. Candidates must reside within 50 miles of Fort Snelling, MN and be available to work on-site as required to support meetings, stakeholder engagements, workshops, and Government-directed activities. Candidates must be able to obtain and maintain installation access. Key Responsibilities * Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions * Design and deliver executive dashboards, reports, scorecards, and visualizations using Power BI and other approved analytics platforms * Analyze structured and unstructured data to support operational readiness, strategic planning, and executive decision-making * Oversee enterprise data integration, ETL processes, API development, and data engineering activities * Establish and maintain data governance frameworks, metadata standards, and data quality controls * Identify authoritative data sources and ensure compliance with Army and DoD data strategies * Evaluate emerging technologies and recommend innovative solutions that support enterprise modernization initiatives * Brief senior military and civilian leadership on analytical findings, recommendations, and program performance * Collaborate with stakeholders, data engineers, analysts, and technical teams to deliver mission-focused solutions * Support Agile, DevSecOps, and modern data platform practices * Provide technical leadership and mentorship to analytics and data teams Required Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field * Minimum of five (5) years of experience in data science, analytics, AI/ML, business intelligence, or related disciplines * Experience developing predictive models, machine learning solutions, and advanced analytics products * Proficiency with Python, SQL, Power BI, Azure Machine Learning, Databricks, or similar analytics platforms * Experience with data integration, ETL development, and enterprise data management * Strong understanding of data governance, data quality, metadata management, and data stewardship * Experience supporting federal agencies, Department of Defense organizations, or large enterprise environments * Active Secret Security Clearance * U.S. Citizenship required * Ability to communicate complex technical concepts to executive and non-technical audiences Preferred Qualifications * Experience supporting Army, DoD, or federal data and analytics programs * Experience with Army Vantage, Advana, Azure cloud environments, or similar enterprise platforms * Microsoft, Azure, AI/ML, Data Analytics, Agile, or Project Management certifications * Experience leading cross-functional technical teams * Experience briefing General Officer, Senior Executive Service, or executive-level stakeholders Why Forward Edge-AI At Forward Edge-AI, you will work alongside mission-focused professionals delivering cutting-edge AI, analytics, and data solutions that directly support national defense objectives. Join a team committed to innovation, collaboration, and advancing the future of data-driven decision-making across the Department of Defense.

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