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Executive Predictive Analytics Jobs in Michigan (NOW HIRING)

Prepares executive-level dashboards and board reports summarizing compliance trends and insights ... predictive analytics. * Benchmarks compliance data practices against industry standards and best ...

Lead the integration of AI into global business and manufacturing operations, including predictive analytics, digital twins, and smart manufacturing. * Guide executive leadership on the strategic ...

... EV fleet management, predictive maintenance). * Achieve ambitious sales targets and KPIs ... Analyze sales data, market trends, and competitor activities within the commercial vehicle software ...

... EV fleet management, predictive maintenance). * Achieve ambitious sales targets and KPIs ... Analyze sales data, market trends, and competitor activities within the commercial vehicle software ...

... predictive capabilities, and operational intelligence. * Partner closely with executive leadership ... Experience delivering analytics and AI solutions that drive measurable business value.

... predictive capabilities, and operational intelligence. * Partner closely with executive leadership ... Experience delivering analytics and AI solutions that drive measurable business value.

Showing results 21-40

Executive Predictive Analytics information

What is an 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.

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 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.

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.

What are the most commonly searched types of Predictive Analytics jobs in Michigan?

The most popular types of Predictive Analytics jobs in Michigan are:

What cities in Michigan are hiring for Executive Predictive Analytics jobs?

Cities in Michigan with the most Executive Predictive Analytics job openings:

Full-time

Re-posted 5 days ago


Job description

Why AAA Life

AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them – and their families – when we’re needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.

How You’ll Work

  • Work Solution: Hybrid

What You'll Do

Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.

  • Data Strategy & Analytics
    • Collects, cleans, and analyzes data across compliance functions (e.g., complaints, AML, advertising review, agent conduct, privacy, licensing).
    • Builds and maintains data dashboards, metrics, and reporting tools to monitor compliance performance and detect emerging risks.
    • Partners with IT and business teams to automate data extraction and reporting workflows
  • Compliance Risk Detection & Prevention
    • Develops analytics models and trend analyses to identify patterns of potential misconduct or non-compliance.
    • Supports root-cause analysis of compliance events and partners with business areas to implement corrective actions.
    • Designs and monitors Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for compliance oversight.
  • Reporting & Visualization
    • Prepares executive-level dashboards and board reports summarizing compliance trends and insights.
    • Presents findings in clear, compelling narratives that support strategic decision-making.
    • Ensures data accuracy, integrity, and alignment with corporate governance standards.
  • Cross-Functional Collaboration
    • Collaborates with Legal, IT, Risk, and business partners to enhance the use of analytics in compliance monitoring.
    • Serves as a data liaison for regulatory exams, audits, and internal reviews.
    • Provides consultative analytics support for corporate initiatives and regulatory filings.
  • Innovation & Continuous Improvement
    • Identifies opportunities to enhance efficiency through RegTech, automation, and predictive analytics.
    • Benchmarks compliance data practices against industry standards and best practices.
    • Supports the development of analytical capabilities across the Compliance team.

Basic Required Qualifications

  • Demonstrated experience using data visualization tools (e.g., Power BI, Tableau) and databases (e.g., SQL, Access)
  • Knowledge of insurance or financial compliance, regulatory reporting, or data governance preferred
  • LOMA or AIRC designations desirable

Preferred Qualifications

  • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, or related field required; Master’s preferred
  • 5+ years of experience in data analytics, compliance, internal audit, or risk management within financial services or insurance

Position Success Criteria

  • Analytical & Technical Expertise: Demonstrates proficiency with SQL, Power BI, Tableau, Excel, or Python/R. Translates complex datasets into meaningful insights.
  • Regulatory Acumen: Understands the life insurance regulatory environment, data privacy principles, and compliance operations.
  • Achieves Results / Bias for Action: Delivers high-quality, data-driven outputs within tight timelines. Demonstrates urgency and precision.
  • Communication & Influence: Simplifies complex data for diverse audiences. Uses data storytelling to influence decisions.
  • Collaboration: Works cross-functionally and effectively balances business and compliance priorities.
  • Innovation: Pursues continuous improvement and emerging data tools that enhance compliance capabilities.

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.

This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.