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Executive Predictive Analytics Jobs in Michigan (NOW HIRING)

Expleo

Aftersales 12V Technical & Data Specialist

Troy, MI · On-site

$65K - $110K/yr

... predictive analytics applications. * Knowledge of automotive aftersales systems, warranty processes, and dealer operations. * Experience developing executive dashboards and business intelligence ...

Expleo

Aftersales 12V Technical & Data Specialist

Troy, MI · On-site

$65 - $110/hr

... predictive analytics applications. * Knowledge of automotive aftersales systems, warranty processes, and dealer operations. * Experience developing executive dashboards and business intelligence ...

Expleo

Aftersales 12V Technical & Data Specialist

Troy, MI · On-site

$65K - $110K/yr

... predictive analytics applications. * Knowledge of automotive aftersales systems, warranty processes, and dealer operations. * Experience developing executive dashboards and business intelligence ...

DSJ Global

Senior Controls Engineer

Whitehall, MI

$92K - $121K/yr

... predictive analytics, and real-time operational insights into production processes. Key ... Our aim is simple, to provide executive search level services which are flexible and tailored to ...

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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:

Executive Predictive Analytics jobs near you

Senior AI Solutions Lead (Automotive / Retail / Manufacturing)

Cogent IBS, Inc

Detroit, MI • On-site

Other

Posted 27 days ago

Job description

Experience
5 10 years of experience in Data Analytics, Digital Transformation, AI, Machine Learning, or Advanced Analytics.
2 3 years of hands-on experience delivering AI or Generative AI use cases with measurable business results.
Industry experience in Automotive, Retail, Aftermarket Parts & Service, Supply Chain & Logistics, or E-commerce.

AI Certifications (Required)
One or more of the following:
One or more recognized AI certifications, such as Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, Databricks Machine Learning Certification, Microsoft Applied AI, or equivalent Generative AI certification. Preferred Qualifications
Experience with Automotive Service Parts, Dealer Operations, Customer Experience, Retail Analytics, Supply Chain, or Manufacturing.
Experience implementing predictive analytics, recommendation engines, demand forecasting, digital assistants/chatbots, Generative AI, knowledge management, or agentic AI workflows.
Experience presenting AI business cases to executive leadership and working with enterprise AI platforms such as Microsoft Copilot, Azure OpenAI, Snowflake AI, or Databricks.
Master''''''''''''''''s degree preferred (MBA, MS, Data Science, AI, Machine Learning, or equivalent).

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