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Executive Data Analytics Jobs in Michigan (NOW HIRING)

Experience presenting recommendations to senior executive stakeholders * Master of Business ... Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ...

Strong executive presence and ability to communicate complex concepts to both technical and non-technical stakeholders. Education/Experience: * 8+ years of experience in data, analytics, or AI ...

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Executive Data Analytics information

How does an executive data analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What is an executive data analytics?

Executive data analytics involves analyzing large datasets to support strategic decision-making at the leadership level. Professionals in this role use advanced tools and techniques to interpret data, generate insights, and communicate findings to executives to improve business performance.

What are the key skills and qualifications needed to thrive as an executive in data analytics?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

What is an executive data analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.
What are the most commonly searched types of Data Analytics jobs in Michigan? The most popular types of Data Analytics jobs in Michigan are:

EEO Compliance, AI & Analytics Specialist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 6 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers


Job description

Stellantis is seeking an EEO Compliance, AI & Analytics Specialist, who will have responsibility for ensuring compliance with federal, state, and local EEO laws through workplace investigations, data analytics, compliance monitoring, and strategic reporting. This role combines traditional EEO case management with AI-enabled technologies and workforce analytics to identify risk trends, improve reporting, enhance case management processes, and support proactive compliance and workplace culture initiatives. Partners closely with HR, Labor Relations, Legal, Operations, and business leaders to investigate workplace concerns and provide data-driven insights that strengthen organizational compliance and equity programs.
Key Responsibilities:
  • Conduct impartial investigations involving discrimination, harassment, retaliation, accommodations, and workplace conduct concerns.
  • Develop investigative plans, conduct interviews, analyze evidence, and prepare investigation reports.
  • Maintain case documentation and ensure compliance with employment laws and company policies.
  • Utilize AI-enabled tools to improve case management, trend analysis, workflow efficiency, and reporting accuracy.
  • Evaluate AI-generated insights for fairness, accuracy, legal defensibility, and Responsible AI compliance.
  • Analyze workforce and case data to identify trends, risks, policy gaps, and workplace culture indicators.
  • Develop dashboards, KPIs, executive reports, and presentations using Power BI, Excel, and other analytics tools.
  • Provide data-driven recommendations to improve employee experience and organizational effectiveness.

Core Competencies:
Integrity, strategic thinking, analytical capability, sound judgment, collaboration, executive communication, and continuous learning. Success is measured through investigation timeliness, compliance outcomes, reporting effectiveness, risk reduction, data quality, and AI governance compliance.
Basic Qualifications:
  • Bachelor's degree in HR, Business, Labor Relations, Data Analytics, Statistics, Legal Studies, or related field
  • Minimum of 5 years of experience in Employee Relations, Human Resources, Labor Relations, EEO Compliance, or Workplace Investigations
  • Experience conducting workplace investigations and preparing formal reports
  • Strong analytical, communication, project management, and problem-solving skills
  • Proficiency with Microsoft 365 tools, including Excel, Power BI, and PowerPoint
  • Ability to manage confidential and sensitive information

Preferred Qualifications:
  • Advanced degree or certifications in HR, Employment Law, Data Analytics, Business Intelligence, or AI
  • Professional certifications such as SHRM-CP / SHRM-SCP, EEO Investigator Certification, Data Analytics Certification, and/or AI Fundamentals Certification
  • Experience in manufacturing, unionized, or multi-site environments
  • Knowledge of EEO-related laws and regulations (Title VII, ADA, ADEA, FMLA, EEOC, OFCCP)
  • Experience with AI-enabled analytics, compliance monitoring, and AI governance practices

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