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Director Predictive Analytics Jobs in Michigan (NOW HIRING)

Innovative Research

Marketing Director

Novi, MI

$85K - $100K/yr

We are seeking a dynamic, self-driven Marketing Director to lead and execute our marketing strategy ... Handson experience with AI marketing tools (e.g., generative AI for content, predictive analytics ...

Denso

Director- Data Analytics and AI

Southfield, MI · On-site

$181K - $226K/yr

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Experience with AI applications in manufacturing, quality inspection, predictive maintenance, or ...

JS Consulting

Global IT Director

Shelby Township, MI · On-site

Job Title- Global IT Director Project Location - Shelby Township, MI onsite Duration- Fulltime Visa ... including predictive analytics, digital twins, and smart manufacturing. * Guide executive ...

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Director Predictive Analytics information

What are the key skills and qualifications needed to thrive as a Director of Predictive Analytics, and why are they important?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What does a director of analytics do?

A director of analytics oversees data analysis teams to develop strategies that improve business performance through data-driven insights. They manage analytics projects, interpret complex data, and communicate findings to stakeholders, often using tools like SQL, Python, or Tableau. This role requires strong leadership, statistical knowledge, and experience in predictive modeling and data management.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Predictive Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require advanced skills in data modeling, leadership, and experience with tools like Python, R, or SQL, along with strategic decision-making responsibilities.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What skills are needed for predictive analytics?

Predictive analytics professionals need strong skills in statistical analysis, data modeling, and machine learning algorithms. Proficiency in programming languages such as Python or R, experience with data visualization tools, and knowledge of database management are also essential for success in this role.

Will AI replace big data?

As a Director of Predictive Analytics, you understand that AI enhances big data analysis by automating data processing and improving predictive models. AI tools like machine learning algorithms are used to extract insights from large datasets, but they complement rather than replace the need for big data infrastructure and skilled analysts. Both are essential for effective data-driven decision-making in organizations.

What are the typical collaboration points for a Director of Predictive Analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a Director of Predictive Analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.
What cities in Michigan are hiring for Director Predictive Analytics jobs? Cities in Michigan with the most Director Predictive Analytics job openings:
Director Predictive Analytics jobs near you
Director, Predictive Modeling and Machine Learning

Director, Predictive Modeling and Machine Learning

Credit Acceptance

Southfield, MI • On-site

$205K - $301K/yr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Credit Acceptance rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country.

Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!

The Director is a strategic, senior-level individual contributor who defines and drives the modeling strategy across credit risk, servicing, and collections. This role combines deep technical expertise with business acumen and cross-functional influence. While not initially a people manager, the Director may lead initiatives and mentor others, with potential to transition into formal leadership. Outcomes and Activities
  • Define and execute the strategic roadmap for predictive modeling and machine learning
  • Lead cross-functional initiatives integrating analytics into business processes
  • Oversee development, deployment, and monitoring of high-impact models
  • Serve as a strategic advisor to senior leadership on data strategy and innovation
  • Represent Predictive Analytics in regulatory, audit, and governance forums
  • Foster partnerships across the organization
Requirement:
  • Bachelor's in a quantitative discipline
  • 10+ years of experience in predictive modeling and machine learning
  • 6+ years of experience leading strategic initiatives or mentoring senior-level peers
  • Deep expertise in credit risk modeling and ML techniques
  • Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)
  • Strong understanding of cloud architecture and model lifecycle management
  • Proven ability to influence senior stakeholders
  • Experience with regulatory compliance in financial services
Preferred:
  • Ph.D. or Master's in a quantitative discipline
  • Experience in auto finance or consumer lending
  • Expertise with cloud platforms (AWS, Azure, GCP, etc.) and MLOps tools (MLflow, Kubeflow, etc.)

Target Compensation: $205,561 - $301,490 base salary + annual bonus

This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.

#LI-Remote

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Benefits

  • Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work

Our Company Values:

To be successful in this role, Team Members need to be:

  • Positive by maintaining resiliency and focusing on solutions
  • Respectful by collaborating and actively listening
  • Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
  • Direct by effectively communicating and conveying courage
  • Earnest by taking accountability, applying feedback and effectively planning and priority setting

Expectations:

  • Remain compliant with our policies processes and legal guidelines
  • All other duties as assigned
  • Attendance as required by department

Advice!

We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!

P.S.

We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk!

Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.

Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.

California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.

Play the video below to learn more about our Company culture.

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