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Vice President Data Science Jobs in Michigan (NOW HIRING)

Eccalon LLC

Vice President of Sales

Detroit, MI

Analyze sales performance data to identify risks, trends, and growth opportunities. * Ensure ... Bachelor's degree in Business, Engineering, Life Sciences, or a related field (MBA or advanced ...

UNAVAILABLE

Vice President, Audiences

Birmingham, MI · On-site

$168.15 - $230.10/hr

The VP will guide teams in leveraging audience data tools, such as Epsilon Clean Room, CDPs, and other Publicis and 3P data platforms, to optimize media planning and execution across multiple ...

Ilitch

VP, Finance

Detroit, MI

The Vice President, Finance for Olympia Development of Michigan (ODM) is a key financial leader ... Champion data governance and standardized definitions to enable reliable cross-entity reporting.

New

Sun, Inc.

VP, Asset Management

Southfield, MI · On-site +1

Career Site Header Job Summary The VP, Asset Management supports the strategic oversight of a ... Experience with systems implementation, internal process development, or enterprise data management ...

Sun RV Resorts

VP, Asset Management

Southfield, MI · On-site +1

Career Site Header Job Summary The VP, Asset Management supports the strategic oversight of a ... Experience with systems implementation, internal process development, or enterprise data management ...

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Vice President Data Science information

See Michigan salary details

$37.9K

$137.3K

$241.9K

How much do vice president data science jobs pay per year?

As of Aug 28, 2026, the average yearly pay for vice president data science in Michigan is $137,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $165,600.00 per year, depending on experience, location, and employer.

What does a vice president of data science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What does a vice president of data science do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

What are the key skills and qualifications needed to thrive as a vice president of data science, and why are they important?

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What are some common challenges faced by a vice president of data science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

More about Vice President Data Science jobs

What are the most commonly searched types of Data Science jobs in Michigan?

The most popular types of Data Science jobs in Michigan are:

What are popular job titles related to Vice President Data Science jobs in Michigan?

For Vice President Data Science jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Vice President Data Science jobs in Michigan look for?

The top searched job categories for Vice President Data Science jobs in Michigan are:

What cities in Michigan are hiring for Vice President Data Science jobs?

Cities in Michigan with the most Vice President Data Science job openings:

Vice President Data Science jobs near you
Infographic showing various Vice President Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $137,304 per year, or $66 per hour.

Vice President, Data Analytics & System Integrations

Pinnacle-MEP

Saint Clair Shores, MI

Full-time

Re-posted 28 days ago

Job description

Vice President, Data Analytics & System Integrations

The Vice President of Data Analytics & System Integrations will lead the strategy, development, and execution of Pinnacle MEP’s data, reporting, and systems integration capabilities across a growing portfolio of operating companies. This role is responsible for transforming data into actionable insights, standardizing reporting across OpCos, and ensuring seamless integration of key business systems to drive operational efficiency, scalability, and informed decision-making.

This leader will partner closely with executive leadership, finance, operations, and IT to build a data-driven organization and support Pinnacle’s growth strategy, with a strong emphasis on leveraging platforms such as Power BI and BuildOps to enhance visibility and performance across the business.

Data Strategy & Analytics

  • Develop and execute a company-wide data and analytics strategy aligned with business objectives
  • Build and oversee centralized reporting and dashboarding across all OpCos, with a strong focus on Power BI
  • Design and implement scalable Power BI reporting solutions to provide real-time visibility into operational and financial performance
  • Translate operational and financial data into actionable insights to drive performance
  • Establish KPIs and standardized metrics across business units

Systems Integration & Optimization

  • Lead integration of core systems (ERP, CRM, field service management, HRIS) across OpCos
  • Serve as a subject matter expert in BuildOps, optimizing its use across the platform and ensuring alignment with reporting and operational needs
  • Evaluate and implement tools to improve data visibility and system connectivity
  • Partner with IT and external vendors to ensure scalable, efficient system architecture
  • Drive post-acquisition system integration for new OpCos, including BuildOps adoption and data standardization

Operational & Cross-Functional Leadership

  • Partner with OpCo leadership to understand operational needs and improve reporting capabilities
  • Collaborate with Finance on forecasting, performance tracking, and data accuracy
  • Support M&A efforts through data integration and reporting alignment
  • Act as a key advisor to executive leadership on data-driven decision making

Data Governance & Quality

  • Establish and maintain data governance standards and best practices
  • Ensure accuracy, consistency, and integrity of data across platforms, including BuildOps and other core systems
  • Develop processes for data validation, auditing, and continuous improvement

Team Leadership

  • Build and lead a high-performing analytics and systems team
  • Manage internal resources and external partners/consultants
  • Foster a culture of accountability, innovation, and continuous improvement

Qualifications

  • 10+ years of experience in data analytics, business intelligence, or systems integration, with progressive leadership responsibility
  • Experience in a PE-backed, multi-entity, or roll-up environment strongly preferred
  • Proven track record of building scalable data infrastructure and reporting frameworks
  • Advanced experience with Power BI, including dashboard development, data modeling, and visualization best practices
  • Direct experience working with BuildOps, including system optimization, reporting, and integration
  • Strong understanding of ERP, CRM, and field service platforms (e.g., ServiceTitan, NetSuite, Salesforce, etc.)
  • Experience leading system integrations in M&A environments
  • Strong business acumen with the ability to connect data to operational and financial outcomes
  • Excellent leadership, communication, and stakeholder management skills

Key Competencies

  • Strategic thinker with strong execution focus
  • High sense of ownership and urgency
  • Ability to operate in a fast-paced, evolving environment
  • Strong problem-solving and analytical mindset
  • Collaborative and influential leader

Why Join Pinnacle MEP

  • Opportunity to build and scale a data-driven function from the ground up
  • High visibility role with direct impact on growth and operational performance
  • Work across a diverse portfolio of OpCos in a rapidly growing platform

Apply