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Vp Data Science Jobs in Michigan (NOW HIRING)

StockX

Vice President, Product

Detroit, MI

The VP will set long-term product strategy, align multi-product roadmaps to business goals, and ... Partner with Engineering, Data Science, and Legal teams to ensure AI-driven products are scalable ...

StockX

Vice President, Product

Detroit, MI · On-site

The VP will set long-term product strategy, align multi-product roadmaps to business goals, and ... Partner with Engineering, Data Science, and Legal teams to ensure AI-driven products are scalable ...

StockX

Vice President, Product

Detroit, MI · On-site

... Data Science, and Legal teams to ensure AI-driven products are scalable, secure, ethical, and ... Prior VP-level (or equivalent) leadership in high-growth, high-complexity environments. • ...

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 ...

Rock Connections

Manager, Data Science

Detroit, MI

You'll play a key role in shaping the direction of the Data Science organization by partnering with other leaders across the company and working alongside the Vice President of Data Science to evolve ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... PhD strongly preferred in Electrical Engineering, Computer Science, Control Systems, Applied ...

Lake Trust Credit Union

VP, Lending

Brighton, MI · On-site

Vice President, Lending More Than A Job! Why do you work each day? To us, our jobs are not just ... data driven decision making, and delivering exceptional member experiences that align with Lake ...

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All JobsVp Data Science JobsVp Data Science Jobs in Michigan

Vp Data Science information

See Michigan salary details

$36.2K

$124.2K

$175.2K

How much do vp data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for vp data science in Michigan is $124,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $145,100.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science, and why are they important?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

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 Vp Data Science jobs in Michigan? For Vp Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Vp Data Science jobs in Michigan look for? The top searched job categories for Vp Data Science jobs in Michigan are:
Vp Data Science jobs near you
Infographic showing various Vp Data Science job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,168 per year, or $59.7 per hour.

Vice President, Data Analytics & System Integrations

Pinnacle-MEP

Saint Clair Shores, MI

Full-time

Posted 25 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