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Vp Of Data Science Jobs in Michigan (NOW HIRING)

... scientific innovation, and engineered solutions into clear customer value. The VP of Sales will ... Analyze sales performance data to identify risks, trends, and growth opportunities. * Ensure ...

Join Zeal Credit Union as the Vice President of Lending and elevate your career to a new level. This is an onsite role located at our corporate headquarters in Livonia, Michigan and is an exciting ...

Join Zeal Credit Union as the Vice President of Lending and elevate your career to a new level. This is an onsite role located at our corporate headquarters in Livonia, Michigan and is an exciting ...

Vice President of Operations - Plumbing amp; HVAC (Michigan) Location: Lansing, MI (or East of Lansing region) Industry: Mechanical Contracting - Plumbing amp; HVAC Organization: Multi-location ...

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Vp Of Data Science information

See Michigan salary details

$36.2K

$124.2K

$175.2K

How much do vp of data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for vp of 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 is the difference between Vp Of Data Science vs Data Science Manager?

AspectVp Of Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project execution, mentoring data scientists
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science and leadershipRelevant experience in data science, leadership skills, often a master's degree
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational, project-focused, team management within data science teams

The Vp Of Data Science holds a senior leadership role focused on strategic direction and organizational impact, while a Data Science Manager concentrates on managing teams and executing projects. Both roles require strong technical backgrounds, but the Vp's scope is broader, involving high-level decision-making and cross-functional collaboration.

What are some common challenges faced by a VP of Data Science when leading cross-functional teams?

A VP of Data Science often navigates challenges such as aligning data science initiatives with business goals, managing expectations across departments, and fostering effective communication between technical and non-technical stakeholders. Balancing the need for innovation with practical deliverables can be complex, especially when integrating data-driven insights into existing business processes. Successful VPs build strong relationships with product, engineering, and executive teams to ensure that data science projects deliver measurable value and support organizational growth.

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

To thrive as a VP of Data Science, you need deep expertise in statistical modeling, machine learning, and data analytics, backed by an advanced degree in a quantitative field and substantial leadership experience. Familiarity with tools such as Python, R, SQL, cloud platforms, and data visualization systems, as well as experience with data governance frameworks, is typically required. Exceptional communication, strategic vision, and the ability to mentor and lead cross-functional teams are vital soft skills in this role. These skills ensure the effective translation of data-driven insights into business strategies and foster innovation and alignment within the organization.

What does a VP of Data Science do?

A VP of Data Science is a senior executive responsible for leading an organization's data science strategy and teams. They oversee the development and implementation of data-driven solutions, manage data scientists and analysts, and collaborate with other business leaders to leverage data for strategic decision-making. Their role often includes setting the vision for data initiatives, ensuring the use of best practices in analytics and machine learning, and driving innovation through data. Additionally, they are responsible for aligning data science projects with overall business goals and ensuring measurable impact.
What are the most commonly searched types of Of Data Science jobs in Michigan? The most popular types of Of Data Science jobs in Michigan are:
What are popular job titles related to Vp Of Data Science jobs in Michigan? For Vp Of Data Science jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Vp Of Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $124,168 per year, or $59.7 per hour.

Full-time

Re-posted 20 days ago


Job description

Vice President of Sales

Location: Detroit, MI- Onsite

Type: Full-time

Security Clearance: No clearance required, must be clearable.

Job Description

The Vice President of Sales is a senior executive leader responsible for building and scaling the company’s global revenue organization across complex, highly technical, and often regulated markets. This role owns revenue strategy, sales execution, forecasting, and team leadership while translating advanced technologies, scientific innovation, and engineered solutions into clear customer value. The VP of Sales will lead enterprise and strategic sales motions, manage long and short sales cycles, partner cross-functionally with Product, Engineering, R&D, Marketing, Compliance, and Customer Success, and drive sustainable, repeatable growth.

Responsibilities

  • Define and execute the global sales strategy aligned to company objectives and market opportunities.
  • Own revenue targets, pipeline development, forecasting accuracy, and quota attainment.
  • Identify and develop new markets, verticals, and commercialization pathways.
  • Drive expansion, upsell, and cross-sell strategies within existing customer bases.
  • Build, lead, and scale high-performing sales and sales leadership teams.
  • Establish clear performance metrics, accountability frameworks, and compensation plans.
  • Implement structured onboarding, enablement, and continuous coaching programs.
  • Foster a disciplined, ethical, and customer-centric sales culture.
  • Oversee consultative, solution-based, and enterprise sales motions involving technical, scientific, and executive buyers.
  • Align sales execution with Marketing, Product, R&D, and Engineering on positioning, messaging, and roadmap priorities.
  • Support channel, partner, government, and strategic alliance strategies where applicable.
  • Manage complex deal structures, RFPs, procurement cycles, and contract negotiations.
  • Own CRM systems, pipeline health, and revenue reporting.
  • Analyze sales performance data to identify risks, trends, and growth opportunities.
  • Ensure forecasting rigor and transparent communication with executive leadership and the board.
  • Partner with Finance on budgeting, pricing, ROI modeling, and margin optimization.Personally engage in key strategic and high-value customer relationships.
  • Serve as the voice of the customer to inform product development and innovation.
  • Represent the company with executive credibility across commercial, government, academic, and institutional stakeholders.
  • Ensure compliance with regulatory, ethical, and industry standards across all sales activities.

Required Qualifications

  • Bachelor’s degree in Business, Engineering, Life Sciences, or a related field (MBA or advanced degree preferred).
  • 10–15+ years of progressive sales experience with senior leadership responsibility.
  • Proven success driving revenue growth in highly technical, scientific, industrial, or regulated markets.
  • Experience leading enterprise, strategic, or complex sales cycles.
  • Advanced manufacturing, automation, robotics, or industrial technologies.
  • Executive-level communication and presence.
  • Complex negotiation and contract leadership.
  • Cross-functional collaboration with technical and scientific teams.
  • Demonstrated ability to build, scale, and lead high-performance sales organizations.

Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017