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Data Strategy Jobs in Michigan (NOW HIRING)

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the ...

Hylant

Lead Data & Analytics Architect

Detroit, MI · On-site

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Hylant

Lead Data & Analytics Architect

Grand Rapids, MI · On-site

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Hylant

Lead Data & Analytics Architect

Ann Arbor, MI · On-site

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Hart

Junior Data Analyst

Detroit, MI · On-site

For over 60 years, Hart has been a valued strategic and creative partner to brands aiming to reach ... SUMMARY We're looking for a proactive and insightful Junior Data Analyst to join our Analytics team.

G-TECH Services, Inc.

Be Seen First

LMS Operations & Data Strategist

Warren, MI · On-site

$34 - $36/hr

Position Summary Our client is seeking an LMS Operations & Data Strategist to support global learning operations by driving Learning Management System (LMS) administration, data analysis, compliance ...

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All JobsData Strategy JobsData Strategy Jobs in Michigan

Data Strategy information

See Michigan salary details

$21.5K

$100K

$185.7K

How much do data strategy jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data strategy in Michigan is $99,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,888.00 and $127,335.00 per year, depending on experience, location, and employer.

What is a data strategy?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What are some typical projects or initiatives a data strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements plans to collect, analyze, and utilize data to support business goals. They identify data needs, establish data governance standards, and work with teams to ensure data-driven decision-making using tools like analytics platforms and data management systems.

What are the key skills and qualifications needed to thrive in data strategy?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

What does a data strategy do?

A data strategy defines how an organization manages, uses, and governs its data to support business goals. A data strategist develops plans for data collection, storage, quality, security, and analytics, often utilizing tools like data management platforms and analytics software. This role ensures data is accurate, accessible, and aligned with organizational priorities.
What are the most commonly searched types of Data Strategy jobs in Michigan? The most popular types of Data Strategy jobs in Michigan are:
What are popular job titles related to Data Strategy jobs in Michigan? For Data Strategy jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Strategy jobs in Michigan look for? The top searched job categories for Data Strategy jobs in Michigan are:
Data Strategy jobs near you
Infographic showing various Data Strategy job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,969 per year, or $48.1 per hour.

Senior Director Data Analytics & AI

Venteon

Novi, MI • On-site

Full-time

Re-posted 5 days ago

Job description


Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth, operational excellence, and digital transformation.
Key Responsibilities
  • Define and execute enterprise-wide data, analytics, and AI strategies aligned with business objectives.
  • Develop and lead a multi-year roadmap encompassing MDM, data governance, analytics platforms, and AI/GenAI capabilities.
  • Establish and mature enterprise Master Data Management processes across key domains including Customer, Product, Supplier, Pricing, and Asset data.
  • Lead enterprise data governance initiatives including data quality, stewardship, lineage, metadata management, and compliance standards.
  • Oversee modern data architecture initiatives including data platforms, lakehouse environments, real-time integration, and scalable AI-ready ecosystems.
  • Drive the development and deployment of high-value analytics and AI solutions supporting commercial performance, forecasting, customer insights, predictive capabilities, and operational intelligence.
  • Partner closely with executive leadership, business stakeholders, engineering, and IT teams to identify and deliver data-driven business outcomes.
  • Build, mentor, and lead high-performing global teams across data engineering, analytics, governance, and data science disciplines.
  • Establish scalable operating models and best practices for delivering reusable data products and AI capabilities.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline; advanced degree preferred.
  • 12+ years of progressive leadership experience within enterprise data, analytics, MDM, and AI organizations.
  • Proven success leading enterprise-scale data transformation and Master Data Management initiatives.
  • Deep understanding of data governance, modern data architectures, and enterprise data platforms.
  • Experience delivering analytics and AI solutions that drive measurable business value.
  • Demonstrated success leading global teams and large-scale transformational programs.
  • Experience with MDM technologies, data quality frameworks, metadata management, and AI/ML platforms is highly preferred.
  • Manufacturing, industrial, aftermarket, or asset-intensive industry experience strongly preferred.
  • Executive presence with the ability to influence and collaborate across all levels of the organization.

What Success Looks Like
  • Improved enterprise data quality, governance, and consistency.
  • Increased adoption and measurable business impact from analytics and AI initiatives.
  • Accelerated delivery of scalable data products and AI capabilities.
  • Enhanced commercial performance, operational efficiency, and customer experience through data-driven decision making.

If you are a high performer and would like to work for an equally high performing company and you think the above opportunity is appropriate for you, we invite you to submit your resume in Microsoft Word format to slewis@venteon.com
We treat all resumes with strict confidentiality. We will always contact you first before submitting your resume to our client(s) for review. If you do not receive correspondence, you are not a fit for this position.
At Venteon our talent acquisition team is proud to provide our clients with the most qualified Accounting & Finance, Engineering, IT and Administrative talent in the industry today.

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