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Data Governance Platform Jobs in Michigan (NOW HIRING)

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 ...

Strong understanding of data architecture principles, data modeling techniques, and data governance practices. * Technical Skills: * Cloud Computing: Expertise with Google Cloud Platform (GCP) data ...

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Governance & Quality * Cloud Data Platforms * Agile/Scrum * KPI & Metrics Development * API and Data Services Management * Stakeholder Management Success Metrics * Data product adoption and user ...

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

Skills Required: · Code Assessment · GCP · Data Architecture · Endpoint Security · Google Cloud Platform · Data Governance · Cloud Infrastructure · Extract Transform Load (Etl) · Big Query ...

Tool and Platform Selection: Evaluate, recommend & implement tools aligned with recommended ... Enforce data governance policies through the data catalog, ensuring data quality, security ...

SAP Platform Security Architect

Dearborn, MI · On-site

$74.30 - $166.20/hr

  • Medical

  • Dental

  • Vision

  • PTO

AI Governance * Model Access Controls * Data Privacy * Responsible AI * Agent-to-Agent integrations ... Platform Governance Across Product Teams * Provide architecture oversight for over 60 Product Teams ...

New

Data and AI Enterprise Architect

Detroit, MI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... platforms, AI enablement, and data governance . The ideal candidate will help advance organizational directives around simplification, modernization, and innovation by providing architectural ...

Data and AI Enterprise Architect

Livonia, MI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... platforms, AI enablement, and data governance . The ideal candidate will help advance organizational directives around simplification, modernization, and innovation by providing architectural ...

Data and AI Enterprise Architect

Ann Arbor, MI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... platforms, AI enablement, and data governance . The ideal candidate will help advance organizational directives around simplification, modernization, and innovation by providing architectural ...

Data and AI Enterprise Architect

Kaleva, MI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... platforms, AI enablement, and data governance . The ideal candidate will help advance organizational directives around simplification, modernization, and innovation by providing architectural ...

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Marketing Data Domain Lead owns Learning Care's Marketing Data Domain end-to-end, serving as the primary owner of marketing data platforms, integrations, governance, and data products across ...

New

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Marketing Data Domain Lead owns Learning Care's Marketing Data Domain end-to-end, serving as the primary owner of marketing data platforms, integrations, governance, and data products across ...

New

Showing results 21-40

Data Governance Platform information

What is a data governance platform?

A Data Governance Platform is a software solution designed to help organizations manage, monitor, and control their data assets effectively. It provides tools and frameworks for ensuring data quality, security, privacy, and compliance with regulations. These platforms enable companies to define data ownership, establish policies, track data lineage, and facilitate collaboration among stakeholders. By using a data governance platform, businesses can improve data transparency, reduce risks, and make more informed decisions.

What are the key skills and qualifications needed to thrive as a data governance platform specialist?

To thrive as a Data Governance Platform Specialist, you need a solid understanding of data management principles, metadata, data quality, and compliance frameworks, often supported by a degree in information systems or a related field. Familiarity with data governance platforms such as Collibra, Informatica, or Alation, as well as relevant certifications like CDMP, is typically required. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring data integrity, regulatory compliance, and effective collaboration across business and IT teams.

What are some common challenges faced by professionals working with a data governance platform, and how can they be addressed?

Professionals working with a Data Governance Platform often encounter challenges such as ensuring data quality across disparate systems, securing stakeholder buy-in, and maintaining regulatory compliance. Addressing these challenges typically involves collaborating closely with IT, business teams, and data stewards to establish clear data ownership, standardized processes, and ongoing training. Regular communication, well-documented policies, and leveraging platform features for automation and monitoring can help teams proactively manage these complexities and support organizational data initiatives.

What is the difference between Data Governance Platform vs Data Analyst?

AspectData Governance PlatformData Analyst
CredentialsCertifications in data management, data governance, or related fieldsDegrees in statistics, data science, or related fields; often certifications in analytics tools
Work EnvironmentTypically enterprise-level, IT-focused teams managing data policiesBusiness units, analytics teams, or data science departments analyzing data
Employer & Industry UsageUsed by organizations implementing data policies across industriesUsed across industries for data analysis and reporting
Search & Comparison IntentUnderstanding data governance tools and platformsAnalyzing data to generate insights

While a Data Governance Platform focuses on managing data policies, quality, and compliance across an organization, a Data Analyst interprets data to support business decisions. Both roles are essential but serve different functions within data management and analysis.

Is data governance a good career?

Data governance is a growing field that involves establishing policies and standards to manage data quality, security, and compliance within organizations. Careers in data governance typically require skills in data management, understanding of regulations, and familiarity with tools like data catalogs and metadata management platforms. It offers opportunities for advancement in data-driven environments and often involves collaboration with IT and business teams.

What job categories do people searching Data Governance Platform jobs in Michigan look for?

The top searched job categories for Data Governance Platform jobs in Michigan are:

What cities in Michigan are hiring for Data Governance Platform jobs?

Cities in Michigan with the most Data Governance Platform job openings:

Infographic showing various Data Governance Platform job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Director Data Analytics & AI

Venteon

Novi, MI • On-site

Full-time

Re-posted 18 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.