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Assistant Data Governance Analyst Jobs in Michigan

Lead enterprise data governance initiatives including data quality, stewardship, lineage, metadata ... Drive the development and deployment of high-value analytics and AI solutions supporting commercial ...

Sr Data Management Analyst

Midland, MI · On-site

$73K - $93K/yr

The Senior Data Analyst leads initiatives for stringent data governance, collaborating cross ... Demonstrate strong project management and organizational skills. Assist in the development of, or ...

Contribute to best practices for analytics engineering, data governance, and reporting standards. Required Qualifications * Strong proficiency in SQL for data transformation, analysis, and reporting.

Contribute to best practices for analytics engineering, data governance, and reporting standards. Required Qualifications * Strong proficiency in SQL for data transformation, analysis, and reporting.

Contribute to best practices for analytics engineering, data governance, and reporting standards. Required Qualifications * Strong proficiency in SQL for data transformation, analysis, and reporting.

Business Data Architect

Warren, MI · On-site

$60 - $77/hr

Professional certifications in data governance, data management, or analytics such as DAMA or CDMP ... If you need a reasonable accommodation to assist with your job search or application for employment ...

Implement Master Data Management (MDM), data quality, and data governance best practices. * Collaborate with architects, DBAs, analysts, business users, and technical teams to deliver scalable data ...

Showing results 21-40

Assistant Data Governance Analyst information

What is an assistant data governance analyst?

Assistant Data Governance Analysts are professionals who support the management and oversight of data assets within an organization. They help ensure that data is accurate, secure, and used in compliance with internal policies and external regulations. Their responsibilities often include maintaining data documentation, assisting with data quality checks, and supporting data governance initiatives. They also collaborate with various teams to help implement best practices for data management, privacy, and security.

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

AspectAssistant Data Governance AnalystData Analyst
Required CertificationsData governance certifications, such as CDMP or DAMA certificationsData analysis certifications, like Microsoft Certified Data Analyst Associate
Work EnvironmentCollaborates with data governance teams, compliance, and IT departmentsWorks with business units to analyze data, generate reports, and support decision-making
Employer & Industry UsageUsed in organizations focusing on data compliance, quality, and governanceCommon across industries for data-driven insights and reporting

The Assistant Data Governance Analyst primarily supports data governance initiatives, focusing on data quality, compliance, and policies. In contrast, a Data Analyst concentrates on analyzing data to generate insights and reports for business decisions. While both roles require strong data skills, the Assistant Data Governance Analyst emphasizes data management and governance frameworks, whereas the Data Analyst emphasizes data analysis and visualization.

What are some common challenges faced by assistant data governance analysts, and how can they be managed effectively?

Assistant Data Governance Analysts often encounter challenges such as ensuring data quality across multiple departments, navigating complex data management systems, and promoting adherence to data governance policies. These challenges can be managed by developing strong communication skills to collaborate with stakeholders, staying organized when tracking data issues, and proactively seeking guidance from more experienced analysts. Continuous learning about data governance tools and best practices also helps in adapting to evolving organizational needs.

What are the key skills and qualifications needed to thrive as an assistant data governance analyst?

To thrive as an Assistant Data Governance Analyst, you need a solid understanding of data management principles, data quality concepts, and preferably a degree in information systems or a related field. Familiarity with data governance tools, SQL databases, and data cataloging systems, as well as certifications like DAMA or CDMP, are commonly beneficial. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with stakeholders and ensure data integrity. These competencies are crucial for maintaining data accuracy, compliance, and enabling informed decision-making across the organization.

Is data governance a hard job?

Data governance analysts are responsible for establishing policies and standards to ensure data quality, security, and compliance within an organization. The role can be challenging due to the need for strong attention to detail, understanding of data management tools, and collaboration across departments, but it also offers clear processes and frameworks to follow. Success in this role often depends on technical skills, communication abilities, and knowledge of data regulations.
What are popular job titles related to Assistant Data Governance Analyst jobs in Michigan? For Assistant Data Governance Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Assistant Data Governance Analyst jobs in Michigan look for? The top searched job categories for Assistant Data Governance Analyst jobs in Michigan are:
What cities in Michigan are hiring for Assistant Data Governance Analyst jobs? Cities in Michigan with the most Assistant Data Governance Analyst job openings:
Infographic showing various Assistant Data Governance Analyst job openings in Michigan as of June 2026, with employment types broken down into 43% Full Time, 53% Part Time, 2% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Director Data Analytics & AI

Venteon

Novi, MI • On-site

Full-time

Re-posted 8 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.