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Data Governance Analyst Jobs in Michigan (NOW HIRING)

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... governance within our organization. Responsibilities - Drive the strategic direction of data ...

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This ... Develop and implement data governance and quality assurance processes. * Create and maintain Power ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... analytics, or audience management solutions * Experience with machine learning data preparation and feature engineering * Understanding of data governance and data quality best practices

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

Data Governance * Establish enterprise data governance standards. * Define metadata management ... Enable real-time analytics and predictive modeling. * Collaborate with Data Scientists and ML ...

This role will collaborate closely with product owners, analysts, and business stakeholders to ... Strong understanding of data architecture principles, data modeling techniques, and data governance ...

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

Own marketing data products, certified datasets, and semantic models that support trusted analytics and self-service reporting for Marketing and BI teams. * Establish and maintain governance ...

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

Own marketing data products, certified datasets, and semantic models that support trusted analytics and self-service reporting for Marketing and BI teams. * Establish and maintain governance ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... analytics, or audience management solutions * Experience with machine learning data preparation and feature engineering * Understanding of data governance and data quality best practices Our Benefits ...

Showing results 21-40

Data Governance Analyst information

See Michigan salary details

$18

$47

$75

How much do data governance analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data governance analyst in Michigan is $47.74, according to ZipRecruiter salary data. Most workers in this role earn between $35.38 and $58.46 per hour, depending on experience, location, and employer.

What is a data governance analyst?

A data governance analyst helps an organization maintain best practices regarding information security, integrity, and access. In this role, your duties are to come up with the appropriate protocols for keeping data, develop tools and methods for a business to oversee its data, and provide management with recommendations about how to best govern the use of and access to the information. Qualifications for this career include a bachelor’s degree in computer science or information systems, job experience with shared data and database languages such as SQL, skills such as analytical problem-solving, and a strong commitment to the ethical use of data.

What is a data governance analyst?

A Data Governance Analyst is a professional responsible for developing, implementing, and maintaining policies and procedures that ensure the accuracy, security, and proper usage of data within an organization. They work to ensure compliance with data-related regulations and standards, facilitate data quality initiatives, and help stakeholders understand their roles in data management. Data Governance Analysts often collaborate with IT, compliance, and business teams to establish data ownership, lineage, and stewardship. Their work is crucial in supporting data-driven decision-making and minimizing risks associated with data misuse.

How does a data governance analyst typically collaborate with other departments to ensure data quality and compliance?

A Data Governance Analyst regularly works with teams such as IT, legal, compliance, and business units to develop and enforce data management policies. This collaboration often involves coordinating data quality assessments, facilitating data stewardship programs, and ensuring that data handling adheres to relevant regulations and organizational standards. Analysts may lead cross-functional meetings, provide training on data governance best practices, and act as a liaison to resolve data-related issues. Effective communication and relationship-building are key to ensuring that all stakeholders are aligned on data quality and compliance goals.

What are the key skills and qualifications needed to thrive as a data governance analyst, and why are they important?

To thrive as a Data Governance Analyst, you need a solid understanding of data management principles, data quality frameworks, and regulatory compliance, often supported by a bachelor's degree in information systems, computer science, or a related field. Familiarity with data governance tools (like Collibra or Informatica), data cataloging systems, and knowledge of relevant data privacy regulations (such as GDPR or CCPA) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate across departments and enforce data policies. These abilities are crucial for ensuring data integrity, minimizing risk, and supporting informed decision-making within organizations.

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

AspectData Governance AnalystData Quality Analyst
CertificationsCDMP, DAMA certifications often preferredCDMP, Six Sigma, or data quality certifications common
Work EnvironmentFocus on policies, compliance, and data standardsFocus on data accuracy, validation, and issue resolution
Industry UsageUsed across finance, healthcare, and tech sectorsCommon in finance, retail, and healthcare industries
Search & Comparison IntentUnderstanding governance roles and responsibilitiesFocusing on data accuracy and quality improvement

While both roles involve working with data, a Data Governance Analyst primarily manages data policies, standards, and compliance, ensuring data is properly governed across the organization. In contrast, a Data Quality Analyst concentrates on assessing and improving the accuracy and integrity of data. Both roles often require similar certifications and are vital in data-driven industries, but they focus on different aspects of data management.

Is data governance a good career?

Data Governance Analysts play a key role in managing data quality, compliance, and security within organizations. The field offers steady demand, opportunities for certification, and the chance to work with tools like data catalogs and compliance frameworks, making it a viable career choice for those interested in data management and regulatory standards.

What are the most commonly searched types of Data Governance Analyst jobs in Michigan?

The most popular types of Data Governance Analyst jobs in Michigan are:

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

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

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

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

What are popular job titles related to Data Governance Analyst jobs in MI?

For Data Governance Analyst jobs in MI, the most frequently searched job titles are:

Infographic showing various Data Governance Analyst 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $99,309 per year, or $47.7 per hour.

Engineering Manager, Data Platform and Governance

Canopy

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Key responsibilities

  • Define and execute the company's data platform, analytics, and governance strategy.

  • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions.

  • Establish data quality, observability, lineage, cataloging, and reliability practices.


Hilton Grand Vacations rating

6.8

Company rating: 6.8 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

9th of 21 rated holiday rentals


Job description

We are seeking an Engineering Manager, Data Platform & Governance to lead the development of our data capabilities and governance practices across connected security products and cloud services. This role will be responsible for defining and executing our data strategy, building scalable data platforms and analytics capabilities, and establishing the governance, privacy, and compliance foundations required to support a growing connected-product ecosystem. The ideal candidate combines strong engineering leadership with deep expertise in data architecture, analytics, governance, and cloud technologies.
As part of a fast-moving organization focused on AI-powered vehicle security solutions, this leader will partner closely with Product, Software Engineering, AI/ML, Security, Legal, and our parent company's digital teams to ensure that data is accurate, trusted, secure, and actionable. They will help transform data generated from connected devices, cloud services, customer interactions, and AI systems into insights that drive product innovation, operational excellence, and business growth. This is a highly cross-functional role with significant influence on our data strategy, technology roadmap, compliance posture, and future initiatives.
Responsibilities:
  • Define and execute the company's data platform, analytics, and governance strategy.
  • Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows.
  • Establish technical roadmaps, architecture standards, and best practices for data systems and services.
  • Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth.
  • Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes.
  • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions.
  • Establish data quality, observability, lineage, cataloging, and reliability practices.
  • Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams.
  • Develop and maintain enterprise data governance policies, standards, and operating procedures.
  • Define data ownership, stewardship, retention, classification, and lifecycle management processes.
  • Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations.
  • Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data.
  • Establish auditability, data access controls, and governance processes for AI and analytics workloads.
  • Support security reviews, risk assessments, compliance audits, and customer data inquiries.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines.
  • 3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership.
  • Experience designing and operating modern cloud-based data platforms and data pipelines.
  • Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns.
  • Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices.
  • Working knowledge of privacy and data protection regulations, including GDPR and CCPA.
  • Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making.
  • Strong stakeholder management, communication, and collaboration skills.
  • Proven ability to balance strategic planning with hands-on technical execution.

Preferred Qualifications:
  • Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $123,800 - $173,100
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

What Hilton Grand Vacations employees say

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About Hilton Grand Vacations

Sourced by ZipRecruiter

Hilton Grand Vacations Inc. (HGV) is based in Orlando, Florida, and operates in the hospitality industry, specifically in the sector of vacation ownership. The company is committed to providing high quality, professionally managed, and flexible vacation ownership options to its customers. Hilton Grand Vacations sprung from the reputable Hilton Hotels brand, which was founded in 1919 by Conrad Hilton. The company's mission is to put the world on vacation, offering destinations and experiences that go beyond the traditional hotel stay.

Industry

Traveler accommodation

Company size

5,001 - 10,000 Employees

Headquarters location

Orlando, FL, US