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Master Data Steward Jobs in Michigan (NOW HIRING)

Marketing Data Domain Lead

Novi, MI · On-site

$118 - $130/hr

... Master Teacher Program. * You want recognition. We provide a positive, fun workplace where ... Establish and maintain governance, stewardship, metadata, and lineage standards for marketing data ...

... unique Master Teacher Program. You want recognition. We provide a positive, fun workplace where ... Establish and maintain governance, stewardship, metadata, and lineage standards for marketing data ...

The position is responsible for providing ongoing maintenance and support for Master Person Index (MPI), Michigan Index Data Stewardship Portal and Symmetry applications supported within our ...

Analytical Chemist

Auburn Hills, MI · On-site

$65 - $85/hr

Master's degree in Analytical Chemistry or related field * Experience supporting regulatory testing, compliance data generation, or product stewardship * Experience with polymer or materials ...

Analytical Chemist

Auburn Hills, MI · On-site

$65 - $85/hr

Master's degree in Analytical Chemistry or related field* Experience supporting regulatory testing, compliance data generation, or product stewardship* Experience with polymer or materials ...

Master's degree in Analytical Chemistry or related field * Experience supporting regulatory testing, compliance data generation, or product stewardship * Experience with polymer or materials ...

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Master Data Steward information

See Michigan salary details

$9

$31

$63

How much do master data steward jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for master data steward in Michigan is $31.60, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $34.57 per hour, depending on experience, location, and employer.

What is a master data steward?

A Master Data Steward is a professional responsible for overseeing the accuracy, consistency, and security of an organization's critical business data, known as master data. This includes data about customers, products, suppliers, and other key business entities. Master Data Stewards ensure that data standards are maintained, resolve data quality issues, and collaborate with various departments to implement data governance policies. Their role is crucial for supporting business operations, analytics, and compliance with regulations.

How does a master data steward typically collaborate with other departments to ensure data consistency and quality?

Master Data Stewards work closely with teams across the organization, such as IT, business operations, and compliance, to define data standards and resolve discrepancies. They often participate in cross-functional meetings to understand data needs and pain points, and may lead training sessions to promote best practices in data management. Effective collaboration ensures that master data remains accurate, up-to-date, and aligned with business objectives, reducing operational risks and improving decision-making.

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

To thrive as a Master Data Steward, you need a solid understanding of data management principles, data governance, and business processes, often supported by a degree in information systems or a related field. Familiarity with data management tools like SAP MDG, Informatica, or Collibra, as well as knowledge of data quality frameworks and sometimes relevant certifications (e.g., CDMP), is typically required. Strong analytical thinking, attention to detail, and excellent communication skills help you collaborate across departments and ensure data integrity. These skills are crucial for maintaining high-quality, reliable data that supports effective decision-making and operational efficiency.

What is the difference between Master Data Steward vs Data Analyst?

AspectMaster Data StewardData Analyst
CredentialsTypically requires a bachelor's degree in information management, business, or related fields; certifications like CDMP are common.Usually holds a bachelor's degree in statistics, data science, or related areas; certifications like CAP or Microsoft Data Analyst are beneficial.
Work EnvironmentWorks within data management teams, focusing on data quality, governance, and consistency across systems.Works across departments analyzing data to generate insights, reports, and support decision-making.
Industry UsageCommonly employed in industries with large data assets like finance, healthcare, and retail.Widely used across industries for data-driven roles in marketing, finance, and operations.

While both roles involve working with data, a Master Data Steward primarily manages data quality and governance, ensuring data consistency across systems. In contrast, a Data Analyst focuses on analyzing data to extract insights and support business decisions. Both roles require strong data skills but serve different functions within an organization.

Is master data a good career?

A career as a Master Data Steward involves managing and maintaining an organization's core data to ensure accuracy and consistency. It requires strong attention to detail, knowledge of data governance tools, and often involves collaboration across departments. This role is in demand as organizations prioritize data quality and compliance, offering stable employment opportunities.

What are popular job titles related to Master Data Steward jobs in Michigan?

For Master Data Steward jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Master Data Steward jobs?

Cities in Michigan with the most Master Data Steward job openings:

Infographic showing various Master Data Steward job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $65,728 per year, or $31.6 per hour.

Engineering Manager, Data Platform and Governance

Canopy

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 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