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Master Data Management Manager Jobs in Rochester Hills, MI

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Preferred : • Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data ...

SER Metro-Detroit

Data Performance Manager

Detroit, MI · On-site

Data Management LOCATION: 9301 Michigan Avenue (Southwest) REPORTS TO: Sr. Assistant Vice President - Adult Services & Regional Director FLSA STATUS: Exempt/Salaried CLASSIFICATION: Full-Time Regular ...

SER Metro-Detroit

Data Performance Manager

Detroit, MI · On-site

Data Management LOCATION: 9301 Michigan Avenue (Southwest) REPORTS TO: Sr. Assistant Vice President - Adult Services & Regional Director FLSA STATUS: Exempt/Salaried CLASSIFICATION: Full-Time Regular ...

Deloitte

Data Management Engineer - OpenText

Detroit, MI · On-site

$113K - $136K/yr

Work you'll do As a Data Management Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. * Manage day-to-day ...

Stem Xpert

Data Architect

Detroit, MI · On-site

$63 - $81.25/hr

Data architecture and Master data management processes e. Experience in one or more databases (eg. Oracle, DB2, SQL server) is required f. Experience in one or more of major BI Reporting tools (eg.

Ford Motor Company

Data / Information Architect

Dearborn, MI · On-site

$58.75 - $75.50/hr

Knowledge of Master Data Management concepts and tools * Functional and Architecture Experience with one or more PLM platforms (e.g., Siemens' Teamcenter, Dassault's 3D Experience) * Knowledge of ...

OneMagnify

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and integration. Future‑Ready Skills (Nice to Have) * Proficiency with SAS or R in an applied analytics ...

Pwc

Oracle EPM - Senior Associate

Detroit, MI

Financial Master Data Management; and, Account Reconciliations. Demonstrates thorough abilities and/or a proven record of success as a team leader, leading technical implementation of EPM (Enterprise ...

Deloitte

Change Management Manager

Detroit, MI · On-site

Perform quantitative and qualitative assessments, including stakeholder analyses and change impact assessments, to inform data-driven change strategies. * Develop and manage fit-for-purpose change ...

Conclusive Marketing

Data Scientist

Detroit, MI

Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and integration Future-Ready Skills (Nice to Have) * Proficiency with SAS or R in an applied analytics ...

OneMagnify

Data Scientist

Detroit, MI · On-site

Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and integration Future-Ready Skills (Nice to Have) * Proficiency with SAS or R in an applied analytics ...

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Showing results 41-60

All JobsMaster Data Management JobsMaster Data Management Manager JobsMaster Data Management Manager Jobs in Rochester Hills, MI

Master Data Management Manager information

See Rochester Hills, MI salary details

$28.5K

$89.4K

$158.3K

How much do master data management manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for master data management manager in Rochester Hills, MI is $89,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $115,500.00 per year, depending on experience, location, and employer.

How does a master data management manager typically collaborate with IT and business stakeholders to ensure data integrity?

A Master Data Management (MDM) Manager plays a pivotal role in bridging the gap between IT teams and business units. They regularly facilitate workshops and meetings to understand business requirements, then translate these into data governance policies and technical specifications for IT implementation. The MDM Manager also monitors data quality, oversees data integration processes, and ensures that all stakeholders adhere to established data standards. Effective communication and cross-functional collaboration are essential to maintain high data integrity and support organizational goals.

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

To thrive as a Master Data Management Manager, you need expertise in data governance, data quality management, and a strong understanding of master data principles, often supported by a degree in computer science, information systems, or a related field. Familiarity with MDM platforms (like Informatica, SAP, or Oracle), data integration tools, and relevant certifications such as CDMP is highly beneficial. Strong leadership, project management, and stakeholder communication skills help drive cross-functional data initiatives and resolve complex data issues. These skills are crucial to ensuring data consistency, compliance, and strategic value across the organization.

What is a master data management manager?

A Master Data Management (MDM) Manager is a professional responsible for overseeing the processes and systems that ensure an organization's core business data—such as customer, product, or supplier information—is accurate, consistent, and accessible across the company. They lead teams that develop and enforce data governance policies, implement MDM technologies, and coordinate with various departments to maintain data quality. MDM Managers play a critical role in optimizing business operations, supporting analytics, and ensuring regulatory compliance by managing the organization's master data assets.

What is the average salary of master data management manager?

The average salary for a Master Data Management Manager typically ranges from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with certifications in data management tools and strong leadership skills tend to earn higher salaries.

Is Master Data Management a good career?

Master Data Management (MDM) managers oversee the organization and consistency of critical business data, ensuring data quality and integrity across systems. This role typically requires strong analytical skills, knowledge of data governance tools, and certifications such as DAMA-DMBOK. It is considered a stable and growing career path within data management and IT departments.

What is the difference between Master Data Management Manager vs Data Analyst?

AspectMaster Data Management ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; often certifications in data analysis tools
Work EnvironmentTypically in data management teams, IT departments, or data governance unitsOften in business units, marketing, finance, or operations teams
Employer & Industry UsageUsed in industries with large data needs like finance, healthcare, and retailCommon across various industries for data-driven decision making

The Master Data Management Manager focuses on overseeing the quality, consistency, and governance of core business data, ensuring data accuracy across systems. In contrast, a Data Analyst interprets data to generate insights, reports, and support decision-making. While both roles require strong data skills, the MDM Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

Is master data management still a thing?

Master Data Management (MDM) remains a vital function for organizations to ensure data consistency, accuracy, and integrity across systems. MDM managers oversee data governance, utilize tools like Informatica or Collibra, and often require certifications such as CDMP to succeed in the role.
What job categories do people searching Master Data Management Manager jobs in Rochester Hills, MI look for? The top searched job categories for Master Data Management Manager jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Master Data Management Manager jobs? Cities near Rochester Hills, MI with the most Master Data Management Manager job openings:
Master Data Management Manager jobs near you
Infographic showing various Master Data Management Manager job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $89,417 per year, or $43 per hour.

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 8 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

Job Summary:
Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time, ensuring scalable and reliable data architecture.
Responsibilities:
• Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
• Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
• Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
• CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
• Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
• Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.
Qualifications:
Required:
• BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline
• 5+ years of experience in the data engineering and software development life cycle.
• 4+ years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
• 4+ years of hands-on experience working with AWS cloud services
• Comprehensive experience with one or more programming languages such as Python, Java, or Rust
• Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
• Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
• Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
• Experience with designing and implementing real-time pipelines
• Experience with data quality and validation
• Experience with API design
• Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
• Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
• SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
• DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
• Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying 'Clean Code' principles to data engineering.
• Stream Processing: Experience with Apache Flink for low-latency stream processing.
• Scripting: Proficiency in Python for automation, data analysis, or scripting.
• Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
• Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.
Preferred:
• Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
• Expert knowledge and experience with custom ETL design, implementation and maintenance
• Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
• Certification in AWS or other cloud providers
• Experience with Databricks notebook workflows
• Experience with Terraform
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.

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