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Data Governance Associate Jobs in Michigan (NOW HIRING)

Our group of caring associates create financial security by helping individuals and businesses make ... governance solutions. The position requires the person to: * Work with project stakeholders to ...

$185K - $200K/yr

... data governance, master data strategies and cross system data flows. • Ensure data integrity, auditability, and traceability across the Vault ecosystem. Stakeholder Collaboration • Work with ...

New

Sr. Analyst

Troy, MI

$83K - $110K/yr

... data loads and assisting/mentoring Data Management Analysts and Associates as part of their ... data governance. * Establishes Strong internal and external relationships and identifies ...

Sr. Analyst

Troy, MI · On-site

$83K - $110K/yr

... data loads and assisting/mentoring Data Management Analysts and Associates as part of their ... data governance. * Establishes Strong internal and external relationships and identifies ...

Establish and maintain product data standards, governance procedures, and documentation to ensure ... Will consider Associate's degree or equivalent experience and 2+ years of experience in product ...

IT Internal Audit Manager

Grand Rapids, MI · On-site

$97K - $128K/yr

... data governance, and key business process controls • Identifies control gaps, process ... of Associates on assigned engagements • Reviews work product, provides timely coaching, and ...

IT Internal Audit Manager

Grand Rapids, MI · On-site

$97K - $128K/yr

... data governance, and key business process controls Identifies control gaps, process inefficiencies ... work of Associates on assigned engagements Reviews work product, provides timely coaching, and ...

Showing results 41-60

Data Governance Associate information

See Michigan salary details

$11

$25

$47

How much do data governance associate jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data governance associate in Michigan is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $31.20 per hour, depending on experience, location, and employer.

What is a Data Governance Associate?

A Data Governance Associate is a professional responsible for supporting the implementation and management of data governance policies and procedures within an organization. They help ensure data quality, security, and compliance with relevant regulations by coordinating data management efforts across business units. Their duties often include maintaining data catalogs, assisting with data stewardship, and participating in data-related audits or assessments. Data Governance Associates work closely with data stewards, IT, and compliance teams to uphold organizational data standards.

How does a Data Governance Associate typically collaborate with other departments within an organization?

A Data Governance Associate regularly works with teams such as IT, compliance, legal, and business units to ensure data policies and standards are consistently implemented across the organization. This collaboration often involves facilitating meetings, documenting data flows, and assisting with the resolution of data quality issues. By acting as a bridge between technical and non-technical stakeholders, Data Governance Associates help create a unified approach to data management, ensuring that everyone follows best practices and regulatory requirements.

What are the key skills and qualifications needed to thrive as a Data Governance Associate, and why are they important?

To thrive as a Data Governance Associate, you need a solid understanding of data management principles, data quality standards, and regulatory compliance, often supported by a degree in information systems or a related field. Familiarity with data governance frameworks, data cataloging tools (like Collibra or Informatica), and knowledge of data privacy regulations such as GDPR are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate across departments and ensure adherence to data policies. These skills are crucial for maintaining reliable, compliant, and high-quality data assets that drive organizational decision-making.

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

AspectData Governance AssociateData Analyst
Required CredentialsBachelor's degree in Information Management, Data Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Data Science, or related; certifications like Microsoft Data Analyst Associate may be advantageous
Work EnvironmentCorporate or enterprise settings focusing on data policies, compliance, and data quality managementBusiness or technical teams analyzing data to generate insights, reports, and visualizations
Employer & Industry UsageUsed across finance, healthcare, tech, and government sectors for data compliance and governanceCommon in marketing, finance, and consulting firms for data analysis and decision support

The Data Governance Associate primarily focuses on establishing and maintaining data policies, ensuring data quality, and compliance within organizations. In contrast, a Data Analyst concentrates on analyzing data to support business decisions. While both roles require strong data skills, the governance associate emphasizes data management frameworks, whereas the analyst emphasizes data interpretation and reporting.

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

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

Infographic showing various Data Governance Associate job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $53,269 per year, or $25.6 per hour.

GenAI Python Systems Engineer -Senior Manager

Detroit, MI • On-site

Pwc
Finance and Insurance • 10K+ employees

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies.
Responsibilities
- Lead the creation and execution of data architecture strategies
- Drive innovation and thought leadership in data solutions
- Collaborate with stakeholders to align technical solutions with business needs
- Maintain compliance with data governance and security protocols
- Promote an environment where technology and people excel together
- Translate complex data requirements into actionable technical plans
- Oversee the implementation of advanced data technologies
- Facilitate cross-functional collaboration to enhance data architecture
What You Must Have
- Bachelor's Degree
- 8 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
- Proficient in Python and structured/unstructured data
- Proficient in SQL and relational databases
- Writing and maintaining FastAPI endpoints for applications
- Understanding AI techniques enhancing LLMs
- Experience in prompt engineering for LLM outputs
- Developing scalable data storage solutions using cloud services
- Designing and managing data warehouses and data lakes
- Implementing IAM roles and policies for cloud platforms

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK