📌 Core Information
🔹 Job Title: Marketing Data Product Manager - Governance & Quality
🔹 Company: General Motors
🔹 Location: Remote - United States (Warren, MI & Austin, TX)
🔹 Job Type: Hybrid (Remote with on-site requirements)
🔹 Category: Data Management & Governance
🔹 Date Posted: May 7, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: Hybrid (3 days on-site per week)
🚀 Job Overview
Key aspects of this role include:
- Leading marketing data quality strategy, monitoring, and governance
- Collaborating with cross-functional stakeholders across GM marketing teams and the broader enterprise
- Building product and process solutions to ensure high and consistent data quality
- Technical implementation of data quality monitoring in Azure Databricks
- Managing data governance committee and processes
ASSUMPTION: This role requires a strong balance of technical and organizational skills, with a focus on data quality and governance.
📋 Key Responsibilities
✅ Perform data quality needs assessments with various stakeholders and datasets, with a specific focus on marketing paid media and data used in marketing technology platforms for media/email activation (primarily Adobe platforms)
✅ Track and manage marketing data quality and governance using agile product management processes
✅ Create data monitoring tools, methods, and processing in Azure Databricks as well as potentially other data quality tools within the enterprise
✅ Lead data governance committee, process, and tactical implementation around marketing data to enable integrated campaign reporting and analytics
✅ Design and implement strategies and methods for monitoring and validating data integrity between decoupled marketing platforms
✅ Manage marketing platform team documentation, process, and approvals in accordance with General Motors policies for data privacy and transport controls
✅ Work with enterprise colleagues and vendor partners to identify and resolve data quality issues and strengthen general data quality practices
ASSUMPION: This role requires a hands-on approach to data quality and governance, with a focus on tactical implementation and stakeholder collaboration.
🎯 Required Qualifications
Education: Bachelor's degree required, preferably in a related field
Experience: 5 years of relevant experience in data-intensive roles
Required Skills:
- Strong knowledge of SQL and relational database methodologies
- Python, Spark, and/or Azure Databricks experience preferred
- Excellent communication and collaboration skills
- Experience working with marketing data is preferred but not critical
- Strong knowledge of agile product management processes
Preferred Skills:
- Experience with marketing data and marketing technology platforms
- Experience in data leadership roles from both a technical and organizational perspective
ASSUMPTION: A strong background in data-intensive roles, with a focus on data quality and governance, is required for this position.
💰 Compensation & Benefits
Salary Range: $94,800 - $151,400 (based on job level and experience)
Benefits:
- Paid time off including vacation days, holidays, and parental leave
- Healthcare, dental, vision, and life insurance plans
- Company and matching contributions to 401K savings plan
- Tuition assistance and student loan refinancing
- GM vehicle discounts
Working Hours: Full-time (40 hours per week) with flexible work arrangement (3 days on-site per week)
ASSUMPTION: The salary range provided is an estimate based on the job level and experience required for this role. Actual compensation may vary based on factors relevant to the position.
📌 Applicant Insights
🔍 Company Context
Industry: Motor Vehicle Manufacturing
Company Size: 10,001+ employees (Global presence with multiple locations)
Founded: 1908 (Detroit, Michigan, USA)
Company Description:
- General Motors (GM) is an American multinational corporation headquartered in Detroit, Michigan, that designs, manufactures, markets, and distributes vehicles and vehicle parts, and sells financial services.
- GM's vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion, and they are committed to leading the way toward this future.
- GM offers a wide range of products and services, including cars, trucks, and SUVs, as well as related services such as financing, leasing, and insurance.
Company Specialties:
- Motor vehicle manufacturing
- Automotive engineering
- Information technology
- Electrification
- Software and AI development
Company Website: www.gm.com
ASSUMPTION: General Motors is a well-established company with a rich history in the automotive industry, offering a wide range of products and services, and a strong commitment to innovation and sustainability.
📊 Role Analysis
Career Level: Experienced (5-10 years of relevant experience)
Reporting Structure: This role reports to the Director of Marketing Data Governance and Quality
Work Arrangement: Hybrid (3 days on-site per week, with the option to work remotely the remaining days)
Growth Opportunities:
- Potential progression to senior or management roles within the data governance and quality domain
- Opportunities to work on high-impact projects and collaborate with cross-functional teams
- possibility to transition into other data-related roles within the organization as the company continues to invest in data-driven initiatives
ASSUMPTION: This role offers opportunities for career growth and development within the data governance and quality domain, as well as potential exposure to other data-related roles within the organization.
🌍 Location & Work Environment
Office Type: Hybrid (remote work with on-site requirements)
Office Location(s): Warren, MI (Cadillac Tower) and Austin, TX (Austin Technical Center)
Geographic Context:
- Warren, MI: A suburb of Detroit, offering a mix of urban and suburban living with easy access to the city's amenities
- Austin, TX: A vibrant city known for its live music scene, tech industry, and outdoor activities, with a mild climate year-round
Work Schedule: Full-time (40 hours per week) with flexible work arrangement (3 days on-site per week)
ASSUMPTION: The hybrid work arrangement allows for flexibility and a balance between on-site collaboration and remote work, with the option to work from either the Warren, MI or Austin, TX locations.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with the hiring manager
- Technical assessment or case study presentation
- Final round interview with key stakeholders
Key Assessment Areas:
- Technical skills and knowledge of data quality and governance
- Communication and collaboration skills
- Problem-solving and analytical skills
- Understanding of marketing data and marketing technology platforms
Application Tips:
- Tailor your resume and cover letter to highlight relevant experience and skills for this role
- Prepare for behavioral and situational interview questions that focus on your problem-solving and communication skills
- Research General Motors and the automotive industry to demonstrate your enthusiasm and understanding of the company and its mission
ATS Keywords: Data Quality, Data Governance, Marketing Data, Azure Databricks, SQL, Relational Database, Agile Product Management, Stakeholder Management, Technical Implementation, Data Stewardship
ASSUMPTION: The interview process for this role will focus on assessing the candidate's technical skills, communication and collaboration abilities, and understanding of marketing data and data quality principles.
🛠️ Tools & Technologies
- Azure Databricks
- SQL
- Python
- Spark
- Agile product management tools (e.g., JIRA, Asana, Trello)
- Marketing technology platforms (e.g., Adobe Experience Cloud, Google Marketing Platform)
ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role, as they are used to perform data quality assessments, monitor data integrity, and collaborate with stakeholders.
👔 Cultural Fit Considerations
Company Values:
- Integrity: Uphold ethical standards and act with honesty and transparency
- Inclusion: Foster an inclusive environment where everyone feels valued and respected
- Excellence: Strive for excellence in all aspects of the business
- Accountability: Take responsibility for one's actions and decisions
Work Style:
- Collaborative: Work closely with cross-functional teams to achieve common goals
- Innovative: Embrace new ideas and approaches to problem-solving
- Adaptable: Be open to change and willing to learn new skills and tools
- Results-driven: Focus on delivering measurable outcomes and achieving objectives
Self-Assessment Questions:
- How do you ensure high-quality data in a marketing context, and how do you communicate data quality requirements to stakeholders?
- How do you balance the need for data accuracy with the need for data accessibility and usability?
- How do you approach data governance and quality in a hybrid work environment, with some team members working remotely?
ASSUMPTION: General Motors values a strong cultural fit, with an emphasis on integrity, inclusion, excellence, and accountability. Candidates should be prepared to demonstrate their alignment with these values and their ability to thrive in a collaborative, innovative, and adaptable work environment.
⚠️ Potential Challenges
- Balancing the need for data accuracy with the need for data accessibility and usability
- Managing data quality and governance in a hybrid work environment with remote team members
- Collaborating effectively with cross-functional stakeholders, including high-level management and technical peers
- Keeping up with the latest data quality tools and technologies as the field continues to evolve
ASSUMPTION: These challenges require a proactive and strategic approach, with a focus on continuous learning and improvement.
📈 Similar Roles Comparison
- This role differs from related positions in its focus on marketing data quality and governance, as well as its requirement for strong communication and collaboration skills
- Industry-specific context: The automotive industry is highly competitive and data-driven, with a strong emphasis on customer experience and personalization
- Career path comparison: This role can serve as a stepping stone to senior or management roles within the data governance and quality domain, or as a pathway to other data-related roles within the organization
ASSUMPTION: This role offers a unique opportunity to work at the intersection of marketing data and data quality, with a focus on governance and strategic implementation.
📝 Sample Projects
- Developing a data quality monitoring dashboard in Azure Databricks to track marketing data integrity and compliance
- Designing and implementing a data governance framework for marketing data used in Adobe Experience Cloud
- Collaborating with cross-functional teams to identify and resolve data quality issues in marketing technology platforms
ASSUMPTION: These sample projects illustrate the hands-on nature of this role and the opportunity to work on high-impact initiatives that drive marketing data quality and governance.
❓ Key Questions to Ask During Interview
- How does this role fit into the broader data governance and quality strategy for GM marketing?
- What are the key priorities for this role in the first 30-60-90 days?
- How does this role collaborate with other data governance and quality teams within GM?
- What are the biggest challenges facing the marketing data quality and governance team, and how can this role help address them?
- How does GM support the professional development and growth of employees in this role?
ASSUMPTION: These questions help candidates better understand the role's context, priorities, and growth opportunities, as well as the company's approach to data governance and quality.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Prepare for behavioral and situational interview questions that focus on your problem-solving and communication skills
- Research General Motors and the automotive industry to demonstrate your enthusiasm and understanding of the company and its mission
- Follow up with the hiring manager one week after submitting your application to inquire about the status of your application
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
