Engineering Manager, Data Platform and Governance

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
• 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
• Develop and maintain enterprise data governance policies, standards, and operating procedures
• 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
• 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
• 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
• Prioritize individuals and stay attuned to the evolving needs of our people, users, and industry trends

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