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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager, Data Platform & Governance - **Company:** AI Powered LLC - **Location:** Detroit, MI, United States - **Experience:** Experienced - **Salary:** $123,800.0 - $173,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Audit Trail, Microsoft Azure, Cloud Computing, Cyber Security, Information Systems, Databases, Customer Data Management, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Decision Support Systems, Design of User Interfaces, Human-Computer Interaction, Information Lifecycle Management, Python (Programming Language), Cloud Services, Software Engineering, SQL Databases, Privacy Controls, Scripting, Google Cloud, Data Strategy, Data Lakes, Information Technology, Data Analytics, Data Management, Data Pipelines, Programming Languages - **Published:** August 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/engineering-manager-data-platform-and-governance-detroit-mi--ab3304d4-f9ff-41d9-8f82-b778ed3ae979 ## About the Role * 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., Access Control, Amazon Web Services (AWS), Architectural Analysis, Artificial Intelligence (AI), Best Practices, Business Growth, Business Support, Cataloguing, Cloud Computing, Computer Science, Continuous Improvement, Cross-Functional, Customer Experience, Customer Relations, Customer/Client Research, Data Analysis, Data Management, Data Quality, Data Science, Database Extract Transform and Load (ETL), Decision Support, Diversity, Ecosystems, Employee Assistance Plan, Engineering Management, Information Technology & Information Systems, Information/Data Security (InfoSec), Java, Leadership, Leading Edge Technology, Legal, Maintain Compliance, Mentoring, Metrics, Microsoft Windows Azure, Performance Management, Performance Metrics, Privacy Controls, Product Engineering, Programming Languages, Python Programming/Scripting Language, Regulations, Regulatory Compliance, Reporting Dashboards, Risk Analysis, SQL (Structured Query Language), Scala Programming Language, Scalable System Development, Security Analysis, Software Engineering, Standard Operating Procedures (SOP), Stewardship, Strategic Planning, Team Lead/Manager, Team Player, Technical Leadership, Technical Strategy, User Interface/Experience (UI/UX) ## 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. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [JavaScript? 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