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Canopy Vehicle Security

AI-driven vehicle security with expert monitoring

Engineering Manager - Data Platform and Governance

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in USA$123.8k - $173.1k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field is required.
  • At least 8 years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines is required.
  • At least 3 years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership, is required.
  • Experience designing and operating modern cloud-based data platforms and data pipelines is required.
  • Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns is required.
  • Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala is required.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is required.
  • Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices is required.
  • Working knowledge of privacy and data protection regulations, including GDPR and CCPA, is required.
  • Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making is required.
  • Ability to balance strategic planning with hands-on technical execution is required.
  • A master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field is preferred.
  • Preferred candidates reside within the Detroit, Michigan area or nearby and can work in a hybrid environment and regularly commute to the Detroit office as needed.

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.

About the Company

Canopy Vehicle Security

AI-driven vehicle security with expert monitoring

Canopy Vehicle Security provides protection for vehicles by combining patented AI-powered security technology with a human monitoring layer. Its system analyzes signals and vehicle behavior to detect potential threats and issues warning alerts before any theft or tampering happens, with security specialists actively monitoring and ready to intervene. 1) What it does: Prevents vehicle theft and tampering by delivering proactive alerts and security monitoring. 2) How it works: A hardware-and-software security system uses patented AI to monitor signals and activity; when a risk is detected, alerts are sent to the owner and to security experts who can intervene as needed. 3) How it differs: It pairs advanced AI with an expert monitoring team, adding a proactive human-in-the-loop layer that aims to catch threats before they occur, unlike purely automated or passive systems. 4) Goal: Keep vehicles safer by warning owners ahead of threats and providing immediate, expert response support.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Detroit, MI
Founded
2022

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