Canopy

Engineering Manager

• 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.

Engineering Manager, Data Platform and Governance

Designer

• Drive the industrial design work for Canopy’s next-generation vehicle security hardware, developing innovative product solutions from early concept exploration through to prototyping, validation and mass production.
• Translate complex technical capabilities and engineering constraints into clear, compelling hardware experiences, working closely with AI, sensing, electrical, mechanical and embedded software teams to understand our technical challenges and opportunities. Integrate advanced sensors, processors and bespoke ML models into products that remain intuitive, useful and customer-centered.
• Champion a customer-centered design approach, partnering with Ford and internal stakeholders to run user research and prototype testing, ensuring our design work responds to customer insights and delivers a frictionless experience for our customers and their vehicles.
• Create and communicate design direction through sketches, CAD, prototypes, renders and design narratives that help align Canopy Engineering and Ford Product teams around the right product decisions.
• Support the transition from prototype to mass production, working with internal engineering teams, suppliers and manufacturers on CMF and product quality expectations to protect design intent through to launch.

Senior Industrial Designer

Data Analyst

• Lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify data-driven opportunities and translate them into actionable insights.
• Analyze large datasets to extract meaningful patterns, trends, and relationships, leveraging statistical methods, machine learning techniques, and data visualization tools.
• Develop and validate approaches, ensuring accuracy, robustness, and scalability for deployment in production environments.
• Communicate findings and recommendations to both technical and non-technical audiences through detailed reports, presentations, and data visualizations.
• Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and innovation.

Engineering Manager, Data Platform and Governance

Senior Industrial Designer

Senior Data Analyst