Data Systems & Industrial Automation Engineering Supervisor at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Systems Architecture, Database Management, Data Quality Engineering, Industrial Automation, ETL, Data Pipelines, Data Modeling, Python, SQL, Project Management, Cross-Functional Collaboration, Cybersecurity, Agile Methodologies, Continuous Integration, Problem Solving, Communication

Industry

Motor Vehicle Manufacturing

Description

Experienced and results-driven engineering supervisor with a strong background in data systems architecture, database management, and data quality engineering, combined with hands-on knowledge of industrial automation technologies. Database Technologies: SQL Server, PostgreSQL, MongoDB, Snowflake Data Engineering: ETL, data pipelines, data modeling, cleansing tools (e.g., Talend, Alteryx) Automation Systems: PLCs (Siemens, Allen-Bradley), SCADA, HMI, OPC UA Programming & Scripting: Python, SQL, PowerShell Tools & Platforms: Ignition, Kepware, Google Data Factory, Power BI Leadership: Team supervision, project management, cross-functional collaboration Standards & Compliance: ISA-95, ISA-88, NIST Cybersecurity Framework Agile Methodologies (Scrum, Kanban) Software Development Life Cycle (SDLC) Continuous Integration/Continuous Deployment (CI/CD) Code Review and Quality Assurance Problem Solving and Critical Thinking Excellent Communication and Collaboration Cloud-Based Data Applications Mobile Application Development (Google and Apple Platforms) Customer-Centric Application Development Bachelor's degree in Electrical Engineering, Computer Engineering, or related field (Master's preferred) 5+ years of experience in data systems and industrial automation 7+ years of experience in database systems, including SQL/NoSQL, data warehousing, and ETL pipelines 3-5 years of experience working with industrial automation systems, including PLCs, SCADA, robotics, and embedded control systems Proven leadership in engineering or technical team environments Strong understanding of manufacturing processes and digital transformation initiatives Excellent communication, problem-solving, and organizational skills Demonstrated leadership in data cleansing initiatives, improving data integrity and enabling advanced analytics. Experience managing cross-functional engineering teams, coordinating between software developers, controls engineers, and IT/OT stakeholders. Ability to thrive in a dynamic team-based environment For more information on salary and benefits, click here: https://fordcareers.co/LL6SP1 Visa sponsorship is not available for this position. Domestic relocation assistance is available for this position. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. LI-Onsite LI-MH5 Supervise and mentor a team of engineers and analysts responsible for data infrastructure and automation system integration. Oversee the design, implementation, and maintenance of data warehouses, ensuring alignment with manufacturing system requirements. Lead data cleansing and standardization efforts to improve data quality across automation platforms. Collaborate with controls and software teams to integrate hardware and software systems for real-time data acquisition and control. Ensure compliance with cybersecurity, data governance, and industrial communication protocols. Drive continuous improvement through KPI tracking, root cause analysis, and system optimization. Support strategic initiatives in smart manufacturing, digital twins, and predictive analytics. Established and active employee resource groups Certified Scrum Master (CSM) Certified Agile Practitioner (ACP)

Responsibilities

Supervise and mentor a team of engineers and analysts responsible for data infrastructure and automation system integration. Oversee the design, implementation, and maintenance of data warehouses, ensuring alignment with manufacturing system requirements.