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. Proven ability to lead cross-functional teams in the development and deployment of scalable data infrastructure and automation solutions that support manufacturing excellence and digital transformation.

Minimum Qualifications:

Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field (Master’s preferred)5+ years of experience in data systems and industrial automation7+ years of experience in database systems, including SQL/NoSQL, data warehousing, and ETL pipelines3–5 years of experience working with industrial automation systems, including PLCs, SCADA, robotics, and embedded control systems

 

Preferred Qualifications:

Proven leadership in engineering or technical team environmentsStrong understanding of manufacturing processes and digital transformation initiativesExcellent communication, problem-solving, and organizational skillsDemonstrated 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.Certifications:Certified Scrum Master (CSM)Certified Agile Practitioner (ACP)

 

Critical Success Factors: (key enablers to successful execution of responsibilities)

Distinctive aptitude, problem solving, critical thinking, analysis, and communicationEffective relationship building and development across all levels within the organization – Effectively work cross functionally in various rolesStrong learning mindset with ability to ramp learning curves quickly Disciplined project management capability Very comfortable with ambiguity and working in “new/white space”Highly proactive attitude and behaviorAbility to thrive in a dynamic team-based environmentSelf-starting, self-directed with extremely good influential, organizational and interpersonal skills

 

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

 

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

 

• Immediate medical, dental, vision and prescription drug coverage

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

• Vehicle discount program for employees and family members and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

 

This position is a leadership level 6.

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.

 

 

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. 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.

 

 

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What you'll do:

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.

 

Data Systems & Quality

Data Accuracy Rate: % of clean, validated data in warehouse systemsETL Pipeline Reliability: % uptime and successful job executionData Warehouse Query Performance: Average response time for key queriesData Cleansing Throughput: Volume of records cleansed per month

 

Automation Integration

System Integration Success Rate: % of automation systems integrated without major reworkAutomation Uptime: % availability of integrated control systemsTime to Deploy New Automation Features: Average time from development to production

 

Team & Project Management

Feature Completion Rate: % of planned features delivered per sprintTeam Productivity Index: Tasks completed vs. plannedStakeholder Satisfaction Score: Feedback from internal customers and partnersCompliance Rate: % of systems meeting cybersecurity and industrial standards

 

Technical Expertise

Database Technologies: SQL Server, PostgreSQL, MongoDB, SnowflakeData Engineering: ETL, data pipelines, data modeling, cleansing tools (e.g., Talend, Alteryx)Automation Systems: PLCs (Siemens, Allen-Bradley), SCADA, HMI, OPC UAProgramming & Scripting: Python, SQL, PowerShellTools & Platforms: Ignition, Kepware, Google Data Factory, Power BILeadership: Team supervision, project management, cross-functional collaborationStandards & Compliance: ISA-95, ISA-88, NIST Cybersecurity FrameworkAgile Methodologies (Scrum, Kanban)Software Development Life Cycle (SDLC)Continuous Integration/Continuous Deployment (CI/CD)Code Review and Quality AssuranceProblem Solving and Critical ThinkingExcellent Communication and CollaborationCloud-Based Data ApplicationsMobile Application Development (Google and Apple Platforms)Customer-Centric Application Development