Job Description
We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?
Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!
In this position...
This role leads the end-to-end development, deployment, and optimization of data reporting, visualization dashboards, and advanced AI/ML applications. The expert translates complex engineering and business challenges into scalable data models, insights, and intuitive user interfaces.
Key responsibilities include designing and maintaining robust data pipelines and MLOps frameworks in cloud environments, ensuring data integrity and solution quality. Collaborating with cross-functional teams, you will define requirements, develop metrics, provide training, and champion new technologies to deliver business value and foster a data-driven culture.
Responsibilities
What you'll do...
- Lead the development, testing, and deployment of comprehensive data reporting and visualization dashboards for critical engineering and business environments (e.g., Requirements & DV, CDP/CDR, FMA, CAD/BOM Alignment).
- Partner with stakeholders (e.g., Vehicle Signoff Admins, Process Owners) to define metrics and create display solutions for global and regional use-cases.
- Design and implement robust, scalable data pipelines and MLOps frameworks in cloud environments (GCP, AWS) to ensure efficient deployment and maintenance of analytical and AI/ML solutions.
- Develop data connection points and integration strategies to enhance data reintegration across disciplines like Design Verification and FMA.
- Architect, develop, and deploy advanced AI/ML solutions, including Generative AI applications, to solve complex engineering and operational challenges.
- Translate vehicle engineering and broader business problems into appropriate mathematical representations and AI/ML solutions (classification, prediction, intelligent automation).
- Develop intuitive front-end user interfaces for seamless interaction with analytical systems and actionable insights.
- Root cause data report and dashboard errors, collaborating with users and IT to implement sustainable solutions.
- Work with IT product teams to identify data model needs, extraction protocols, and report formats.
- Ensure data and solution quality and integrity throughout the development lifecycle.
- Operate within an Agile framework, authoring user stories and prioritizing backlog items.
- Develop training documentation and learning materials for new analytics and AI solutions.
- Collaborate effectively across the business to navigate IT and business constraints, ensuring practical and scalable solutions.
Qualifications
You'll have...
Minimum Requirements:
- Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.
- 3+ years of experience in data reporting, modeling, visualization, and advanced analytics.
- 2+ years of experience developing production full-stack applications (e.g., Python, JavaScript/TypeScript, React, Node.js).
- 1+ year experience designing and implementing data pipelines and MLOps in cloud environments (GCP, AWS, Azure).
- Proficiency in automated reporting tools (e.g., Alteryx, QlikView, Tableau, Power BI).
- Working knowledge of database systems (SQL, NoSQL) and API design (REST/GraphQL).
- Familiarity with cloud-based AI tools (e.g., Vertex AI, SageMaker).
- Strong analytical, problem-solving, and communication skills, translating complex problems into data-driven solutions.
- Ability to collaborate effectively with technical and business stakeholders in ambiguous environments.
Even better, if you have …
Preferred
- Master’s degree in relevant quantitative disciplines (e.g., Computer Science, Data Science, AI, Engineering).
- 5+ years of Python development experience, including advanced data manipulation (Pandas) and ML model development (NLP, PyTorch, TensorFlow).
- 3+ years developing and deploying solutions on major cloud platforms (GCP, AWS).
- 3+ years of Front-End Development experience (React, JavaScript, HTML) for analytical applications.
- Experience with PLM systems (e.g., Siemens Teamcenter PLM / Active Workspace).
- Familiarity with Ford Automotive Procedures for Design Verification and Non-Conformance.
- Working experience with Agile methodologies and tools (e.g., Jira).
- Experience with big data tools (e.g., Hadoop, Spark).
- Global collaboration experience.
- Demonstrated ability to evaluate, champion, and integrate new technologies, articulating business value.
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 salary grade 6 - 8.
For more information on salary and benefits, click here: https://fordcareers.co/GSRnon-HTHD
Visa sponsorship is NOT 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.
