H-1B Visa Data Engineering Manager Jobs
Data Engineering Manager roles qualify for H-1B visa sponsorship as specialty occupations requiring a bachelor's degree or higher in computer science, information systems, or a related field. Large tech, finance, and healthcare employers file LCAs with the DOL and run H-1B petitions through USCIS for this role annually.
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At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
PRO 360 requires a Data Engineering Manager to design, develop, and maintain the enterprise data architecture that unifies commercial customer data across Vehicles, Service, Software, and Ford Credit.
- Lead Data Engineering: Drive the development of real-time and batch data pipelines, manage GCP infrastructure, ensure code quality, and oversee integrations with downstream systems like Salesforce and Marketing Cloud.
- Drive AI Data Initiatives: Architect data foundations to support AI monetization, including predictive analytics and cutting-edge Agentic AI workflows leveraging Google Vertex AI and Gemini.
- Enforce Data Governance: Implement "Policy as Code," machine-readable data contracts, data quality observability, and strict privacy controls (GDPR, CCPA, PRO ID management).
Why This Role Matters As the definitive source of truth for Ford Pro’s commercial customers, PRO 360 is the engine behind Ford Pro’s growth and efficiency goals. This LL6 leadership role ensures that our data is scalable, AI-ready, and highly governed—directly enabling Ford Pro’s commercial success.
Job Responsibilities
Data Engineering:
- Lead Engineering Execution: Manage and mentor pods of data and software engineers to design, build, and deploy domain-driven data products on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow).
- Platform Modernization: Drive critical infrastructure initiatives, including the migration to GCP 3.0, adoption of DataOps packages, and the decommissioning of legacy tech debt to ensure highly performant and cost-optimized cloud operations.
- Ecosystem Integration: Architect real-time and batch data pipelines to ingest fragmented data and serve unified profiles to downstream operational systems, specifically Salesforce (Sales/Service Cloud), Marketing Cloud, and Ford Credit billing systems.
- Engineering Craftsmanship: Enforce rigorous engineering standards, ensuring 100% of PRO 360 repositories maintain SonarQube "A" ratings for reliability, security, and maintainability, and championing CI/CD automation.
- Technical Leadership: Act as the Directly Responsible Individual (DRI) for technical deployments, collaborating with Product Managers and Product Anchors to translate business OKRs into scalable technical backlogs.
AI Initiatives:
- AI Data Readiness: Architect and optimize data models to support high-priority machine learning initiatives ensuring training and inference pipelines are highly available and scalable.
- Agentic AI Enablement: Lead the data integration strategy for next-generation Agentic AI workflows (using Vertex AI, Gemini, and Agent Platforms), enabling autonomous lead generation, pipeline observability, and conversational AI dashboards.
- Feature Engineering & ML Ops: Collaborate closely with Data Scientists and AI Engineers to transition ML models from proof-of-concept to production, ensuring seamless integration into the PRO 360 ecosystem.
- Unstructured Data & RAG: Build pipelines to process and structure complex datasets (e.g., telematics, connected vehicle data, unstructured web leads) to feed into Large Language Models and Retrieval-Augmented Generation (RAG) frameworks.
Data Governance, Quality & Compliance:
- Data Contracts & Observability: Implement machine-readable data contracts (Schema, SLOs, and DQ rules) for top PRO 360 data products. Oversee automated data quality monitoring and anomaly detection using platform observability tools.
- Privacy & Compliance Controls: Architect and develop automated governance controls to map data assets to privacy classifications. Ensure strict adherence to GDPR and CCPA, including the automated management and suppression/deletion of consent data.
- Policy as Code: Translate business and regulatory policies into enforceable, automated standards within the CI/CD pipeline, eliminating manual configuration errors.
- Federated Data Sharing: Manage the governance of sharing PRO 360 data with internal pillars (FCSD, FPI, FMCC) and external partners (e.g., D&B, S&P) through secure, role-based, and attribute-based access controls.
Bachelor’s / Masters’s Degree in Computer Science, Data Engineering, Information Technology, or a related technical field.
Required Qualifications
- 10+ years of hands-on experience in Data Engineering, Data Architecture, or AI/ML Ops, with 3+ years in a technical leadership.
- Deep technical proficiency in Google Cloud Platform (GCP) data services, including BigQuery, Cloud Composer, Dataflow, Pub/Sub, and Dataplex.
- Proven track record of operationalizing AI/ML models and supporting GenAI/Agentic AI infrastructure (Vertex AI, LLM orchestration).
- Strong programming skills in Python and SQL, with proficiency in Terraform/IaC for infrastructure automation.
- Experience building and scaling Customer Data Platforms (CDPs), Master Data Management (MDM) solutions, or complex B2B data ecosystems.
- Familiarity with CRM integrations (specifically Salesforce) and enterprise billing/financial data flows.
- Strong understanding of enterprise data governance, data contracts, and global privacy regulations (GDPR, CCPA).
- Excellent communication skills with the ability to translate complex technical architectures to business stakeholders and executive leadership.
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 child care 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 leadership level 6 and ranges from $132,800-$250,800.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Visa sponsorship 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. 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.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
LI-Hybrid
LI-GR1
Overview
At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
PRO 360 requires a Data Engineering Manager to design, develop, and maintain the enterprise data architecture that unifies commercial customer data across Vehicles, Service, Software, and Ford Credit.
- Lead Data Engineering: Drive the development of real-time and batch data pipelines, manage GCP infrastructure, ensure code quality, and oversee integrations with downstream systems like Salesforce and Marketing Cloud.
- Drive AI Data Initiatives: Architect data foundations to support AI monetization, including predictive analytics and cutting-edge Agentic AI workflows leveraging Google Vertex AI and Gemini.
- Enforce Data Governance: Implement "Policy as Code," machine-readable data contracts, data quality observability, and strict privacy controls (GDPR, CCPA, PRO ID management).
Why This Role Matters As the definitive source of truth for Ford Pro’s commercial customers, PRO 360 is the engine behind Ford Pro’s growth and efficiency goals. This LL6 leadership role ensures that our data is scalable, AI-ready, and highly governed—directly enabling Ford Pro’s commercial success.
Job Responsibilities
Data Engineering:
- Lead Engineering Execution: Manage and mentor pods of data and software engineers to design, build, and deploy domain-driven data products on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow).
- Platform Modernization: Drive critical infrastructure initiatives, including the migration to GCP 3.0, adoption of DataOps packages, and the decommissioning of legacy tech debt to ensure highly performant and cost-optimized cloud operations.
- Ecosystem Integration: Architect real-time and batch data pipelines to ingest fragmented data and serve unified profiles to downstream operational systems, specifically Salesforce (Sales/Service Cloud), Marketing Cloud, and Ford Credit billing systems.
- Engineering Craftsmanship: Enforce rigorous engineering standards, ensuring 100% of PRO 360 repositories maintain SonarQube "A" ratings for reliability, security, and maintainability, and championing CI/CD automation.
- Technical Leadership: Act as the Directly Responsible Individual (DRI) for technical deployments, collaborating with Product Managers and Product Anchors to translate business OKRs into scalable technical backlogs.
AI Initiatives:
- AI Data Readiness: Architect and optimize data models to support high-priority machine learning initiatives ensuring training and inference pipelines are highly available and scalable.
- Agentic AI Enablement: Lead the data integration strategy for next-generation Agentic AI workflows (using Vertex AI, Gemini, and Agent Platforms), enabling autonomous lead generation, pipeline observability, and conversational AI dashboards.
- Feature Engineering & ML Ops: Collaborate closely with Data Scientists and AI Engineers to transition ML models from proof-of-concept to production, ensuring seamless integration into the PRO 360 ecosystem.
- Unstructured Data & RAG: Build pipelines to process and structure complex datasets (e.g., telematics, connected vehicle data, unstructured web leads) to feed into Large Language Models and Retrieval-Augmented Generation (RAG) frameworks.
Data Governance, Quality & Compliance:
- Data Contracts & Observability: Implement machine-readable data contracts (Schema, SLOs, and DQ rules) for top PRO 360 data products. Oversee automated data quality monitoring and anomaly detection using platform observability tools.
- Privacy & Compliance Controls: Architect and develop automated governance controls to map data assets to privacy classifications. Ensure strict adherence to GDPR and CCPA, including the automated management and suppression/deletion of consent data.
- Policy as Code: Translate business and regulatory policies into enforceable, automated standards within the CI/CD pipeline, eliminating manual configuration errors.
- Federated Data Sharing: Manage the governance of sharing PRO 360 data with internal pillars (FCSD, FPI, FMCC) and external partners (e.g., D&B, S&P) through secure, role-based, and attribute-based access controls.
Bachelor’s / Masters’s Degree in Computer Science, Data Engineering, Information Technology, or a related technical field.
Required Qualifications
- 10+ years of hands-on experience in Data Engineering, Data Architecture, or AI/ML Ops, with 3+ years in a technical leadership.
- Deep technical proficiency in Google Cloud Platform (GCP) data services, including BigQuery, Cloud Composer, Dataflow, Pub/Sub, and Dataplex.
- Proven track record of operationalizing AI/ML models and supporting GenAI/Agentic AI infrastructure (Vertex AI, LLM orchestration).
- Strong programming skills in Python and SQL, with proficiency in Terraform/IaC for infrastructure automation.
- Experience building and scaling Customer Data Platforms (CDPs), Master Data Management (MDM) solutions, or complex B2B data ecosystems.
- Familiarity with CRM integrations (specifically Salesforce) and enterprise billing/financial data flows.
- Strong understanding of enterprise data governance, data contracts, and global privacy regulations (GDPR, CCPA).
- Excellent communication skills with the ability to translate complex technical architectures to business stakeholders and executive leadership.
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 child care 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 leadership level 6 and ranges from $132,800-$250,800.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Visa sponsorship 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. 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.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
LI-Hybrid
LI-GR1
See all 1,193+ H-1B Visa Data Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Engineering Manager Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Engineering Manager
Align your credentials to specialty occupation standards
USCIS evaluates whether your degree field directly relates to data engineering management. A computer science or information systems degree is the clearest fit. If your degree is adjacent, gather course transcripts showing data systems coursework before applying.
Target employers with active LCA filing history
Search Migrate Mate to filter employers who have filed Labor Condition Applications for data engineering and management roles. This confirms they have experience running H-1B petitions for this occupation, not just engineering individual contributor positions.
Verify prevailing wage tier before evaluating offers
Use the OFLC Wage Search to look up wage levels for your job title, SOC code, and metro area. Data Engineering Manager roles often fall at Level III or IV. An offer below the certified LCA wage will fail DOL review.
Confirm your role meets O*NET management criteria
Pull the O*NET profile for database administrators and data architects to check which tasks and knowledge areas USCIS expects. Data Engineering Manager petitions are stronger when the job description maps directly to O*NET's listed tasks for the occupation.
Plan around the cap and registration window
USCIS opens H-1B registration in March for the fiscal year starting October 1. If you're not already on a valid H-1B, your employer must register you in that window. Missing it means waiting another year unless you qualify for a cap-exempt employer.
Negotiate petition filing timeline into your offer
Ask your employer to confirm whether they'll file standard or premium processing before you accept. Standard processing can run several months; premium processing through USCIS gets a decision within 15 business days. This affects your start date and status transition planning.
H-1B Visa Data Engineering Manager: Frequently Asked Questions
Does a Data Engineering Manager role qualify as an H-1B specialty occupation?
Yes. USCIS classifies Data Engineering Manager as a specialty occupation because the role typically requires at least a bachelor's degree in computer science, information systems, or a closely related field. The job description must show that a specific degree field is a standard requirement for the position, not just a preference.
Which employers sponsor H-1B visas for Data Engineering Manager positions?
Tech companies, financial institutions, healthcare systems, and large consulting firms are the most consistent H-1B sponsors for this role. Employers in industries with mature data infrastructure teams file LCAs for this occupation regularly. Use Migrate Mate to browse current openings filtered by employers with active H-1B filing history for data engineering management roles.
How does the prevailing wage requirement affect Data Engineering Manager H-1B petitions?
Your employer files an LCA with the DOL certifying your offered salary meets the prevailing wage for the role in your work location. Data Engineering Manager typically maps to a higher wage level given the management component. If the offered salary falls below the certified wage level, DOL will reject the LCA and the H-1B petition can't proceed.
Can I transfer my H-1B to a new Data Engineering Manager role at a different company?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as the new petition is filed, as long as you're in valid status and your prior petition was approved. The new employer must file a fresh I-129 and LCA for the Data Engineering Manager role. You don't need to wait for approval before starting.
Does managing a team affect how USCIS evaluates the specialty occupation standard?
It can work in your favor. Petitions for managerial roles are stronger when the job description demonstrates that the management duties are secondary to specialized technical oversight, not general administration. USCIS looks for evidence that the degree requirement flows from the technical nature of the work, not just the seniority of the title.