Senior Data Scientist ML Engineer

Data Product Development

• Lead the transformation of raw data landing in cloud platforms from Manufacturing systems into curated documented high-quality data products.
• Define and enforce data product standards: ownership schema versioning SLAs for freshness/completeness/accuracy discoverability and access controls.
• Oversee the build-out of ingestion transformation and publishing pipelines (batch and streaming) that convert raw operational data into standardized reusable data assets.
• Design and build data structures and semantic layers (ontologies knowledge graphs) that enable AI agents to interpret enterprise data consistently and with minimal human intervention.

Data Modeling & Architecture

• Design and develop data models (enterprise conceptual logical and physical) for assigned domains; manage and maintain models in a shared repository.
• Partner with product and analytics teams to translate use cases into data requirements providing architecture guidance data models and design reviews.
• Establish and enforce data architecture principles standards and best practices across the teams data products (catalog lineage observability security interoperability).
• Drive data quality initiatives: profile source-system data define data quality requirements and metrics and guide monitoring measurement reporting and remediation.

Platform & Tooling

• Drive adoption of cloud services like GCP as the technical backbone of the data mesh and data product ecosystem.
• Evaluate and implement metadata management and data catalog solutions to support discoverability and trust across the mesh.
• Establish monitoring observability and SLA-tracking for published data products.

Governance & Compliance

• Own and evolve the federated governance framework balancing global standards with domain-level autonomy ensuring compliance with Fords data security privacy and regulatory requirements.
• Implement automated policy enforcement (schema validation access control metadata cataloging lineage tracking) via GCP-native and third-party tooling.
• Partner with cybersecurity legal and compliance teams to classify and protect sensitive manufacturing and enterprise data.
• Ensure development patterns support Fords data security requirements and global privacy regulations (privacy and compliance by design).

• Masters degree in computer science Information Systems Data Engineering or a related field or equivalent combination of relevant education and experience.
• 5 years of experience in data architecture data engineering or advanced database design/modeling including designing or implementing databases data warehouses or data marts with exposure to large-scale manufacturing or industrial data environments.
• 15 years of experience leading managing or mentoring technical teams (direct people leadership matrixed leadership or lead/owner roles directing cross-functional teams).
• Hands-on experience creating data models using data modeling tools.
• Deep hands-on experience with GCP technologies including BigQuery Cloud Storage Dataform Data Fusion Astronomer or similar cloud data engineering tools.
• Demonstrated experience designing or implementing data mesh or domain-oriented data architectures.
• Understanding of AI/ML capabilities with experience modeling semantic layers knowledge graphs or ontologies for a data platform.
• Knowledge of data governance data quality and data product marketplace enablement practices.
• Proficiency in SQL Python and modern data pipeline/orchestration tools.
• Strong stakeholder management skills with the ability to work across plant floor operations teams and enterprise IT/analytics functions.

You may not check every box or your experience may look a little different from what weve 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 builderor 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 Years Day

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

This position is leadership level 6 and ranges from $132800-$250800.

Final determination of salary grade will be based on candidates skills and experience and base salary will be set within the applicable range according to job scope responsibility and competitive market value.

For more information on salary and benefits click here: sponsorship is NOT available for this position.

Relocation assistance is NOT provided for this role.

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 the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

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