# V&V Governance Engineer

**Company**: Ford Motor Company
**Location**: Dearborn, MI
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $85,400-$150,000
**Category**: Engineering
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/67165?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_14789b49-7e3

## Description

Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners.

The V&V Governance QOS Engineer is a technical role responsible for strengthening Verification & Validation governance, process alignment, assessment readiness, and quality analytics. The role aligns V&V execution to FAP03-149, applicable Ford FAP/QOS procedures, ISO 26262, Automotive SPICE, and, where applicable, ISO 8800.

Responsibilities:

- Define, maintain, and improve V&V QOS processes, governance routines, templates, and assessment criteria aligned to FAP03-149, Ford FAP/QOS procedures, ISO 26262, Automotive SPICE, and ISO 8800 where applicable.

- Map Agile execution artifacts to formal DV/PV and Software Test Plan expectations, including requirement applicability, SME reviews, milestone timing, evidence retention, regulatory controls, and deviation handling.

- Own end-to-end traceability rules and automate checks for missing links, incomplete evidence, stale data, and assessment readiness gaps.

- Lead tool confidence and evidence governance for systems used to create, manage, or report verification evidence.

- Develop dashboards, KPIs/KRIs, audit automation, and quality predictive analytics to identify leading indicators, defect escape risk, evidence risk, and milestone readiness concerns.

- Drive corrective/preventive actions, process adoption, training, and stakeholder alignment across V&V, quality, safety, software, and program teams.

Qualifications:

- Bachelor's degree in Engineering, Computer Science, or equivalent experience.

- 2+ years of experience defining, deploying, or assessing V&V, quality, safety, or regulated engineering processes.

- Working knowledge of FAP03-149 or equivalent DV/PV governance, including verification planning, evidence expectations, reviews, milestones, regulatory requirements, and deviation management.

- Assessment-capable knowledge of ISO 26262, Automotive SPICE, and/or ISO 8800, with ability to evaluate evidence, document gaps, and drive corrective/preventive actions.

- Ability to build or govern dashboards, metrics, traceability checks, and audit automation using data-driven methods.

- Experience applying quality predictive analytics, including trend analysis, leading indicators, risk modeling, and preventive action planning.

- Strong communication, stakeholder alignment, and process adoption skills across cross-functional engineering teams.

Benefits:

- 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.

## Skills

### Required
- V&V Governance
- Quality Analytics
- ISO 26262
- Automotive SPICE
- ISO 8800
- FAP03-149
- Agile execution
- DV/PV
- Software Test Plan

### Nice to have
- Python scripting
- workflow automation
- test management systems
- defect tracking
- evidence pipelines
- compliance reporting
- AI-enabled safety practices

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