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Supports technical program execution for Ford’s FNV3.x Cabin Climate and Heated Seats features. Responsibilities include maintaining roadmaps, tracking dependencies and milestones in Jira, identifying and mitigating risks, coordinating governance, managing scope changes, communicating with cross-functional engineering and quality teams, and supporting hardware, embedded software, validation, integration, and release readiness. The role also contributes to tradeoff decisions, success metrics, and platform transition execution.

Provides regional legal counsel across ASEAN and APDM on corporate, commercial, litigation, labor, finance, licensing, and regulatory matters. Acts as the regional data protection lead, advising on privacy laws, cross-border transfers, impact assessments, incident response, compliance policies, and training. Supports the global privacy team, government and local representatives, legal negotiations, compliance monitoring, and internal legal communications. Requires independent judgment, rapid decision-making, and the ability to establish data protection and AI governance capabilities.

Lead enterprise test automation across unit, contract, integration, API, UI, and end-to-end testing. Build scalable Java and TypeScript frameworks using Selenium and Playwright, integrate quality checks into CI/CD, manage compliant test data, troubleshoot failures, and develop reporting for release readiness. Evaluate AI-assisted testing tools and influence engineering teams’ quality practices.

Own end-to-end sourcing strategy for critical electric vehicle spend from supplier selection through launch. Partner with engineering, build should-cost models, lead negotiations and make-versus-buy decisions, and develop resilient global supplier networks. The role also addresses geopolitical and tariff risks, drives supply chain automation and robotics, and shapes supplier management systems and AI-enabled analytics.

Own end-to-end global sourcing strategy for critical electric vehicle spend from concept through launch. Lead supplier selection, negotiations, contracting, cost modeling, make-versus-buy analysis, supplier performance, and resilient dual-source strategies. Partner with engineering and suppliers on technical roadmaps, automation, robotics, geopolitical risk, tariffs, and trade compliance. Develop Tier 1 and Tier 2 supply bases while shaping supplier management systems, should-cost methodologies, and AI-enabled analytics.

Manage enterprise data-use requests and privacy reviews while supporting data governance, security, access management, and regulatory compliance. Analyze data using BigQuery, Alteryx, R, Python, SQL, PostgreSQL, and MongoDB. Collaborate with legal, business, security, risk, and technology stakeholders to implement privacy safeguards, support GDPR and CCPA audits, improve governance processes, and ensure responsible data use across Ford.

Design and govern Ford’s product-centric data platform architecture on GCP. Lead streaming pipelines, APIs, schema governance, data modeling, infrastructure-as-code, CI/CD, containerized services, and reusable developer frameworks. Establish technical roadmaps and architectural standards while mentoring data engineering teams and improving developer experience. The role requires extensive experience with cloud data platforms, Python, SQL, Java or Go, streaming technologies, Spark, Airflow, Terraform, and container orchestration.

Develop and validate occupant safety CAE models in LS-DYNA across frontal, side, rear, pedestrian, roof-strength, and low-speed impact scenarios. Collaborate with vehicle safety, design, suppliers, and component teams to correlate models, conduct DOE/DFSS optimization studies, assess occupant performance, and optimize safety components including airbags, seat belts, seats, steering columns, and interiors. Support vehicle architecture development, design reviews, simulation quality procedures, and production launch.

Develop and optimize embedded systems software for automotive infotainment, telematics, and connected-car platforms. Responsibilities include performance measurement, bottleneck analysis, system-level optimization, automated diagnostics, memory and power optimization, telemetry pipelines, remote logging, and hardware accelerator integration. The role requires embedded C/C++, Python, Linux or Android internals, multithreading, and RTOS experience, with preferred expertise in profiling tools and automotive networking.

Design and validate high-speed digital circuitry and subsection layouts for vehicle modules. Create schematics and documentation, perform worst-case and failure-mode analysis, define stress tests, validate performance across temperature/voltage extremes, troubleshoot root causes, and collaborate with software, mechanical, manufacturing teams and suppliers. Occasional travel required.