About this role
Champion engineering best practices including code quality, automated testing, continuous integration/deployment, and comprehensive monitoring and documentation across all development teams Engage in architecting scalable, secure, and high-performance systems capable of processing millions of transactions while maintaining sub-second response times Drive adoption of modern development methodologies, cloud-native architectures, and microservices patterns Lead development of AI-powered recommendation engines, personalization systems, and intelligent sales automation tools that drive customer engagement and revenue growth Stay current with emerging AI technologies and evaluate their potential application to financial services and e-commerce domains Build, lead, and mentor multiple engineering managers and teams (20-50 engineers) including full-stack developers and quality assurance specialists Foster a culture of technical excellence, innovation, continuous learning, and collaborative problem-solving Establish clear career progression paths, implement effective performance management, and create mentorship programs that develop next-generation technical leaders with teams and with peers Ensure delivery of high-quality, scalable software products that meet aggressive timelines while maintaining rigorous quality standards Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, or related technical field, or comparable industry experience 10+ years of progressive software engineering experience with 5+ years in engineering leadership roles, managing multiple teams Expertise in cloud platforms (AWS, Azure, GCP), containerization, microservices, API design, and DevOps practices Experience building secure, compliant financial applications with knowledge of payment processing, fraud detection, and regulatory requirements Proven track record of scaling engineering organizations and delivering complex products in fast-paced, ambiguous environments Exceptional communication skills with the ability to influence cross-functional teams and present to executive audiences Experience with agile methodologies, project management, and balancing technical debt with feature delivery Strong analytical and problem-solving skills with a data-driven decision-making approach Experience with specific AI applications such as recommendation systems, natural language processing, computer vision, or reinforcement learning; alternatively, expertise in AI platforms (Gemini, Cresta, etc.) is a plus Knowledge of banking, insurance, lending, or investment products and associated regulatory environments Manage stakeholder expectations while advocating for technical investments and engineering resources necessary for long-term success Established and active employee resource groups
Other facts
About Ford
We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us.
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
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What you'll do
- The Director of Digital Commercial Engineering will champion engineering best practices and engage in architecting scalable systems. They will lead the development of AI-powered tools to enhance customer engagement and revenue growth.
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