VP Engineering- Data & ML Platforms at Ford Global Career Site

, , United States -

Full Time

Start Date

Immediate

Expiry Date

09 Jan, 26

Salary

0.0

Posted On

11 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Domain Expertise, Data Engineering Leadership, Data as a Product, Data Technologies, Modern Architecture, AI and Machine Learning Application, ML and AI Platforms, SAS Platform, Data Science Lifecycle, Cloud Computing, Innovation, Technology Transformation, Collaboration, Communication, Leadership, Financial Management

Industry

Motor Vehicle Manufacturing

Description

The people of Ford Motor Credit Company have a 60-year commitment to helping put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to five thousand dealers and more than four million customers in over 100 countries around the world. If you’re customer-focused, driven and seeking the opportunity to experience exciting challenges and growth, look no further. The Vice President of Data & ML Platforms will lead Ford Credit into the future. We are engaging in a digital transformation to deliver a best-in-class end-to-end customer experience, making Ford Credit a loyalty machine. That is why customers choose and stay with Ford Motor Company. This is an exciting technology opportunity for a seasoned leader to create technology-driven transformation that drives strategic value. In this position... This role is pivotal in shaping and executing the data strategy that underpins Ford Credit's critical business functions, from loan origination and decisioning to customer analytics and risk management. You will be responsible for leading a large, geographically dispersed team of over 120+ engineering professionals. Your role will involve not only technical leadership but also significant financial and resource management, with oversight of large strategic projects. A key aspect of this position will be your ability to translate complex technological landscapes into clear, actionable strategies for both technical teams and C-level executives. This is a highly influential role that requires a blend of deep technical expertise, strategic thinking, and leadership to drive impactful and complex programs. This role reports to the SVP of Global Shared Services (AI, Data, Enterprise Architecture). What you'll do... Hands-on technical leader who mentors and inspires a global team of data engineers and machine learning platform professionals, fostering a culture of innovation, collaboration, and technical excellence. Oversee the execution of large-scale, complex, and impactful programs related to data platform development, data warehousing, and the implementation of machine learning systems. Execute a comprehensive data strategy that aligns with Ford Credit's business objectives, with a focus on modernizing our data platforms and capabilities. Assume financial management responsibility for a portfolio of data and platform engineering projects, executed by purchased services and team members. Continuously engage with business leaders to understand their needs, align objectives, and communicate the value and impact of data engineering initiatives. Partner with business leaders on ensuring solutions with data quality, governance and compliance facilities. You'll have... Data Domain Expertise : A comprehensive understanding of the data domain, including data warehousing, data governance, and the flow of data across a large enterprise. Data Engineering Leadership : Deep expertise in data engineering, sufficient to lead and guide large teams in building and maintaining robust data pipelines and platforms. Technical depth to guide and mentor senior data engineers, architects, and platform engineers. Data as a Product : Ability to create data as a product for consumers using the latest technologies and concepts leveraging AI. Data Technologies (GCP preferred) : Ability to architect and implement platforms on Google Cloud Platform (GCP) utilizing cloud-native technologies such as BigQuery, Dataflow, Dataform, AlloyDB, etc. Modern Architecture : A strong understanding of microservices and high-throughput architectural patterns, particularly in the context of leveraging machine learning for loan decisioning. AI and Machine Learning Application : The ability to leverage artificial intelligence and machine learning to solve real-world business problems, moving beyond theoretical knowledge to practical application. ML and AI Platforms : Have opinionated views on the best machine learning and agentic platforms to leverage for creating enterprise products. SAS Platform : Familiarity with the SAS Viya platform including RTDM and MRM preferred. Data Science Lifecycle : A thorough understanding of the data scientist lifecycle, including familiarity with common machine learning algorithms (supervised, unsupervised, reinforcement learning) and the associated open-source technologies such as Python, XGBoost, Scikit-learn, Jupyter, etc. Even better, you may have... Experience with cloud computing platforms like Google Cloud, AWS, or Azure. Having perspective to build partnerships, drive technology transformation and develop capabilities from the outside/in to support a growth strategy. Innovating, anticipating the future, and working toward continuous improvement in the technology teams. Taking personal ownership for advancing significant technology change. Inspiring others by communicating a compelling technology vision, role modeling Excellence, Focus, and Collaboration as defined by our Ford Operation System Behaviors. Communicating a new direction or change with a clear rationale and sense of urgency. Creating or taking advantage of multiple opportunities to promote needed change. Adapting communication content, approach, or style around change to appeal to different audiences. Cultivating relationships and collaborating with peers and colleagues across skill teams; Unlocking potential in teams, building, developing, and fostering talent. Interacting with and influencing senior management enterprise-wide. Holding leaders accountable for setting direction (SMART goals), leading the work, and solving problems. What you'll receive in return… As part of the Ford family, you’ll enjoy excellent compensation, and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition. Our benefits summary can be found here . 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 childcare 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. Visa sponsorship is not 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 committed to a culturally diverse workforce. 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. #LI-WC

Responsibilities

Lead the data strategy that supports Ford Credit's business functions, overseeing a large team of engineering professionals. Execute large-scale programs related to data platform development and machine learning systems.