About Ford Enterprise Data Platforms: At Ford data is at the heart of our transformation towards becoming a technology-driven mobility company. The Enterprise Data Platform (EDP) organization is responsible for building world-class data platforms and services that power AI/ML analytics and operational workloads at scale. We enable seamless data ingestion governance standardization and democratization across Fords ecosystem empowering business and engineering teams to unlock value from data.
We are seeking a visionary Director Enterprise Data Platform to lead the development and execution of Fords enterprise data platform strategy. This role is critical in driving engineering excellence ensuring platform adoption and delivering scalable secure and efficient data solutions. The ideal candidate will have deep expertise in data engineering cloud platforms and product-centric thinking coupled with strong leadership and execution capabilities.
Why Join Ford
Be at the forefront of Fords data and AI transformation influencing how data drives business decisions.
Work in a fast-paced innovation-driven environment with cutting-edge technology and industry-leading experts.
Enjoy a culture that values collaboration inclusion and career development.
Competitive compensation benefits and opportunities for professional growth.
Join Us in Shaping the Future of Data at Ford!
Strategic Leadership: Define and drive the roadmap for Fords Enterprise Data Platform aligning with business and technology goals.
Platform Development & Adoption: Oversee the design development and deployment of scalable data platforms ensuring broad enterprise adoption.
Data Governance & Compliance: Implement best-in-class data governance security and privacy frameworks to ensure compliance with industry regulations.
AI/ML Enablement: Lead efforts to integrate AI-driven capabilities such as SQL-to-code conversion LLM-powered debugging and self-service ingestion frameworks.
Cloud & Multi-Cloud Strategy: Optimize data platform capabilities across Google Cloud Platform (GCP) AWS and on-prem environments ensuring high availability and cost efficiency.
Engineering & Operational Excellence: Establish best practices for data engineering DevSecOps reliability and platform observability.
Talent & Organization Building: Attract develop and mentor top talent in data engineering and platform development fostering a high-performance team culture.
Cross-functional Collaboration: Partner with business units product teams and other technology leaders to ensure seamless data accessibility and usability across Ford.
15 years of experience in data engineering cloud platforms or enterprise-scale data management with at least 5 years in a senior leadership role.
Proven track record of delivering large-scale data platforms metadata catalogs data lakes data pipelines and streaming architectures.
Deep expertise in GCP (BigQuery Dataflow Pub/Sub) AWS or Azure and modern data stack technologies.
Experience in implementing data governance lineage classification and security policies at an enterprise level.
Strong understanding of AI/ML real-time analytics and observability platforms.
Exceptional leadership skills with a demonstrated ability to drive alignment influence stakeholders and lead diverse global teams.
Excellent communication and executive presence capable of engaging with senior leadership and business partners.
Preferred Qualifications:
Experience leading data transformations in automotive manufacturing or financial services industries.
Prior hands-on experience in Apache Beam Spark Kafka Airflow DataHub Looker and Kubernetes.
Background in architecting self-service data platforms and API-first data access frameworks.
Required Experience:
Director
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