Principal Architect Data, AI, and Analytics

The Principal Architect Data AI and Analytics leads a team of architects who guide shape and influence the direction of the data analytics and AI that underly all of Fords business. The Principal Architect works with senior leaders in Enterprise Technology and the Global Data & Analytics organization to ensure that Ford makes critical decisions based on a solid foundation of enterprise data.

This role will:
Lead a team of more than 40 architects around the world who engage with teams who are building and managing systems across the Data AI and Analytics platforms.
Lead a cross-platform effort to align the design and implementation of data (design transform and storage) AI (Applied AI) and analytics (reporting semantic layer LLMs use of data catalog and Knowledge Graph) technologies with overall technical strategy and industry trends.
Lead a team that advises groups across the company on how to ensure that data AI and Analytics systems are reliable performant and meet business needs.
Lead a team that advises data engineering teams on domain driven design data modeling (conceptual logical and physical) master data platform architectures canonical modeling and various enterprise data integration patterns
Drive technical alignment across all regions and skill teams to appropriately align systems to industry and company standards.
Collaborate with cloud and enterprise data center database infrastructure teams to build/configure the fit-for-purpose data platforms for functional use
Have domain knowledge in Automotive or Manufacturing or Industrials would be considered ideal
Collaborate with teams working on data AI and analytics systems and related technologies to ensure that they are connected with the longer-term portfolio strategy and roadmap and use judgement as to when these teams need to use existing commonly deployed technologies and when to blaze a new path.
Collaborate with cross-functional teams including Infrastructure developers operations and technical product managers to gather requirements and ensure the platforms and systems meet the needs of internal and external stakeholders.
Seamlessly integrate and define roadmaps for our strategic tool selection and our strategic systems roadmap.

Additionally the scope of this role will:

Influence leaders architects managers and engineers across the company
Lead by example regarding technical and software architecture by participating in design sessions and engineering projects
Lead a team of architects located in Dearborn Michigan and Chennai India.
Advise and mentor leaders and engineers on diverse topics including Data AI and Analytics systems.

Help the Global Data Insights & Analytics leadership drive a vision and roadmap for the future of our data AI and analytics platforms
Define and enforce architectural standards ensuring compliance with industry standards regulations and security requirements
Collaborate with the security team to ensure cloud-native applications and infrastructure meet cybersecurity standards
Advise on how to prioritize updates of existing systems to meet the desired new architecture
Stay on top of architecture trends and be prepared to advise teams across Ford how to keep up
Ensure solutions are fully aligned to the Ford technology strategy

Minimum:

Bachelors degree or equivalent experience in a relevant field
15 years of progressive responsibilities in IT or an IT focused business area
10 years of experience building and architecting data intensive applications (data integration at scale HA data platforms managing various data technologies relational document columnar virtual warehousing and architecting around various philosophies such as data mesh data lake and zero copy solutions)
10 years of experience in a field related to Data AI and Analytics systems
Working knowledge of cloud computing especially Google Cloud Platform
Working knowledge of data AI and analytics tools and technologies and how to apply it to real-world applications

Our preferred requirements
Masters degree or equivalent experience in a relevant field
Extensive demonstrated competency in technical architecture
Knowledge of cloud native concepts in software architecture and delivery
Working understanding of basic cybersecurity principles

Must be skilled at influencing leaders and workers across the company at many different levels
Must be able to think and act strategically without constraints
Must be able to develop a team including growing employees performance and maturity recruiting and retaining key talent.
Strong demonstrated competencies influencing peers and business partners
Strong communication and collaborative skills
Ability to thrive in ambiguity in leading teams to select the right solutions amid a complex environment
Proven ability to work closely with management one to four levels above and below both in the business and IT