Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Principal Architect - Data, AI, and Analytics
Dearborn, MI, United States
Live, first seen by us 33 days ago- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead a team of 40+ architects advising teams on data, AI and analytics systems
Align data, AI and analytics designs and implementations with technical strategy
Advise data engineering teams on domain-driven design and data modeling
Define and enforce architectural standards and security compliance
Define roadmaps for strategic tool selection and systems
From the employer’s posting
Lead a team of more than 40 architects around the world
Lead a cross-platform effort to align the design and implementation of data
Lead a team that advises data engineering teams on domain driven design, data modeling
Define and enforce architectural standards, ensuring compliance with industry standards, regulations, and security requirements
Seamlessly integrate and define roadmaps for our strategic tool selection and our strategic systems roadmap.
Education & alternatives
Minimum: • Bachelor's 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 • Master’s 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
• Bachelor's 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 • Master’s 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 1, 202633 days ago
- Recorded sightings
- 192
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 33
Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
Ford Motor is hiring
20 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
- 10% of open jobs were reposted
See how this role fits your experience
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Where the posting names them
Minimum: • Bachelor's 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 • Master’s 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
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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 Ford's 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:
• Bachelor's 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
• Master’s 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
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dearborn, MI, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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