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Principal Architect - Data, AI, and Analytics

Ford
Dearborn, USA
Full-time
Senior · 10+ years experience
Hybrid
Discovered 3 weeks ago
gcp

Full Job Posting

Qualifications

  • 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
  • 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
  • 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

Responsibilities

  • 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
  • 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

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