Enterprise Data & AI Solutions Architect Lead

Hitachi Automotive Systems Americas, Inc.

Dallas (TX)

Hybrid

USD 130,000 - 160,000

Full time

14 days+

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Job summary

Hitachi Automotive Systems Americas, Inc. is looking for a highly experienced Data Solution Lead to drive growth in North America through innovative enterprise data and AI solutions. This role requires expertise in solution architecture, business development, and strong stakeholder management.

The ideal candidate should possess over 12 years of experience in data engineering and analytics, along with a Bachelor’s or Master’s degree in Computer Science or related fields. The position emphasizes the creation of AI-powered data platforms and requires effective collaboration with internal and external teams.

Qualifications

  • 12+ years of experience in Data Engineering, Analytics, or Enterprise Architecture roles.
  • Strong blend of technology leadership and business development expertise.
  • Experience selling and building large enterprise data platforms.

Responsibilities

  • Drive growth across the North America region through data and AI solutions.
  • Design end-to-end AI-powered enterprise data platforms.
  • Lead solutioning efforts for large-scale data modernization programs.

Skills

Data platform architecture
AI solutions development
Stakeholder management
Data pipeline design
Cloud platforms (AWS, Azure, GCP)

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Snowflake
Databricks

Job description

Hitachi Automotive Systems Americas, Inc. is looking for a highly experienced Data Solution Lead to drive growth in North America through innovative enterprise data and AI solutions. This role requires expertise in solution architecture, business development, and strong stakeholder management.

The ideal candidate should possess over 12 years of experience in data engineering and analytics, along with a Bachelor’s or Master’s degree in Computer Science or related fields. The position emphasizes the creation of AI-powered data platforms and requires effective collaboration with internal and external teams.

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