Enterprise Data & Analytics Leader

Archer

San Jose (CA)

On-site

USD 219,000 - 300,000

Full time

14 days+

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Job summary

Archer, an aerospace company based in San Jose, California, seeks a Head of Enterprise Data & Analytics to define and lead the company’s data strategy and analytics capabilities. You will build and guide a team of data architects, data scientists, and engineers to ensure data is trusted, governed, scalable, and analytics-ready for growth and regulatory needs.

The role requires a hands-on leader who balances strategy with execution, partnering closely with business and technology leaders to

Qualifications

  • Bachelor’s degree in CS/Data Science/Engineering or related field; Master’s preferred.
  • 10+ years in data management, analytics or related roles with leadership.
  • Experience leading teams of data architects or data scientists.
  • Strong enterprise data architecture, warehousing and analytics platforms (cloud preferred).
  • Experience with data governance, quality frameworks, and regulated environments.

Responsibilities

  • Define and execute the enterprise data management and analytics strategy.
  • Lead data architecture, governance, privacy, analytics, and data science capabilities.
  • Set operating models, standards, and best practices for a growing public company.
  • Build and mentor a high-performing team of data professionals.
  • Partner with legal, finance, and compliance to support SOX and regulatory reporting.

Skills

Data leadership
Enterprise data architecture
Data governance & privacy
Cloud data platforms
Communication skills

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
Master’s preferred

Tools

Cloud data warehouses
BI tools
Orchestration frameworks

Job description

Archer, an aerospace company based in San Jose, California, seeks a Head of Enterprise Data & Analytics to define and lead the company’s data strategy and analytics capabilities. You will build and guide a team of data architects, data scientists, and engineers to ensure data is trusted, governed, scalable, and analytics-ready for growth and regulatory needs.

The role requires a hands-on leader who balances strategy with execution, partnering closely with business and technology leaders to

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