Data Office Director: Strategy, Governance & AI

Brandes Investment Partners (asia) Pte. Ltd.

California (MO)

On-site

USD 200,000 - 250,000

Full time

14 days+

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Job summary

Brandes Investment Partners, L.P. in La Jolla, California is seeking a Data Office Director to lead and execute our enterprise data strategy across data governance, analytics, governance, and AI.

The role reports into the Global Head of Operations and Technology, with an annual compensation range of $200k-$250k and potential discretionary compensation. This is a strategic leadership position at the intersection of business, data, and technology.

Qualifications

  • Bachelor’s degree in information technology, Computer Science, or related field.
  • Advanced degree preferred.
  • CDO-level experience: 4+ years; 5+ years for Data & Analytics Manager level.
  • Asset management or financial services experience preferred.

Responsibilities

  • Lead the development of a modern data architecture and operating model.
  • Establish enterprise-wide data governance, stewardship, and quality frameworks.
  • Drive self-service analytics and data literacy across the organization.
  • Enable AI readiness and Microsoft Copilot adoption.
  • Partner with business and technology leaders to unlock the value of trusted data.
  • Define the roadmap for platforms including Snowflake, semantic models, and advanced analytics.

Skills

Data governance
Cloud data platforms
Snowflake
Power BI
Azure
dbt
Airflow
AI governance
Data literacy
Analytics adoption

Education

Bachelor’s degree in information technology or Computer Science
Advanced degree preferred

Job description

Brandes Investment Partners, L.P. in La Jolla, California is seeking a Data Office Director to lead and execute our enterprise data strategy across data governance, analytics, governance, and AI.

The role reports into the Global Head of Operations and Technology, with an annual compensation range of $200k-$250k and potential discretionary compensation. This is a strategic leadership position at the intersection of business, data, and technology.

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