Data Office Director
Listed on 2026-07-08
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IT/Tech
Data Engineering, Data Analyst, Data Security, Data Science Manager
Join us in San Diego, CA as Data Office Director
Founded in 1974, Brandes Investment Partners is a pioneer in global value investing. We serve institutions, pension funds, intermediaries, and financial advisors worldwide through a disciplined, long-term investment approach grounded in the principles of Benjamin Graham.
We are passionate about our value investment philosophy and we are expanding our distribution team. This is a compelling opportunity to join a firm with renewed tailwinds, differentiated insights, and a long-term orientation.
SummaryData is no longer just a byproduct of business; it is a strategic asset. We're seeking a Data Office Director to lead and execute our enterprise data strategy, helping shape the future of data, analytics, governance, and AI across Brandes Investment Partners. This is a unique opportunity for a visionary leader who thrives at the intersection of business strategy, data governance, analytics, and emerging technologies.
This role is positioned in La Jolla, California and reports into the Global Head of Operations and Technology. In accordance with California Pay Transparency requirements, the expected annual compensation range for this role is $200k-$250k with opportunity for additional discretionary compensation.
In this role, you will:- 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
- Data governance and operating model design
- Modern cloud data platforms and analytics ecosystems
- Snowflake, Power BI, Azure, dbt, Airflow, and related technologies
- AI governance, data literacy, and analytics adoption programs
- Building influence across business and technology functions
- Certified Information Privacy Professional (CIPP)
- DAMA CDMP (Data Management Professional)
- dbt certification
- Microsoft Fabric Analytics Engineer (emerging)
- Snowflake Snow Pro (Core or Advanced)
- Fabric / Synapse
- Snowflake Cortex
- Bachelor’s degree in information technology, Computer Science, or related field with a minimum of 7 years of relevant experience.
- Advanced degree preferred.
- 4+ years of relevant experience for a CDO-level role; 5+ years for a Data & Analytics Manager-level role.
- Experience in asset management, financial services, or another highly regulated environment strongly preferred.
We're looking for a leader who embraces a "Data as an Asset" mindset and can translate data strategy into measurable business outcomes within a highly regulated environment. If you're passionate about creating trusted data foundations, enabling AI at scale, and helping organizations make smarter decisions through analytics, we'd like to hear from you.
Why Join Brandes Our WorkplaceWe are looking for dynamic and self-motivated people with differing perspectives and experiences to roll up their sleeves and become part of a team culture that places a high value on mutual respect. At Brandes, you will work in an environment where colleagues can connect, thrive, and grow, and where we value our clients and place their interests ahead of our own.
- Comprehensive medical, dental, and vision (HSA and FSA options)
- Fertility benefits, telemedicine, and mental health support
- Generous PTO, holidays, and parental leave
- 401(k) match and profit sharing with employer contributions
- Company HSA contributions
- Life, disability, critical care, and pet insurance
- Fitness benefits, wellness programs, and employee-led resource groups
- Paid time off to volunteer in your community
- Employee Assistance Program (EAP) and mental health resources
- CFA sponsorship and generous tuition reimbursement
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