Managing Director, Head of Data Platform Engineering

Our Company

Oaktree is a leader among global investment managers specializing in alternative investments, with more than $220 billion in assets under management. The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, equity, and real estate. The firm has more than 1,400 employees and offices in more than 25 cities worldwide.

We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.

The Data Solutions team at Oaktree Capital Management delivers trusted, high-quality data that powers the firm’s global investment and business operations. Through close collaboration with Technology and business partners, we drive data strategy, governance, and product delivery to enable reliable insights, operational efficiency, and a unified data foundation.

For additional information, please visit Oaktree’s website at http://www.oaktreecapital.com/

Responsibilities

As the Head of Data Platform Engineering within Oaktree’s Information Solutions organization, you will own the engineering strategy, delivery, and evolution of the firm’s enterprise data platforms. This role leads the teams responsible for building and operating both the firm’s modern cloud-based data platform and legacy data environments that support critical investment, operational, and reporting workflows.

You will be responsible for delivering reliable, scalable, and well-governed data platforms that enable analytics, reporting, and data product development across the firm. The role requires strong engineering leadership, balancing platform modernization with operational stability and disciplined delivery.

Working closely with Analytics Engineering, Data Operations, Data Product, Governance, and Technology teams, you will ensure that Oaktree’s data infrastructure enables trusted data, accelerates decision-making, and supports the firm’s long-term technology strategy.

Responsibilities include:

Data Platform Strategy & Architecture

• Own the engineering design, delivery, and evolution of the firm’s enterprise data platforms.
• Oversee the modernization and migration of legacy data environments while maintaining stability for mission-critical investment and operational workflows.
• Ensure platforms effectively support enterprise analytics, reporting, and data product development.
• Establish clear technology standards, reference architectures, and engineering guardrails to ensure consistency, scalability, maintainability, and interoperability across the data ecosystem.
• Partner with Architecture and Technology teams to define scalable, secure, and resilient platform standards.

Engineering Delivery & Execution

• Own end-to-end engineering delivery across the data platform organization, from roadmap planning through implementation and transition to production.
• Establish engineering practices that promote reliable, scalable, and maintainable platform development.
• Define and track engineering delivery metrics, including velocity, reliability, cost efficiency, and platform adoption.
• Experience building data platforms using cloud native tech stack in Azure, AWS, Snowflake, Databricks. Building pipelines using DBT, python, and other ETL technologies.
• Partner with Data Products and business stakeholders to align platform capabilities with enterprise data priorities.

Platform Reliability & Operational Readiness

• Ensure data platforms are designed and engineered for reliability, scalability, and operational supportability.
• Establish monitoring standards, operational guardrails, and incident response expectations for data pipelines and platform services.
• Partner with Data Operations team responsible for day-to-day platform monitoring and support.
• Participate in incident review and continuous improvement processes to strengthen platform reliability and performance.

Team Leadership & Development

• Define the engineering operating model, standards, and development practices for the data platform organization.
• Lead and develop data engineering teams responsible for enterprise data platform capabilities.
• Oversee both modern data platform engineering teams and legacy platform teams during the transition to cloud-native architectures.
• Establish engineering standards and promote a cultur