Senior Vice President, Head of Data Engineering & Architecture

Position Overview

As the Head of Data Engineering & Architecture within Oaktree's Information Solutions team, you will play a pivotal role in shaping and delivering innovative data solutions that drive competitive differentiation. Leveraging your expertise in technology, leadership, and industry trends, you will design and implement scalable, reusable, and trusted data assets that empower decision-making and operational efficiency across the firm. Oaktree is a leader among global investment managers, managing $203 billion in assets with over 1,200 employees in 23 cities worldwide.

Key Responsibilities

• Establish and govern an enterprise data governance roadmap including strategic priorities for developing information-based capabilities.
• Roll out a data governance framework focused on improving data quality and protecting sensitive data through updated policies, standards, and governance metrics.
• Define roles and responsibilities for data governance and ensure clear accountability for stewardship of the company’s principal information assets.
• Design and execute a data engineering roadmap and oversee the movement of large volumes of data into the data lake.
• Define and execute a comprehensive data strategy aligned with business objectives, delivering measurable ROI.
• Lead the vision, development, and delivery of scalable, reusable, and trusted data products that meet cross-functional needs.
• Partner with stakeholders across Investment, Technology, Operations, and Risk & Reporting teams to ensure data solutions drive decision-making and operational efficiency.
• Manage a team of data engineers and architects to build modern tech solutions using the Azure tech stack.
• Architect, design, and implement a robust and scalable data architecture on Microsoft Azure, including data pipelines, warehousing solutions, and analytics workloads.
• Collaborate with data scientists to deploy Azure Machine Learning and AI solutions while enforcing data governance, quality, and metadata management across the environment.
• Communicate current and future state architectures with stakeholders and manage partner relationships.

Required Qualifications

• Bachelor’s degree in Computer Science, Finance, or a related discipline.
• 15+ years of experience in the data and analytics space, including 10+ years in a similar leadership role.
• Proven knowledge of the asset management industry and its asset classes for bridging business and technical requirements.
• Strong understanding of core data concepts, including Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, and Index/Benchmark data.
• Experience working with industry data sources (e.g., Bloomberg, FactSet, Morningstar, ESG, and alternative data).
• Hands‑on experience with data warehouse, data lake, and cloud solutions, especially within the Azure ecosystem.

Preferred Qualifications

• Exceptional relationship building and communication skills with the ability to influence across multiple levels.
• Strong independence combined with a collaborative mindset, ensuring work is driven effectively with limited supervision.
• High work ethic, flexibility, and stellar organizational skills to manage shifting priorities.
• Robust intellectual curiosity and advanced problem-solving capabilities coupled with sound judgment.
• Consistent track record in driving results through aggressive timelines and clear ownership of tasks.

Benefits & Perks

• Compensation: $225,000 - $250,000 base salary, commensurate with experience and qualifications.
• Eligibility for discretionary bonus incentives.
• Flexible work arrangement.
• Equal Opportunity Employment: Oaktree is committed to diversity and does not discriminate based on any protected classification.
• For positions based in Los Angeles, qualified applicants with a criminal history will be considered in accordance with applicable laws.