Senior Vice President, Head of Enterprise Data Management

Responsibilities

• Responsibilities include:
• Enterprise Data Standards, Governance & Stewardship
• Own the enterprise data governance framework, including the standards, policies, and operating models that define how enterprise data is created, mastered, and consumed across the firm.
• Define enterprise standards for master and reference data domains, ensuring consistent definitions, governance processes, and lifecycle management across systems and platforms.
• Establish definitions of data ownership, stewardship responsibilities, and quality expectations for data assets.
• Oversee enterprise data stewardship models that ensure data assets are maintained in accordance with defined standards and governance frameworks.
• Drive cross-domain alignment of definitions, standards, and stewardship practices across systems and workflows.
• Partner with business, domain, and technology stakeholders to embed governance practices and ensure enterprise data assets are managed with appropriate oversight and lifecycle controls.
• Data Operations, Quality & Incident Management
• Establish a centralized operational view across the firm's data ecosystem, providing a single pane of visibility into data quality, operational health, and enterprise data delivery.
• Establish the operational frameworks and processes for enterprise data quality monitoring, incident management, issue triage, and remediation.
• Define operational controls and performance metrics to ensure reliable and timely delivery of certified enterprise data.
• Oversee enterprise data issue management, including escalation, root cause analysis, and remediation of data quality and operational incidents.
• Partner closely with Data Platform Engineering, Infrastructure, and Security teams to ensure operational alignment across the data ecosystem.
• Oversee the global data operations model, including leadership of the Hyderabad-based operations organization responsible for day-to-day monitoring and support.
• Master & Reference Data Lifecycle Management
• Oversee the operational management of the firm's master and reference data platforms and workflows. Experience with MDM tools and platforms such as Semarchy, Reltio, and bi-directional integration tools for MDM.
• Establish operating models for mastering and maintaining core data entities across systems and platforms.
• Ensure master data standards are embedded across engineering pipelines, integrations, and downstream platforms.
• Partner with domain experts and technology teams to modernize legacy data mastering processes and transition siloed data management practices toward enterprise models.
• Vendor & Market Data Management
• Oversee the sour

Benefits

Additional Information

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/

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