Ares is seeking a Managing Director-level technology executive to serve as Head of AI Engineering and Data Platforms, a critical leadership role responsible for the engineering design, delivery, and operation of the firm’s enterprise Data and AI platforms. This leader will play a central role in enabling Ares’ continued global growth by building highly scalable, secure, and resilient data and AI engineering capabilities that support the full investment lifecycle across Private Credit, Liquid Credit, Private Equity, Real Assets, Secondaries, and related strategies. Reporting to the Head of Data and AI, the Head of Data and AI Engineering serves as the senior-most engineering authority for data and AI within the firm, translating strategy into execution through disciplined platform engineering, architectural excellence, and operational rigor. This role owns the build and runs of Ares’ core data infrastructure—including enterprise data lakes, cloud-native data platforms, and analytics enablement—while also leading the engineering of next-generation AI platforms leveraging LLMs, RAG-based architecture, and proprietary AI capabilities. This leader will operate as a hands-on executive engineer, responsible for setting technical direction, establishing engineering standards, and ensuring consistent, high-quality delivery across globally distributed teams. The role requires deep expertise in modern data and AI engineering, strong judgment in build-versus-buy decisions, and the ability to partner effectively with infrastructure, security, and application engineering leaders to deliver platforms that meet enterprise requirements for scale, resiliency, governance, and regulatory compliance. The successful candidate brings a proven track record of building and operating enterprise-scale data and AI platforms in complex, regulated financial services environments, combined with the leadership presence to influence senior stakeholders and develop high-performing engineering organizations. This role demands both strategic thinking and execution excellence, balancing innovation with stability while ensuring that data and AI platforms deliver measurable business value, accelerate decision-making, and provide durable competitive advantage for the firm
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Job Type
Full-time
Career Level
Executive