Enterprise Data Operations and Strategy Associate

Position Overview

Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes.

Come to Apollo and join a community of extraordinary people who are committed to a culture of excellence and collaboration in everything that we do. We invest in our people for the long term and are committed to supporting their development at every stage of their career.

Apollo Global Management is seeking an individual to work as a Data Associate within its Enterprise Data organization. This team provides drives strategic business impact by aligning data initiatives with business priorities.  The Enterprise Data organization works closely with Engineering, Operations, Transformation to enable key Apollo businesses on the adoption of data products and business intelligence tools. We partner cross-functionally to enable the firm to successfully execute on key strategic initiatives, to problem solve for complex objectives, and to provide central expertise around data strategy, governance, quality and operations.

Primary Responsibilities

• Proactively monitor and troubleshoot data quality failures, ensuring adherence to Service Level Agreements (SLAs), utilizing real-time data observability tools and automated anomaly detection platforms in line with next generation data governance practices.

• Perform detailed root cause analysis to identify data discrepancies, collaborating with technology and business teams to implement permanent solutions. Leverage data lineage tracing, advanced metadata management, and distributed tracing capabilities foundational to NextGen governance.

• Identify recurring data issues and trends, providing actionable insights and recommendations to improve data health. Apply modern data profiling, automated quality scoring pipelines, and centralized observability stacks to support continuous improvement.

• Partner closely with business units, technology teams, data owners, and data stewards on both tactical and strategic solutions to enhance Apollo’s data ecosystem. Foster cross-functional stewardship and embed governance-by-design principles throughout business processes.

• Drive regular communications with business partners and leadership, championing data governance best practices and advocating for adoption of cloud-native, scalable, and API-driven data management approaches.

• Maintain and continuously enhance documentation for data processes, workflows, and training materials to support user education and self-service, ensuring inclusion of guidance on emerging governance tools, real-time monitoring, data lineage, and evolving regulatory requirements.

• Analyze platform adoption and usage metrics to recommend enhancements that drive higher engagement, efficiency, and satisfaction. Utilize feedback loops and integrated analytics, supporting ongoing evolution of governance models.

• Participate in governance committees and operational reviews, supporting escalation procedures and policy setting for advanced data stewardship, operational excellence, and compliance.

• Collaborate on automation initiatives for data quality monitoring, policy enforcement, and workflow orchestration, ensuring alignment with industry best practices for NextGen data governance.

Qualifications & Experience

• Bachelor’s degree in Economics, Finance, Information Systems, or related discipline; advanced degrees or certifications in modern data management (e.g., CDMP, DAMA, or equivalent) are highly valued.

• 4+ years of professional experience in financial services, consulting, or technology firms in a data management, customer-facing, or business support role, with direct exposure to next generation data governance practices and tools.

• Strong analytical and problem-solving skills, with proven experience leveraging automated data quality monitoring, data lineage tracking, and distributed data observability platforms to i