Ares Management

Data Product Manager, Operations Data

Los Angeles, California, USA · Senior · full-time

Sponsorship not specifiedDetected 42 days ago

PythonSQLDatabricksMachine LearningSparkData EngineeringLLMsProduct ManagementProduct StrategyProject ManagementAgileStakeholder ManagementUnityLeadershipCommunicationCollaborationMentoring

About the role

Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future.
This role sits at the intersection of Data, AI, and Operations, with a strong focus on investment operations data across the investment lifecycle.
The ideal candidate brings deep domain experience within the asset management investment lifecycle, strong product management discipline, and a working understanding of modern data delivery platforms.

Responsibilities

Partner with Investment Operations and Technology leadership to understand business objectives and data requirements, translating them into actionable data product initiatives.
Delivery Execution & Cross-Functional Collaboration Lead discovery and requirements sessions with Investment Operations to translate data needs into product capabilities (gold tables, APIs, semantic layers, feature sets).
Partner with Business Analysts, Engineers, and QA teams to translate operations data requirements into detailed user stories, acceptance criteria, and prioritized backlogs Act as the primary liaison between Operations team stakeholders and Data Engineering delivery teams, ensuring alignment, transparency, and timely issue resolution.
Collaborate with data engineering to design and ship pipelines using Databricks (Delta Lake, Spark, Jobs/Workflows, Unity Catalog), ensuring reliability and scalability.
Lead training and end user enablement workshops and identify opportunities to increase user engagement and value generated from data products.
Implement domain-aligned governance (entitlements, lineage, auditability) with Unity Catalog and ensure compliance with internal and regulatory requirements.
Lead backlog grooming, sprint planning, and release coordination to ensure predictable, high-quality delivery.
Drive initiatives to automate data delivery workflows and reduce operational risk through improved data platform design and integration.
Partner with stakeholders and leadership to assess emerging capabilities, including analytics and AI-enabled solutions, where appropriate.
Support data governance forums, steering committees, and working sessions related to operations data delivery and prioritization.

Requirements

Experience Required 5+ years in data product management, analytics, or closely related roles (or equivalent experience leading data platform initiatives).
Strong knowledge of asset management operations data (e.g., reference data, performance, treasury and investment-related operational data).
Experience with real estate operational data, including asset data, real estate investment structures and tenant management data.
Ability to define product requirements with technical depth (schemas, SLAs, lineage, quality rules) while staying outcome-focused.
Experience with modern data engineering patterns: ELT/ETL, CDC, orchestration, data modelling (dimensional and/or Data Vault), and lifecycle management.
ability to influence without authority.
Experience collaborating with engineering teams on system enhancements, integrations, and data-driven solutions.
Strong understanding of data engineering concepts and investment operations and MDM systems integration, including ETL processes, data warehousing, and reporting platforms.
Skills & Attributes Strong operations domain expertise combined with disciplined product management skills.
Ability to translate complex operations concepts into clear, structured data product requirements.

Nice to have

Advanced degree in a Computer Science field preferred.
SQL fluency preferred
comfort reading Python code and pipeline logic (not necessarily writing production code daily).

Benefits

Product Strategy & Roadmap Ownership Own the data product vision and roadmap for assigned Operations data domains, aligned with the Data & AI strategy and business priorities.
Work closely with AI teams supporting the data delivery to AI use cases, including agentic workflows, LLMs and other traditional machine learning needs.

Company info

Over the last 20 years, Ares' success has been driven by our people and our culture.
Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.

Visa & Work Authorization

dvisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more

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This listing is sourced directly from Ares Management's careers page and normalized into a canonical job model.