Platform Operations & Automation Analyst Consultant

GCM Grosvenor • Chicago, IL

2d • Hybrid

About The Position

GCM Grosvenor is seeking a Platform Operations & Automation Analyst consultant for the Finance Product Area within its Technology Product & Strategy department. This business-facing role supports finance applications while systematically automating recurring support work in partnership with Product Managers, Engineers, and AI agents. The goal is to reduce support and maintenance demands, improve data quality and integrity across finance and master entity data platforms, and expand business-user self-service through AI-powered knowledge skills, agents, and automated workflows.

The analyst will triage and resolve recurring support requests, investigate root causes, and help eliminate repeat issues through code fixes, upstream data-quality controls, AI skills, or automated workflows. Initial focus areas include master entity data cleanup and entity consolidation, integrations and data feeds among fund administration, portfolio monitoring, accounting, and CRM platforms, and recurring questions from Finance, Treasury, and Investment Operations users. The role will also scale existing Claude-based knowledge skills, issue-research and cleanup-script agents, and monitoring agents that triage errors into Jira. Future work includes upstream data validation and a formal support-to-roadmap feedback loop.

The position is based in Chicago and follows an onsite/hybrid schedule, with office attendance expected Tuesdays, Wednesdays, and Thursdays. The expected hourly range is $77–$90, subject to factors including experience, skills, and qualifications. The successful candidate will be self-motivated, collaborative, proactive, and comfortable working with colleagues at all levels in a fast-paced organization.

Requirements

• Bachelor’s degree or equivalent relevant experience.
• At least 2 years of experience as a Business Analyst for custom development and/or vendor implementations.
• Hands-on experience using generative AI tools such as Claude or ChatGPT to automate work by building prompts, skills, agents, or workflows that others rely on.
• Application or production support experience with a track record of eliminating recurring issues, not just resolving them.
• Strong SQL and data analysis skills, including statistical analysis, and ability to investigate data across multiple systems and databases to find root causes.
• Experience working collaboratively and with Agile methodologies.
• Effective communication skills and ability to synthesize complex concepts for varied audiences.
• Adaptable, dependable, and dedicated approach, with a continuous-improvement mindset and an interest in engineering away manual, repetitive work.
• Self-motivated, collaborative, proactive, and able to take initiative with discretion and judgment.

Nice To Haves

• Experience in investment analysis and the asset management industry.
• Familiarity with fund accounting, investor/LP administration, or finance operations platforms such as Investran, iLevel, Salesforce, or DealCloud.

Responsibilities

• Serve as the first point of contact for business-facing support across Finance Product Area applications, triaging, researching, and resolving issues and questions from Finance, Treasury, and Investment Operations users.
• Identify patterns in recurring support requests, manual workarounds, and data cleanup; quantify their cost, document root causes, and use those insights to influence prioritization with Product Managers.
• Build, maintain, and improve AI skills and agents that answer recurring business questions, research issues, and generate remediation steps, with appropriate human review before data-changing actions.
• Curate the knowledge base, including Confluence pages, runbooks, and system documentation, to power AI tools and enable self-service.
• Coordinate cross-team data remediation, such as entity consolidation and downstream impact analysis, ensuring owning teams validate changes and that changes are clearly communicated.
• Monitor data flows between integrated systems and hand off genuine production issues as clear, well-researched Jira stories.
• Support UAT and regression testing for fixes and enhancements, using AI to accelerate test planning and execution.

Benefits

• Eligible employees may elect comprehensive healthcare coverage, including medical, dental, vision, and life insurance.
• Flexible spending accounts.
• Employer-sponsored retirement plan.
• Paid time off.
• Parental leave.
• Short-term and long-term disability.
• Other care and wellness programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level