Finance Managed Services Manager

About the Role

As part of Deloitte's Finance Operate team, you will work with CFOs, controllers, and finance leaders to address complex finance and accounting challenges through scalable managed services solutions. Leveraging Deloitte's industry experience, technology ecosystem, and delivery capabilities, you will help clients modernize finance operations, strengthen controls and reporting, and drive better business outcomes. You will help grow our Controllership / Record-to-Report managed services offering in the Financial Services Industry. This role combines accounting domain expertise, managed services solutioning, Financial Services Industry experience, commercial acumen, and strong client leadership.

Key Responsibilities

• Architect and shape managed services solutions for Controllership / Record-to-Report opportunities within the Financial Services Industry.
• Lead business development activities, including sales pursuits, proposal development, client presentations, pre-request for proposal materials, and request for proposal responses for Finance Operate opportunities.
• Manage Finance Operate deal flow for the Financial Services sector, including pipeline visibility, opportunity qualification, pursuit prioritization, solution coordination, and handoff to mobilization and delivery teams.
• Lead or support engagement mobilization and ongoing delivery, including governance setup, transition planning, service management, issue resolution, and operational reporting.
• Drive continuous improvement, standardization, automation, and technology enablement across finance operations engagements.

Requirements & Tech Stack

• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work.

Qualifications

• Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
• 2+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
• 1+ years of experience with Palantir, including hands-on experience with one of the following key platform technologies: Foundry, AIP, Maven.
• 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
• 1+ years of experience building reliable, maintainable, and well-documented code.
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Ability to obtain and maintain a US government security clearance.

Preferred Qualifications:

• Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
• Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
• Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background (feature engineering, experimentation or model evaluation).
• Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
• Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
• Experience operating within hybrid onshore/offshore teams.
• Familiarity with security, privacy, and compliance considerations.