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FOO Manager, Platform Management, Innovation and AI

Invesco
Downers Grove, United Statesfull_timeVerifiedPosted 6 May 2026
💰 $185,000/yr($165,000/yr – $185,000/yr)

About the role

About Invesco

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

What’s in it for you?

Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: 

  • Flexible paid time off

  • Hybrid work schedule 

  • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution 

  • Health & wellbeing benefits 

  • Parental Leave benefits 

  • Employee stock purchase plan

Job Description

Your Team:
Platform Management sits within Front Office Operations and partners closely with Technology, Operations, Risk, and Business stakeholders to deliver scalable, reliable, and compliant platform capabilities. The team focuses on translating business needs into durable solutions that improve efficiency, transparency, and control across investment and enterprise workflows. We emphasize practical delivery, governance, and long-term operational ownership rather than experimentation alone. Innovation, automation, and responsible AI adoption are key enablers of our strategy.

Your Role:
The FOO Manager for Innovation and AI is responsible for designing and delivering applied AI and automation solutions that enhance operational performance across enterprise and investment platforms. This role bridges business, operations, and technology to translate complex problems into scalable, production-ready solutions with measurable outcomes. The position emphasizes responsible AI practices, working with an established governance ecosystem but still capable of creating a governance process from the ground up and deploy into regulated environments. You will provide leadership and direction while acting as a trusted advisor to stakeholders across the organization.

You Will Be Responsible For:
Designing and delivering applied AI and automation solutions that improve efficiency, accuracy, scalability, or decision-making

  • Partnering with technology and platform teams to deploy AI solutions into production environments

  • Navigate complex conversations and architectural design discussions with Information Security, Cloud Engineering, Legal & Compliance, Enterprise Architecture, and business partners to Ensuring AI solutions are auditable, secure, and aligned with enterprise architecture standards

  • Contributing to model deployment, monitoring (performance, drift, cost, latency), and operational resilience

  • Applying responsible AI principles including transparency, human-in-the-loop controls, and bias awareness

  • Aligning AI initiatives with internal policies, compliance expectations, and regulatory considerations

  • Define and track key performance metrics to evaluate AI solutions, providing data-driven recommendations for production readiness.

  • Communicating AI concepts, risks, and tradeoffs clearly to non-technical stakeholders


The Experience You Bring:

  • Strong programming experience in Python; SQL strongly preferred

  • Hands-on experience delivering generative AI solutions (e.g., LLMs, RAG, prompt strategies)

  • Solid understanding of machine learning fundamentals, data preparation, LLM’s logging of chain of reasoning to understand LLM logic at any given time, and model evaluation

  • Familiar with modern orchestration frameworks such as LangChain, LangGraph, AWS Strands Agents, or the Google Gen AI SDK to build agents that plan and execute multi-step tasks.

  • Experience deploying AI or advanced analytics solutions beyond proof-of-concept

  • Familiarity with production environments, including cloud platforms and APIs

  • Experience operating in regulated or risk-sensitive industries strongly preferred

  • Ability to align technical solutions to operational goals and measurable o       utcomes

  • Strong communication and stakeholder partnership skills

  • Hands-on exper

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Company

Invesco

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