FOO Manager, Platform Management, Innovation and AI

Invesco Ltd. • Downers Grove, IL

5d • Hybrid

About The Position

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. 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.

Requirements

• 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 outcomes
• Strong communication and stakeholder partnership skills

Nice To Haves

• Hands-on experience with agentic frameworks (e.g., LangGraph, Strands Agents) and cloud-native AI services like Amazon Bedrock a PLUS.

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed