Director, Applied AI Engineering

Invesco Ltd. • Downers Grove, IL

1d • $215,000 - $225,000 • Hybrid

About The Position

The Director, Applied AI Engineering oversees technology development solutions across new and existing applications, systems architecture, data infrastructure and warehouses, and machine learning algorithms and infrastructure, including internal and external products. The role includes application maintenance and support, reviewing system requirements and business processes, and coding, testing, debugging, and implementing software solutions. It also provides management recommendations on short- and long-term information systems and technology strategy, including cost-benefit analysis, and interfaces with business, information systems, and technology managers on planning and implementation.

This global role within the D2E2 organization serves as the senior enterprise AI delivery and transformation leader, turning AI strategy into scaled and adopted outcomes. Reporting to the Global Head of AI Products, Analytics & Innovation, the director partners on AI strategy and roadmap, leads the AI Transformation Team and AI Delivery Pods, and owns the enterprise AI delivery roadmap and backlog. The role oversees delivery visibility, prioritization, business outcomes, operational ownership of deployed solutions, model governance, continuous improvement, and the development of the AI transformation organization and AI fluency across D2E2 and partner functions. It supports Distribution, Marketing, Finance, HR, ICAR, and other functions.

Requirements

• Experience leading AI delivery from concept through pilot, enterprise-scale production, and steady-state operations.
• Ability to apply a product-led delivery model with defined release cadences, MLOps standards, and post-launch support.
• Ability to move AI solutions from proof of value to production with predictable cost and quality.
• Experience directing AI strategists, change experience managers, digital owners, and business architects in enterprise transformation work.
• Ability to operate AI delivery governance, including stage gates, prioritization scoring, funding requests, and outcome tracking.
• Ability to report adoption, productivity uplift, revenue impact, and cost-to-serve reduction metrics.
• Experience with model lifecycle governance, including validation, monitoring, retraining, and decommissioning, in partnership with Risk and Compliance.
• Ability to build an AI Transformation organization with a mix of strategists, architects, engineers, and change leaders.
• Ability to identify and recruit senior technical leaders and applied AI engineers.
• Ability to lead programs that improve AI literacy and fluency across business and technology teams.
• The posting describes technology development, systems architecture, applications, data infrastructure, machine learning algorithms and infrastructure, and software implementation responsibilities.

Responsibilities

• Serve as the senior delivery and transformation leader for enterprise AI, translating strategy into scaled, adopted outcomes.
• Partner with the department head to shape the AI strategy and roadmap, contributing the delivery and adoption perspective to strategic decisions.
• Lead the AI Transformation Team, including AI Strategists, Change Experience Managers, Digital Owners, and Business Architects.
• Direct AI Delivery Pods that include Technical Project Managers, Data Engineers, Solution Integration Engineers, Data Scientists, and Domain Representatives.
• Own the enterprise AI delivery roadmap and ensure each initiative has a timeline, resource plan, owner, and measurable outcome tied to business priorities.
• Manage and prioritize the AI backlog across business partners based on impact, feasibility, and organizational readiness.
• Maintain visibility into the AI delivery pipeline and provide stakeholders across business functions and the Innovation Council with information on progress, sequencing, and timelines.
• Track transformation outcomes and report business value, adoption, and change readiness to the AI Steering Committee and ELT.
• Maintain operational ownership of deployed AI solutions through accountability frameworks for performance monitoring, model governance, and continuous improvement.
• Build, lead, and scale the AI Transformation organization, including recruiting senior technical leaders and applied AI engineers in partnership with Ashish.
• Improve AI literacy and fluency across D2E2 and partner functions.
• Run integrated AI Delivery Pods from concept through pilot, scale, and steady-state operations.
• Apply a product-led delivery model with defined release cadences, MLOps standards, and post-launch support.
• Move AI solutions from proof of value to enterprise-scale production with predictable cost and quality.
• Direct AI Strategists in converting enterprise priorities into sequenced AI use cases with clear value cases.
• Direct Change Experience Managers and Digital Owners in embedding adoption, training, and process redesign into every rollout.
• Direct Business Architects in anchoring AI initiatives in capability, process, and data blueprints.
• Operate AI delivery governance, including stage gates, prioritization scoring, funding requests, and outcome tracking.
• Report adoption, productivity uplift, revenue impact, and cost-to-serve reduction KPIs by use case and function.
• Own model lifecycle governance in partnership with Risk and Compliance, covering validation, monitoring, retraining, and decommissioning.
• Lead enablement programs to raise AI literacy and fluency across D2E2 and business partners.
• Review system requirements and business processes; code, test, debug, and implement software solutions.
• Provide management recommendations on information systems and technology strategy, including information technology cost-benefit analysis, and interface with business, information systems, and technology managers on planning and implementation.
• Perform other duties as deemed appropriate by the manager.

Benefits

• Flexible paid time off
• Hybrid work schedule
• 401(k) matching of 100% up to the first 6%, with a discretionary supplemental contribution
• Health and wellbeing benefits
• Parental leave benefits
• Employee stock purchase plan
• Salary and incentive pay

What This Job Offers

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