AI Delivery Manager

Section 1: Position Summary 

The AI Delivery Manager will be a critical member of Ascensus’ Transformation team and be responsible for the delivery of high-impact AI projects and use cases at Ascensus. The AI Delivery Manager will work closely with the Ascensus Head of Transformation, AI Strategy & Enablement Leader, IT leaders and scrum teams, and be supported by an AI Delivery Principal. 

Section 2: Job Functions, Essential Duties and Responsibilities 

AI Program Management and Delivery 

• End-to-end business diagnostics: Analyze and baseline business drivers, outline workflows and technology architecture, collect and analyze issues/data, shadow business team members, analyze process outputs, size opportunities for AI enhancement, summarize business diagnostics and AI enhancement opportunities for executive review 

• Current and future state processes: Lead documentation of current state L2/L3 processes, identify inefficiencies for enhancement, manage redesign of new AI-enabled processes, lead AI use case workshops with business stakeholders, lead the documentation of requirements and partner with IT and product owners to ensure translation of requirements for AI delivery teams  

• Business case build and value tracking: Collect baseline data, build and manage AI-enabled business case tied to KPIs, work drivers, efficiency unlock, etc. Perform sensitivity analysis against outcomes and define/implement approach for measuring long-term value. 

• Tech and transformation PMO: Build and manage delivery workplan, assigning owners/responsibilities, consult on output quality and functionality, build weekly update materials, support development of steerco/board materials, etc. 

• Solution testing and demo: QC of outputs against business workflows, reassessment of build work plan, plan and facilitate pilot testing and delivery 

• Training: Develop training materials, and conduct train-the-trainer sessions, for assigned AI use case 

• Project go-live and hypercare: Partner with IT and business leads to plan and execute project go-lives, stabilization, and hypercare with focus on business support and associate training/adoption. Coordinate with IT and business to define plans for long-term operation, maintenance, and ongoing functional enhancement of AI use cases. 

• Change management and comms: Partner with business and transformation teams to outline change framework and owners across As