AI Product Readiness Program Manager - VP

- Own end-to-end readiness and delivery coordination for AI-related initiatives from planning through production deployment. - Partner with Product Managers, Engineering teams, and Architects to manage the delivery of AI-powered capabilities, including GenAI, Copilot, agentic workflow, and intelligent automation solutions. - Coordinate release planning, deployment activities, and go-live readiness across multiple products and platforms. - Drive cross-program dependency management and roadmap alignment across CRIMS, NextGen (NG), ADP, and related strategic initiatives. - Establish and maintain AI program governance, including status reporting, executive communications, risk tracking, and issue escalation. - Lead capacity planning, release planning, and prioritization activities to support AI strategic objectives. - Ensure readiness activities are fully integrated into the Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC). - Coordinate solution scoping, execution planning, testing readiness, deployment readiness, and post-launch support activities. - Partner with Release Management and Operations teams to ensure operational, support, training, compliance, and deployment readiness requirements are met. - Drive Jira adoption, dependency tracking, milestone management, and execution transparency across teams. - Facilitate governance meetings, program reviews, and cross-functional working sessions. - Build and maintain program dashboards, reporting, Confluence documentation, and executive-level status communications. - Identify, assess, and proactively manage delivery risks, resource constraints, and cross-team dependencies. - Work directly with Agile and Scrum teams to align delivery schedules, release commitments, and business priorities.

- Bachelor's degree or equivalent experience. - 10+ years of experience in Product Management, Program Management, Product Readiness, Delivery Management, or related leadership roles. - Strong experience leading complex, cross-functional technology initiatives in enterprise software or financial services environments. - Demonstrated ability to drive execution across matrixed organizations and multiple stakeholder groups. - Expertise in program governance, risk management, dependency management, and executive communications. - Strong knowledge of Agile development methodologies, Jira, Confluence, and software delivery practices. - Excellent communication, facilitation, and stakeholder management skills.

- 3+ years of experience working with AI/ML, GenAI, Copilot, intelligent automation, or data-driven product capabilities from concept through production deployment. - Strong understanding of modern AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, model evaluation, AI governance, and Responsible AI principles. - Experience partnering with Engineering, Architecture, UX, Data Science, Compliance, Security, and Go-to-Market teams to deliver enterprise AI solutions. - Financial services and investment management domain expertise, including areas such as portfolio management, trading, investment operations, reconciliations, corporate actions, performance measurement and attribution, derivatives, bank loans, or collateral management. - Experience leading large-scale platform, transformation, or modernization initiatives. - Lean Six Sigma, PMP, Agile, or related program management certifications preferred.