Agentic AI Delivery Leader

Benefits

Additional Information

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. Section 1: Position Summary The Senior Manager, Agentic AI Delivery will be a critical leader within Ascensus' Transformation team, accountable for end-to-end delivery of an enterprise portfolio of agentic AI initiatives from opportunity discovery and value case through design, build, launch, adoption, and measured outcomes. This role partners with executive business leaders, product and engineering teams, data/AI practitioners, and risk/compliance to design and deliver reliable, secure, and scalable AI agent solutions that materially improve customer experience, associate productivity, and operational performance. The Senior Manager establishes the delivery strategy, operating model (governance, ways of working, metrics), and ensures that AI agent deployments meet quality, accuracy, and timeliness to value while achieving committed business outcomes. Section 2: Job Functions, Essential Duties and Responsibilities Agentic AI Program Management and Delivery Portfolio ownership and roadmap: Own an enterprise portfolio of agentic AI use cases; shape multi-quarter roadmaps tied to business strategy, scalability and measurable outcomes; define success metrics (value, quality, portability) and manage trade-offs across initiatives. Opportunity discovery and solution framing: Define agentic framework to conduct end-to-end discovery (diagnostics, data/system constraints, user journeys) to identify high-value agentic opportunities; translate pain points into agentic AI solutions (tools/actions, guardrails, autonomous or human-in-the-loop) and delivery plans. Value case, funding, and benefits realization: Build and defend business cases (cost, revenue, CX improvement); secure executive alignment; establish benefits measurement (baseline, attribution, measurement) and manage realization through adoption and continuous improvement. Delivery leadership (Agile / hybrid): Coordinate with cross-functional squads (product, AI engineering, data science, architecture, operations) and external partners to deliver pilots and scaled deployments; manage scope, dependencies, risks, and delivery quality; run executive steering and agentic AI program governance. Risk, compliance, and responsible AI: Partner with Responsible AI leader to implement controls for data handling, model/vendor risk, explainability, and operational resilience; ensure appropriate guardrails (policy, content filtering, escalation paths) for production agent use. Go-live, adoption, and change leadership: Lead launch planning, training, communications, and hypercare; drive stakeholder readiness and measurable adoption; establish feedback loops and a backlog for post-launch enhancements across business units. Executive stakeholder management and cross-functional leadership Serve as a trusted advisor to executives and senior leaders, translating agentic AI capabilities into practical operating model changes, investment decisions, and delivery commitments. Lead executive steering committees and governance forums; produce concise materials for C-suite audiences. Proactively manage interlocks across IT, Operations, Service, Sales, and Produc Drive vendor and platform decisions (build/buy/partner), contract scope, and performance management to ensure delivery outcomes. Essential Duties and Responsibilities Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. At Ascensus we are guided by our Core Values of People Matter, Quality First and Integrity Always®. They inspire us every day to prioritize an environment of respect for those we serve and one another and should be visible in your actions on a day-to-day. Supervision Agentic AI Delivery Principal Section 3: Experience, Skills, Knowledge Requirements Bachelor's Degree required; MBA or equivalent advanced degree preferred. 8+ years in digital transformation, product/program management, or consulting; 4+ years delivering AI/ML and generative AI solutions in production; 1+ year delivery agentic AI solutions in production Experience leading multiple concurrent workstreams and managing complex stakeholder environments. Demonstrated experience delivering agentic AI solutions (LLM-powered copilots/agents) including use-case discovery, evaluation, deployment, and post-launch iteration; strong understanding of RAG, tool/function calling (MCP/API), autonomous AI, human-in-the-loop, and prompt/config management. Program leadership: proven ability to establish governance, operating cadence, executive communications, and delivery metrics; track value realization and drive decisions across risk, scope, timeline,