AI Delivery Leader

Ascensus

. 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.

Posted 5/7/2026full-timeRemote • Arizona, Florida, Minnesota, Pennsylvania, Texas • 🇺🇸 United StatesSeniorWebsite

About the role

Key responsibilities & impact

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.
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.
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.
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.
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.
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.

Requirements

What you’ll need

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.
Strong understanding of RAG, tool/function calling (MCP/API), autonomous AI, human-in-the-loop, and prompt/config management.
Excellent verbal and written communication skills; ability to synthesize complex topics into clear executive-ready materials.
Strong leadership presence with the ability to influence without authority, lead senior stakeholder forums, and mentor/coach cross-functional team members.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

digital transformationproduct managementprogram managementAI solutionsML solutionsgenerative AI solutionsagentic AI solutionsstakeholder managementdata handlingmodel risk management

Soft Skills

communication skillsleadership presenceinfluence without authoritymentoringcoachingsynthesizing complex topicsexecutive alignmentstakeholder readinessfeedback loopscontinuous improvement

Certifications

Bachelor's DegreeMBA