Senior Manager, Agentic AI Business Solutions

Responsibilities

• Execute delivery plans for assigned Agentic AI use cases, ensuring alignment with Neural Nexus priorities and milestone timelines.
• Support business and platform teams by translating commercial requirements into clear delivery objectives and working plans.
• Contribute tactical input to broader program planning by identifying risks, blockers, and dependencies across assigned workstreams.
• Own the end-to-end execution of designated Agentic AI solutions, from intake through deployment, ensuring each phase (design, development, testing, and rollout) is completed to specification.
• Drive agile development cycles in collaboration with AI/ML and Engineering teams to ensure models and agents meet business needs and reliability standards.
• Coordinate internal readiness activities, including UAT, access setup, system integration, and documentation to support solution go-live.
• Partner with GCCI, Commercial Insights, and AI&D to ensure that Agentic AI use cases are correctly scoped, validated, and configured for maximum impact.
• Serve as a key tactical liaison between technical delivery teams and business users, ensuring clear handoffs, documentation, and timelines are maintained.
• Work cross-functionally to troubleshoot blockers and maintain delivery velocity across teams and workstreams.
• Provide status updates and delivery dashboards for assigned Agentic AI initiatives, focusing on progress, risks, and delivery health.
• Collaborate with platform leadership to align solution rollout timing and messaging with broader program milestones.
• Communicate implications of AI outputs, system performance, and solution scope changes to business stakeholders with clarity and transparency.
• Coordinate training sessions, office hours, and enablement resources to ensure business users can confidently utilize the deployed Agentic AI solutions.
• Partner with change enablement and analytics teams to track adoption metrics and gather user feedback post-deployment.
• Identify usage trends and value realization metrics to help measure the impact of Agentic AI capabilities on operational efficiency or insight quality.
• Support change management by ensuring that solution delivery includes all necessary communications, onboarding, and process readiness steps.
• Facilitate feedback loops to identify areas for enhancement or retraining based on user interaction and system outputs.
• Help maintain and iterate on delivery processes and documentation to ensure consistency, quality, and sustainability of deployed Agentic AI solutions.

Requirements

• Doctorate degree and 2 years of commercial analytics and/or operationalizing GenAI solutions experience
• OR
• Masters degree and 4 years of commercial analytics and/or operationalizing GenAI solutions experience
• OR
• Bachelors degree and 6 years of commercial analytics and/or operationalizing GenAI solutions experience
• OR
• Associates degree and 10 years of commercial analytics and/or operationalizing GenAI solutions experience
• OR
• High school diploma / GED and 12 years of commercial analytics and/or operationalizing GenAI solutions experience

Preferred Qualifications

• Bachelors degree and 6+ years of experience in commercial analytics and/or operationalizing GenAI solutions.
• Strong track record of executing complex AI/ML delivery initiatives especially GenAI agents or copilots that automate tasks or drive decision workflows.
• Strong Technical Aptitude (AI/ML): Solid conceptual and practical understanding of Generative AI, agent architectures, development lifecycle, and technical delivery principles.
• Ability to coordinate across technical and business teams, translate complex requirements, and keep delivery on track under shifting priorities.
• Hands-on experience supporting commercial or field teams, ideally within a regulated enterprise setting.
• Proven ability to deploy, train, and support business teams on new digital tools or platforms.
• Comfortable operating in high-ambiguity, fast-paced, and cross-functional delivery environments.