Role Summary
CD&A - Associate Director, Agentic AI Solution Delivery, Neural Nexus
Responsibilities
- Complete delivery plans for assigned Agentic AI use cases, ensuring alignment with Neural Nexus priorities and achievement timelines.
- Support business and platform teams by translating commercial requirements into clear delivery objectives and working plans.
- Supply tactical input to broader program planning by identifying risks, blockers, and dependencies across assigned workstreams.
- Lead 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 launch.
- Partner with CD&A, 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, focused on progress, risks, and delivery health.
- Collaborate with platform leadership to align solution rollout timing and messaging with broader program achievements.
- Communicate implications of AI outputs, system performance, and solution scope changes to business partners with clarity and visibility.
- Coordinate training sessions, office hours, and enablement resources to ensure business users can confidently use 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 comms, 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.
Qualifications
- Basic Qualifications:
- Doctorate degree and 3 years of commercial analytics and/or operationalizing GenAI solutions experience
- OR Master’s degree and 5 years of commercial analytics and/or operationalizing GenAI solutions experience
- OR Bachelor’s degree and 7 years of commercial analytics and/or operationalizing GenAI solutions experience
- OR Associate’s degree and 12 years of commercial analytics and/or operationalizing GenAI solutions experience
- OR High school diploma / GED and 14 years of commercial analytics and/or operationalizing GenAI solutions experience
- Preferred Qualifications:
- Bachelor’s degree and 7+ years of experience in commercial analytics and/or operationalizing GenAI solutions
- In depth experience working directly with Commercial or CD&A/Analytics teams
- Strong background of delivering complex AI/ML delivery initiatives—especially GenAI agents or copilots that automate tasks or drive decision workflows
- Strong Technical Proficiency (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
- 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
Skills
- GenAI, AI/ML delivery, agent architectures
- Project management, agile development, stakeholder management
- Cross-functional collaboration, change management, training and enablement
- Data interpretation, requirement translation, delivery planning
Education
- Doctorate or Master’s or Bachelor’s degree as specified in Basic Qualifications
Additional Requirements
- On-site presence in Thousand Oaks, CA 2-3 days a week
- Willingness to work in a fast-paced, cross-functional environment