CD&A - Associate Director, Agentic AI Solution Delivery, Neural Nexus

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‚Äîdesign, development, testing, and rollout‚Äîis 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‚Äôs degree and 5 years of commercial analytics and/or operationalizing GenAI solutions experience
  • OR Bachelor‚Äôs degree and 7 years of commercial analytics and/or operationalizing GenAI solutions experience
  • OR Associate‚Äôs 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‚Äôs 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‚Äîespecially 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‚Äôs or Bachelor‚Äôs 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