Principal AI Leader

Position Overview As the Principal AI Strategy Leader , you will spearhead the strategic and methodological transformation of JD Power’s Product, Technology, and Analytics (PT&A) organization. This high-impact leadership role is designed to transition traditional product development into an Agentic Product Development Methodology . You will bridge the gap between high-level business objectives—directly impacting EBITDA targets—and technical execution. You will act as the core advisor guiding both technical and non-technical Product Managers, engineering teams, and data scientists through the adoption, integration, and scaling of advanced generative AI and autonomous agentic workflows. Key Responsibilities AI Strategy: Translate corporate growth goals into concrete initiatives, establishing clear business and technical KPIs to measure success across all portfolios. Methodological Framework Design: Blueprint and execute the transition from traditional product development to an advanced Agentic Product Development Methodology across 5 core teams. Baseline & Data Readiness: Architect and execute data readiness initiatives to define baselines, leveraging consumer insights, analytics, and benchmarking platforms. Tool Audit & Integration: Audit current early-adopter tool usage, manage enterprise AI agreements, and establish standard prototyping and usability testing platform integration. Infrastructure Optimization: Partner with engineering leaders to optimize cloud setups and manage dedicated compute/GPU resource allocations for localized model training. Enablement & Change Management: Drive tool adoption by upskilling non-technical PMs and engineers, turning abstract capabilities into practical, day-to-day development workflows. Professional Experience 10+ years of experience leading digital or product transformations, with at least 3+ years specifically focused on Enterprise AI strategy, LLM implementations, or Agentic workflow design. Technical Literacy: Strong conceptual and practical understanding of generative AI tech stacks, vector databases, model fine-tuning processes, and cloud infrastructure constraints (AWS/Azure/GCP and GPU resource management). Product Expertise: Proven track record in product management or technical architecture within data-dense, benchmarking, or consumer insights industries. Business Acumen: Demonstrated success aligning technical implementations with hard financial metrics (EBITDA, ROI, and cost-efficiency KPIs). Communication: Elite interpersonal and advisory skills; ability to easily communicate technical AI architectures to executive stakeholders and non-technical product teams alike. Why Join Us Engage in high-impact AI modernization efforts across diverse industrial landscapes. Bridge functional gaps by partnering with strategy, product, data, and engineering stakeholders. Define the standards for ethical, responsible, and effective enterprise AI implementation. Acquire premier experience at the critical intersection of applied technology and business strategy. #J-18808-Ljbffr Stralynn Consulting Services, Inc.