Artificial Intelligence Transformation Lead - Business Intelligence

Lead and drive the AI project portfolio within the project period, managing multiple concurrent initiatives across CX, Marketing, Operations, and Risk functions with clear milestones and owners. Establish and enforce disciplined PM practices, including project plans, RAID logs, dependency maps, status cadences, sprint reviews, and launch checklists.

Monitor timelines and progress ruthlessly to identify slippage early, escalate blockers promptly, and re-baseline project scope using data-driven insights. Build leadership-ready steering decks, status reports, and executive updates that distill complex program details into concise, actionable takeaways for Director+ audiences.

Coordinate cross-functional delivery by aligning Data Science, Engineering, Product, Security, and business owners toward unified milestone dates. Evaluate technical trade-offs using technical fluency to challenge estimates, flag feasibility risks, and validate scope with engineering teams. Drive end-to-end adoption after launch by designing pilots, rollout plans, and usage tracking frameworks to ensure successful user adoption within the target business units.

Minimum 5 years up to 8 years of experience in PMO, technical program management, consulting, or delivery leadership, preferably within data, AI, or platform environments. Proven track record of successfully managing multiple complex, high-priority projects concurrently with tight timelines and cross-functional dependencies.

Strong foundational expertise in project management disciplines including planning, milestone tracking, risk management, and stakeholder governance. High technical fluency with the ability to review architectural diagrams, understand API specifications, and debate technical scope and estimates with engineering teams. Hands-on experience with deck-building and executive communications, capable of synthesizing complex status into clear, high-impact stories.

Prior background in consulting (top-tier or boutique), technical engineering/analytics, or exposure to LLM/AI projects (RAG, agents, chatbots) and e-commerce/marketplace environments is highly preferred. Strong bias for action with a proactive approach to chasing task owners, closing operational loops, and driving execution independently.

Exceptional structured thinking and executive presence with the ability to context-switch rapidly across strategic and tactical domains. Excellent stakeholder management and cross-functional collaboration skills across technical and non-technical business leaders.