Full-Time Manager, Corp Core AI Product

• Team Leadership & Development
  • Lead, mentor, and develop a high-performing team of AI product managers and product owners supporting Finance, S2P, and HR business functions.
  • Foster a collaborative environment that encourages continuous learning and innovation in generative AI, automation, machine learning, LLM safety, prompt engineering, and enterprise data literacy.
  • Mentor the team on product strategy, stakeholder management, and iterative delivery.
  • Develop and coach team members, supporting their professional growth and skill advancement.
  • Stay current on emerging AI capabilities, GenAI Platforms (e.g., SAP Business AI, Harvey AI, Azure OpenAI, Google Vertex AI, etc.)
  • Champion a culture of new ideas and drive experimentation with prototypes, pilots, and proofs of concept.
• AI Product Strategy & Roadmap
  • Shape and execute the AI product strategy for core corporate functions.
  • Define and maintain the product roadmap, aligning with business objectives and operational requirements.
  • Oversee the intake, assessment, prioritization, and roadmap planning of AI use cases across Finance, Source to Pay, and HR.
  • Ensure alignment of AI initiatives with enterprise strategy and corporate transformation objectives.
  • Partner with business leaders to define problem statements, success metrics, ROI expectations, and long-term product vision.
  • Evangelize AI enablement across corporate functions through demos, training, internal showcases, and value storytelling.
• AI Solution Delivery
  • Ensure the delivery of scalable, reliable, and impactful AI solutions.
  • Guide the team through the end-to-end lifecycle of AI products and capabilities-from discovery and validation through design, development, testing, rollout, operational support, and KPIs.
  • Remove roadblocks, allocate resources, and ensure execution quality across multiple business portfolios.
  • Track delivery milestones, manage risks, and ensure adherence to responsible AI principles and regulatory guardrails.
  • Drive cross-functional alignment with engineering, platform teams, cyber, legal, privacy and change management.
  • Establish best practices for AI product development, including model evaluation, prompt management, data quality and post-launch monitoring.
• Business Partnership
  • Partner with business leaders to identify and translate operational needs into AI opportunities.
  • Serve as a subject matter expert, guiding stakeholders on AI capabilities and best practices.

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