• Change agent — proven track record driving organizational adoption of exciting technologies, including managing change management workstreams.
• Collaborative builder — skilled at cultivating trusted relationships with finance business owners, SAP, cloud vendors, and internal engineering.
Collaborator Engagement & Delivery Leadership
• Partner closely with the Director of Global Accounting and Treasury leadership to align technology investments with finance transformation goals.
• Write detailed product requirements, AI model cards, functional specs, and user stories consumed by engineering and design teams.
• Drive agile ceremonies—sprint planning, backlog grooming, reviews—while maintaining a clear line-of-sight from AI experiments to production deployments.
• Build executive-ready arguments quantifying return on investment, time-to-value, and risk for AI-enabled initiatives.
• Coordinate a cross-functional pod of engineers, QA specialists, finance SMEs, and data engineers.
Product Strategy & Technology-Informed Roadmap
• Own and evolve the multi-year product roadmap for S/4HANA’s central finance module, prioritizing AI-first capabilities alongside foundational ERP improvements.
• Define and champion an AI integration strategy spanning generative AI copilots, intelligent document processing, anomaly detection, and predictive close.
• Find opportunities to embed SAP Business AI, Joule, and third-party LLMs (e.g., Azure OpenAI, Google Vertex AI) into core finance workflows.
• Conduct competitive analysis and stay current on SAP release cycles, AI advancements, and FinTech trends to continuously sharpen the roadmap.
AI Feature Delivery & Innovation
• Lead delivery of AI-powered capabilities including automated GL account coding and journal entry validation, intelligent AP/AR matching and dispute resolution, natural language querying of financial data via LLM-powered interfaces, predictive cash flow forecasting and working capital optimization, real-time anomaly detection and fraud prevention using ML pipelines.
• Partner with Adobe’s AI/ML engineering teams and data scientists to design model training datasets, evaluate model performance, and define feedback loops for continuous improvement.
• Collaborate with SAP and cloud hyper scalers (AWS, Azure, GCP) to leverage embedded AI services within the S/4HANA digital platform.
• Define responsible AI guardrails, bias mitigation frameworks, and explainable standards for all AI models embedded in finance workflows.