• 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.
What you need to succeed
• 8+ years of experience in enterprise finance IT, with at least 7 years of hands on SAP S/4HANA or ECC Finance implementations.
• Demonstrable experience delivering AI/ML-powered features within ERP or finance platforms (e.g., intelligent automation, NLP interfaces, predictive analytics).
• Expert-level knowledge of S/4HANA Finance modules: GL (Universal Journal), AP, AR, FICA, RAR, Treasury, Asset Accounting.
• Proven product management or IT delivery leadership track record—driving complex, multi-stakeholder programs from concept to production.
• Strong grasp of GAAP, IFRS 15, ASC 606, and subscription business financial models.
• Experience in a high-growth SaaS or technology company with subscription revenue models and solid understanding of SAP Order to Cash processes.
• Experience integrating SAP S/4HANA analytics (Databricks, SAP Analytics Cloud), procurement (Ariba or GEP or Coupa), and cloud data platforms.
Preferred Qualifications
• Experience with SAP BTP (Business Technology Platform), SAP Build, or SAP Extension Suite for custom AI development.
• Familiarity with timely engineering, RAG (Retrieval Augmented Generation), and agentic AI frameworks (e.g., LangChain, AutoGen) applied to enterprise data.
• Knowledge of AI governance frameworks, responsible AI principles, and GDPR/CCPA compliance for finance data managed by automated systems.
• Hands-on familiarity with at least one AI/ML toolchain: Azure OpenAI Service, Google’s Vertex AI platform, AWS SageMaker, SAP AI Core, or equivalent.
• SAP S/4HANA Finance certification or SAP Activate methodology training.
Leadership & Soft Skills
• Visionary communicator — able to translate AI/ML concepts and technical architecture to Senior Leadership, Controller, and Board-level audiences.
• Strategic operator — comfortable navigating ambiguity, building consensus, and accelerating decisions in a matrixed environment.
• Talent multiplier — experience mentoring finance technologists and encouraging a culture of continuous learning and AI literacy.