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.