Senior Product Manager, Chief Accounting Office

Adobe Adobe · Enterprise · San Jose, CA +1

Senior Product Manager for Adobe's SAP S/4HANA Core Finance platform, focusing on embedding AI/ML capabilities for intelligent automation, predictive analytics, and agentic workflows. The role involves owning the product lifecycle for finance modules, driving AI integration strategy, and leading the delivery of AI-powered features like automated coding, natural language querying, and anomaly detection. Requires collaboration with data scientists, engineering teams, and finance stakeholders, with a strong emphasis on SAP S/4HANA expertise and applying generative AI and LLMs within an enterprise finance context.

What you'd actually do

  1. Serve as the primary product owner for S/4HANA Finance components including the General Ledger (Universal Journal), Payables and Receivables, FICA with Contract Accounts and Collections/Dispute Management, Treasury & Cash Management, Revenue Recognition, Revenue Accounting, Fixed Assets, and Cost Center/Profit Center Accounting.
  2. Write detailed product requirements, AI model cards, functional specs, and user stories consumed by engineering and design teams.
  3. Own and evolve the multi-year product roadmap for S/4HANA’s central finance module, prioritizing AI-first capabilities alongside foundational ERP improvements.
  4. 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.
  5. 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.

Skills

Required

  • 8+ years of experience in enterprise finance IT
  • 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.

Nice to have

  • 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.

What the JD emphasized

  • AI-intensive leadership role
  • deep hands-on expertise in SAP S/4HANA
  • apply the latest advances in generative AI, agentic workflows, and large language models (LLMs)
  • Proven product management or IT delivery leadership track record
  • Demonstrable experience delivering AI/ML-powered features within ERP or finance platforms

Other signals

  • embedding AI and machine learning capabilities
  • intelligent automation, predictive analytics, and self-healing finance workflows
  • apply the latest advances in generative AI, agentic workflows, and large language models (LLMs)
  • AI-first capabilities
  • generative AI copilots, intelligent document processing, anomaly detection, and predictive close
  • embed SAP Business AI, Joule, and third-party LLMs
  • 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
  • Define responsible AI guardrails, bias mitigation frameworks, and explainable standards for all AI models embedded in finance workflows