Senior Product Manager, Chief Accounting Office

Adobe•San Jose, CA

About The Position

Adobe is seeking a Senior IT Product & Delivery Manager to lead the strategy, delivery, and continuous evolution of our SAP S/4HANA Core Finance platform. This is a high-impact, AI-intensive leadership role at the intersection of enterprise finance technology and innovative artificial intelligence. You will drive the end-to-end product lifecycle for General Ledger, Accounts Payable/Receivable, FICA, Treasury, and adjacent finance systems—while embedding AI and machine learning capabilities to transform how Adobe's finance organization operates. You will collaborate with partners from the finance sector, data scientists, engineering teams, and C-suite customers to deliver intelligent automation, predictive analytics, and self-healing finance workflows. This role requires deep hands-on expertise in SAP S/4HANA. It also demands an entrepreneurial approach to apply the latest advances in generative AI, agentic workflows, and large language models (LLMs) within a world-class finance ecosystem.

Requirements

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.

Nice To Haves

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.
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.

Responsibilities

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.
Drive configuration, extension build, and integration architecture decisions in collaboration with solution architects and SAP Basis teams.
Manage integration touchpoints with Kyriba, Blackline, Databricks, GEP, and custom microservices—ensuring data integrity and real-time financial visibility.
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.
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.
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.