Senior Product Manager, Chief Accounting Office

* The Opportunity

Adobe is seeking a Senior IT Product & Delivery Manager to lead the strategy, delivery, and continuous evolution of our SAP S/4

HANA 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/4

HANA. 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.

What You'll Do

* S/4

HANA Product Management Ownership

* Serve as the primary product owner for S/4

HANA 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.

* • Change agent - proven track record driving organizational adoption of exciting technologies, including managing change management work streams.

* 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/4

HANA'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 Fin Tech 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/4

HANA digital platform.

* Define responsible AI guardrails, bias mitigation frameworks, and explainable standards for all AI models…