About this role
Job title: Senior IT Product & Delivery Manager
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.
What You'll Do
- 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.
- 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.
- Partner 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 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 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 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 — capable of turning strategy into actionable plans and delivering outcomes through cross-functional teams.
Nice to Have
- Experience with SAP BTP, SAP Build, or SAP Extension Suite for custom AI development.
- Familiarity with RAG, agentic AI frameworks, and timely engineering in enterprise data contexts.
- Knowledge of AI governance, GDPR/CCPA compliance for finance data, and responsible AI principles.
- Hands-on exposure to multiple AI/ML toolchains: Azure OpenAI, Vertex AI, SageMaker, or SAP AI Core.
- SAP S/4HANA Finance certification.
Compensation & Benefits Salary range not disclosed. Benefits not specified.