SAP Technical Expert; AI & Data
Listed on 2026-06-27
-
IT/Tech
Data Engineering, Data Analyst
About the job SAP Technical Expert (AI & Data) Job Description – SAP Technical Expert (AI & Data)
Team: Enterprise Products
Domain: Core Accounting, Financial Reporting, Financial Reconciliation
Location: Remote
We are building an enterprise-grade SAP-based financial product covering Core Accounting, Financial Reporting, and Reconciliation. As part of this initiative, we are kicking off discovery work around AI-enabled capabilities within SAP
, starting with Financial Reconciliation and expanding into broader cross-enterprise use cases
.
We are looking for a hands-on SAP S/4
HANA Technical expert profile who deeply understands SAP data and finance workflows and is also comfortable working across SAP and non-SAP ecosystems
, including APIs, services, and AI tooling.
This is an exploratory and iterative role focused on designing, prototyping, testing, gathering feedback, and rapidly refining solutions. We are not looking for a narrow SAP specialist or a pure AI expert disconnected from SAP realities—the ideal candidate sits at the intersection of SAP finance, data, and innovation
.
- Design and prototype AI-enabled capabilities within SAP S/4
HANA, starting with Financial Reconciliation use cases. - Work deeply with SAP S/4
HANA data models, CDS Views, APIs, and OData services. - Explore and integrate AI and analytics capabilities across SAP and non-SAP platforms.
- Build and test proof-of-concepts, validate ideas quickly, and iterate based on feedback.
- Collaborate with enterprise product teams, finance stakeholders, and technical partners.
- Bridge SAP financial processes with external services, APIs, and AI tooling.
- Contribute to architectural decisions for scalable, enterprise-ready solutions.
- SAP S/4
HANA experience, especially: CDS Views, APIs / OData services - Solid understanding of SAP Finance domains
, such as Core Accounting - Experience integrating SAP with non-SAP systems using APIs and services.
- Ability to design, prototype, test, and iterate quickly.
- Strong analytical and problem-solving mindset.
- Exposure to AI / ML use cases in enterprise or financial systems.
- Experience with SAP BTP, analytics, or AI-related services.
- Familiarity with cloud-native architectures and modern data platforms.
- Background in enterprise-scale financial or accounting systems.
- A practitioner who understands how SAP really works, not just theoretically.
- Someone who can move fast, experiment, and learn by doing.
- A profile that connects SAP finance workflows, data, and emerging AI capabilities in a practical way.
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