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SAP Technical Expert (AI & Data)

Role overview

Qualifications

  • Hands-on experience with SAP S/4HANA including data models, CDS Views, APIs and OData services
  • Deep knowledge of SAP Finance domains: Core Accounting, Financial Reporting, Financial Reconciliation
  • Experience integrating SAP with non-SAP systems using APIs and services; ability to design, prototype, test, and iterate quickly in discovery-driven environments
  • Strong analytical and problem-solving mindset; ability to work across SAP and non-SAP ecosystems and bridge SAP processes with external AI tooling

Responsibilities

  • Design and prototype AI-enabled capabilities within SAP S/4HANA, starting with Financial Reconciliation use cases
  • Work deeply with SAP S/4HANA 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

About the company

Inclusion Cloud logo

Inclusion Cloud

IT Services & IT Consulting

Inclusion Cloud is the leading global independent tech outsourcing services innovator, founded in 2007 with over 200 professionals from more than 15 countries. We help organizations access the best enterprise IT talent and software solutions globally. With an expanding client base including companies like Roche, GoodYear, Oracle, AES, Gilbarco and more, Inclusion Cloud is trusted by world-class brands serviced by teams across more than 20 cities and headquartered in Washington DC and Dallas (Texas), United States. Inclusion empowers organizations to engineer innovative products and solutions to quickly adapt to changing circumstances, improve their efficiency, and stay ahead in their markets.

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size201 - 500

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Job description

Job Description – SAP Technical Expert (AI & Data)

Team: Enterprise Products
Domain: Core Accounting, Financial Reporting, Financial Reconciliation
Location: Remote

Role Overview

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/4HANA 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 realitiesβ€”the ideal candidate sits at the intersection of SAP finance, data, and innovation.

Key Responsibilities

  • Design and prototype AI-enabled capabilities within SAP S/4HANA, starting with Financial Reconciliation use cases.

  • Work deeply with SAP S/4HANA 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.

Required Skills & Experience

  • Strong hands-on experience with SAP S/4HANA, especially:

    • Data models

    • CDS Views

    • APIs / OData services

  • Solid understanding of SAP Finance domains, such as:

    • Core Accounting

    • Financial Reporting

    • Financial Reconciliation

  • Experience integrating SAP with non-SAP systems using APIs and services.

  • Comfortable working in ambiguous, discovery-driven environments.

  • Ability to design, prototype, test, and iterate quickly.

  • Strong analytical and problem-solving mindset.

Nice to Have

  • 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.

What Were Looking For

  • 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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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