Associate Manager – SAP Data & AI

• Contribute to shaping and delivering solutions within the SAP AI & Data agenda, working closely with architects and managers on SAP transformation programs.
• Design and implement SAP data & analytics solutions, with a strong focus on SAP Business Data Cloud (BDC) and SAP-native data products.
• Build and evolve enterprise data warehousing solutions in the SAP ecosystem, including data products, semantic models and analytics consumption using BDC and SAP Analytics Cloud (SAC).
• Support and execute PoCs and pilots, helping validate target architectures and new capabilities.
• Translate business requirements into well-designed SAP data solutions, under guidance of senior architects.
• Collaborate with cloud and data platform teams to deliver hybrid architectures, combining SAP BDC with hyperscaler data platforms and ecosystems (e.g. Databricks or Snowflake running on GCP, Azure or AWS).
• Gradually take ownership of solution components and workstreams, growing towards a broader architectural role.

Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office - depending on specific project circumstances.

• Permanent employment contract.
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).
• Employee Assistance Program - legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care, life insurance.
• Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card).
• Access to SAP Learning Hub.
• SAP Certification.

• Strong, hands-on experience with SAP Datasphere, including:
• data modeling and semantic layer definition
• building SAP-centric data warehousing solutions
• integration of SAP and non-SAP data sources
• Hands-on experience with SAP Analytics Cloud (SAC) for analytics and reporting.
• Good understanding of SAP Business Data Cloud (BDC) concepts and how BDC builds on existing Datasphere capabilities.
• Experience with data integration and replication from SAP to hyperscaler data platforms and ecosystems, supporting hybrid SAP + cloud architectures.
• Solid understanding of SAP data and analytics fundamentals (BW concepts, SAP-native analytics, SAP BTP basics).
• Experience working in SAP delivery projects, ideally in an S/4HANA-related context.
• Strong willingness to learn, grow and take on increasing responsibility, especially in AI-enabled and modern data scenarios.

BONUS POINTS IF YOU HAVE:

• Exposure to SAP Business Data Cloud (BDC) implementations, pilots or internal initiatives.
• Experience working with data and analytics platforms from other vendors, such as Databricks or Snowflake running on hyperscalers (GCP, Azure or AWS).
• Initial exposure to AI / ML or generative AI use cases in a data or SAP-related context.
• Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.