Technical Architect - SAP Analytics & AI

Job Summary: As an SAP Analytics & AI Architect, will be responsible for providing solutions and executing in SAP BW (BWonHANA & BW/4HANA), SAP HANA Cloud, SAP Datasphere, SAP Analytics Cloud, SAP AI Core (with Gen AI hub)

Key Responsibilities:

Collaborate with business and IT to understand the business requirements

Specify security requirements and approaches to data & AI for adherence.

Define and promote best practice methodologies.

Ensure solutions are aligned with the major stakeholders for KPI standards and roadmap.

Experience in writing requirements documents, functional/technical specifications and any other documentation that might be required as part of project.

Coordinate with business users and other IT team/departments to design and develop complex requirements.

Implement/use guidelines - project, process and architecture.

Maintain a clear understanding of the potential impacts of proposed solutions on the other areas of the system and/or project.

Innovation mindset

Using automation techniques and reducing the overall time of the project

Experience in implementing full project life cycle

Driving the team and coming up with architectural solutions

Qualifications
Graduate/Post-Graduate.
Overall, 10-12 years experience in SAP BW/HANA, SAC, datasphere
10-12 years experience in SAP Analytics & AI with hands on experience in SAP BW4HANA, SAC, datasphere, BPA (preferrable), SAP AI(Preferable).
Handled global customers with direct client interactions
TOGAF certification & relevant SAP certifications: Preferable

Experience: Overall, 10-12 years of experience in implementation of SAP Analytics and AI (Should have 4 years experience in SAP BW/4HANA, SAP Analytics Cloud (with Planning), 3 - SAP Datasphere, Minimum 1 year experience in SAP AI)

Additional Considerations SAP AI: Implementing SAP AI Core and SAP AI Launchpad Exposing APIs from AI core for consumption in external systems (SAP or non-SAP) Production level deployment experience Knowledge on FastAPI Ability to design & implement machine learning pipelines Utilizing Github for CI/CD Implementation of pipelines using Docker Integrating SAP AI core to other SAP ecosystem

SAP Datasphere:

Ability to design & implement complex dataflows.

Writing transformations using python scripts

Ability to design & implement complex dataflows.

Creating views and exposing for consumption to SAP Analytics Cloud

Architecting Spaces in Datasphere

Utilizing Open SQL schema

Consuming HDI containers in Datasphere

Exposing Datasphere model to AI algorithms

Exposing Datasphere model to third party tools

SAP BW/HANA:

Work experience in all three phases - BW Reporting, Extraction and Modeling with at least 2 end to end implementations.

Experience in working with ADSOs (all types), composite providers, BeX query and Analysis for office.

Should have very strong experience in ABAP skills like Start, End, Expert, Field level Routines, custom built Extractors & Debugging skills where required.

Experience in working with HANA views, AMDP procedures, ABAP-OOPs, and hybrid architecture.

Integrating both SAP and non-SAP source systems

Knowledge of connectors like SDA/SDI

Exposing models or queries as Odata for external consumption

Consuming external APIs into BW models

SAP Analytics Cloud:

Hands-on experience on SAC (including Planning), designing/implementing data models.

Good Understanding of SAP data structures, forecasting and analytical applications.

Excellent CSS Scripting abilities. Ability to exhibit and follow standard coding and naming conventions and a top- down approach.

Strong hands-on experience on SAC connectivity, integration with SAP cloud connector, Authorization concept (Users, roles, team) and governance

Knowledge on SAC predictive capabilities, Augmented analyticsBy joining our team as a Technical Architect for our SAP Analytics & AI portfolio, you will have the opportunity to contribute to the development of cutting-edge technology and shape the future of SAP portfolio.