LITIT

• Support the creation, maintenance, and updating of business process models (BPMN 2.0) and business use cases (UML). • Document business requirements and prepare results using Confluence and Jira. • Create and maintain process documentation, overview pages, and functional profiles. • Assist in preparing workshops, recurring meetings, and stakeholder meetings, including documenting meeting outcomes and minutes. • Participate in the analysis of business processes and identify opportunities for process optimization. • Support the preparation of management presentations, decision papers, and status reports. • Conduct research on market, technology, and industry trends in the Connected Car and automotive sectors. • Assist in the development of strategy documents, roadmaps, and business cases. • Perform quality assurance on documentation and maintain project artifacts in accordance with defined modeling and documentation standards. • Support the project team in coordinating with business departments and following up on open action items.

• Design and develop frontend applications using React, Next.js, and Tailwind-based frameworks. • Implement backend services in Node.js/TypeScript for ETL, ML workflows, and risk insights. • Architect and maintain REST APIs with secure authentication (OAuth/OIDC, HMAC patterns). • Ensure security and compliance with IAM/CIAM policies, TLS/KMS encryption, and audit logging. • Implement CI/CD pipelines using Azure DevOps and GitLab Flow. • Collaborate in Agile teams, participate in Scrum ceremonies, and contribute to architectural reviews.

• Design, build, and operate AWS infrastructure using CDK (TypeScript) and OpenTofu/Terraform. • Build and improve orchestration and automation using Step Functions, Lambda, and EventBridge, with a strong focus on reliability, error handling, and resilience. • Implement and manage data access and governance using Lake Formation, Glue Data Catalog, and Athena workgroups. • Own S3 at scale, including lifecycle policies, storage optimization, and data partitioning strategies. • Support and operate Aurora PostgreSQL / RDS and Redshift from an infrastructure perspective (provisioning, performance tuning, cost awareness, and maintenance). • Build and maintain CI/CD pipelines in GitHub, including infrastructure deployments and environment promotion. • Contribute to centralized monitoring, security, and compliance practices across the platform. • Work closely with data engineers, architects, and business stakeholders, and help document and hand over solutions where needed.

• Lead the design and delivery of AI enabled cloud solutions on AWS. • Work with client Project Owners, business stakeholders, architects, and platform teams to understand requirements and define solution direction. • Translate client needs into technical requirements, user stories, implementation plans, and delivery roadmap. • Guide engineering teams working with Python, AWS Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, Bedrock, and AWS CDK. • Design cloud native backend services and integrations between internal systems and external APIs. • Define secure and scalable patterns for GenAI, LLM integrations, AI agents, and tool based architectures. • Support technical decision making across architecture, infrastructure, backend services, security, and operations. • Review designs and implementation to ensure quality, maintainability, security, and scalability. • Collaborate with product, platform, security, and delivery teams to align solution implementation with project goals. • Identify technical risks, dependencies, and delivery blockers, then help resolve them. • Contribute to hands on implementation, troubleshooting, and technical problem solving when required. • Mentor engineers and support the team in following strong engineering and cloud practices. • Prepare and lead technical workshops, solution reviews, demos, and client discussions. • Ensure secure usage of LLMs, including prompt handling, secrets management, logging practices, and prevention of sensitive data exposure.

• Design, develop, and deploy AI-powered solutions that support industrial automation, smart manufacturing, and digital transformation initiatives. • Develop and deploy GenAI applications (chatbots, copilots, RAG systems) using Azure OpenAI and LLMs. • Build and maintain AI services and APIs on Microsoft Azure. • Design scalable data pipelines for training and inference workflows. • Implement and deploy ML models for predictive analytics, anomaly detection, and automation use cases. • Containerize and deploy AI solutions using Docker and cloud services (AKS, Azure Functions). • Build and manage vector databases and retrieval systems for enterprise/industrial data. • Ensure monitoring, versioning, and lifecycle management of AI models (MLOps). • Collaborate with cross-functional teams to integrate AI into industrial and enterprise systems. • Stay updated with emerging AI/ML trends, cloud technologies, and DevSecOps advancements.

• Define system architecture, including functional and interface design, ensuring smooth integration with external systems. • Lead technical direction as Software Architect and Development Lead, including task coordination and distribution within the team. • Manage and mentor a distributed development team, ensuring productivity and technical growth. • Contribute to technical and business requirements analysis, translating needs into scalable solutions. • Develop and maintain backend services and frontend components in line with established coding standards and guidelines. • Conduct code reviews and ensure high-quality, maintainable, and secure code aligned with client expectations. • Oversee implementation guidelines and ensure consistency across the codebase. • Act as a technical advisor to the client within an Agile Scrum environment. • Participate in client workshops, Scrum ceremonies, and regular project meetings. • Support recruitment efforts, including conducting technical interviews. • Ensure system reliability, scalability, and performance across microservices architecture and cloud environments.

• Ability to lead business workshops for blueprinting activities. • Analyzing legacy data, quality check of submitted load files, testing load quality, leading user testing and acceptance of load process, providing input into specifications for automated data migration transformation rules, analysis and identification of duplicate records and other activities required for successful and on time data migration. • Perform high-level analysis of customer business processes and requirements to support project Data Migration requirements with proposed solutions. • Perform detailed analysis of customer requirements to produce custom solution specifications. • Provide directions to SAP BODS development teams for solution realization and participate, as necessary, during coding, testing, documentation, and maintenance activities. • Work closely with Data Migration team to document data migration requirements, on project planning and load scheduling, testing, troubleshooting, and issue resolution.

• Accountable for the timely readiness of Data Migration compliance aspects and components for each deployment. • Responsible for monitoring the evolution of the migration platform and components, along with planning and ensuring compliant platform and processes. • Works with the NTT DATA global Quality and Regulatory Assurance leadership to leverage best practices and develop a process that will keep this data migration-as-a-service program compliant at all times. • Drives adherence to the established Data Migration Strategy and processes, and architecture principles and technology standards. • Implements a Risk Assessment and Management process and ensures that guidelines are followed in execution. • Collaborates with all internal and external auditors, and audit coordination groups, in closely aligning Data Migration teams with respective audit planning and delivery support. • Audits deployment activities as per the Data Migration Strategy in alignment with the CSV Teams and deployments. • Represents Data Migration services in internal and external audits. • Responsible for training and preparing Data Migration teams for their involvement in, and support of, audits. • Performs audits on authorization to S/4, eWM, and SAP DS/IS with DM roles. • Ensures SAP DS/IS as a platform is following client Information Security standards and expectations.

• Develop and maintain Python-based backend services and AWS Lambda functions. • Design, build, and deploy cloud infrastructure using AWS CDK. • Implement and manage AWS services including API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, and Bedrock. • Build secure and scalable integrations between internal systems and external APIs (e.g., Jira and other enterprise tools). • Manage IAM roles, policies, and secure access patterns across services and environments. • Implement secure secret-handling and credential management practices. • Support GenAI/LLM integrations using Amazon Bedrock and related tooling. • Contribute to AI agent onboarding workflows and runtime execution frameworks (e.g., MCP/tool-based architectures). • Ensure secure usage of LLMs by preventing sensitive data exposure in prompts, logs, and shared environments. • Troubleshoot and resolve cloud infrastructure, deployment, and runtime issues. • Collaborate with platform and product teams to enable scalable internal AI and cloud capabilities.

• Build and maintain relationships with key executives, business personnel, SMEs, logistics executives and a network of professional organizations or affiliations • Be actively involved in the preparation, conception, realization and Go Live of customer S/4HANA on Premise and Cloud implementation projects • Utilize and apply best practices on projects based on experience and in consultation with experts appropriately tailored for the client and their culture • Define and estimate total effort for functional team within the area of expertise • Manage the deliverables of WM functional team to meet engagement objectives and budget • Demonstrate the ability to plan, run, and manage workshops/meetings with clients • Plan and personalize the customer journey while maintaining global scalability and consistency • Ensure in time and quality delivery, revenue consumption and profitability management • Provide a creative source of ideas/solutions to address problems • Desire to learn continuously and to grow personal skills and professional expertise • Display strong willingness to learn SAP EWM and continuously expand expertise • Close cooperation with the SAP Consulting Teams of the region, developing new ideas as well as their distribution, independent search for new opportunities