Infosys

Learning and Development

• Lead sales pursuits and business development activities for complex learning transformation opportunities.
• Shape client solutions, proposals, and commercial models that address workforce transformation challenges.
• Build trusted relationships with senior Learning, Talent, HR, and Business stakeholders.
• Collaborate across Infosys Consulting, Infosys Ltd, and BPM teams to position learning within broader business and technology transformation programmes.
• Contribute to market visibility through thought leadership, client events, and go-to-market initiatives.
• Lead large-scale learning transformation programmes from strategy through execution.
• Act as an executive sponsor for client engagements, ensuring delivery excellence and strong client outcomes.
• Manage global, cross-functional teams and delivery partners across complex transformation environments.
• Ensure effective governance, risk management, quality assurance, and continuous improvement across client portfolios.
• Drive innovation in learning design, delivery, and managed services models.
• Advise clients on emerging trends in workforce transformation, including AI-enabled learning, skills intelligence, digital learning experiences, and Learning-as-a-Service models.
• Support the development of frameworks, methodologies, and assets that strengthen Infosys Consulting's learning transformation capabilities.
• Develop and maintain strategic partnerships across the learning technology ecosystem, including LMS, LXP, skills, and talent platforms.
• Lead, coach, and develop consulting teams to deliver high-quality outcomes.
• Create an environment that encourages innovation, collaboration, and continuous learning.
• Establish and promote best practices, delivery standards, and operational excellence across the practice.
• Support talent development through coaching, mentoring, and constructive feedback.
• Champion a culture aligned with Infosys Consulting's values of Inclusion, Leadership, Integrity, Fairness, and Excellence.

Senior Learning Transformation Consultant, German Speaking

Full-stack Engineer

• Develop, customize, and maintain STK-based applications to support mission planning, analysis, and visualization
• Integrate STK (Engine, Components, or Desktop) with external tools, models, and data sources to enable end-to-end mission workflows
• Implement backend services using Python and support frontend interfaces as needed
• Analyze and interpret simulation results, providing actionable insights to engineering teams and stakeholders
• Support traceability between mission analysis outputs and system models, ensuring consistency across the digital engineering environment
• Support deployment and execution of applications in modern environments (e.g., containerized or cloud-based)
• Contribute to documentation, user guides, and technical deliverables
• Troubleshoot and enhance existing tools to improve performance, usability, and scalability

Senior Software Engineer

Financial Planning and Analysis

• Serve as the senior client-facing advisor for SAP Finance transformation programs (greenfield, brownfield, selective/system conversion)
• Lead due diligence, value proposition, and business case discussions with client finance leadership
• Own end-to-end solution vision for large/complex SAP FICO engagements — from finance process assessment through to hypercare
• Provide oversight and quality assurance on FICO solution architecture, design, and configuration across engagements (GL, AA, AP, AR, Bank Accounting, Cost Center/Profit Center Accounting, Product Costing, COPA, Group Reporting, Central Finance, Treasury/Cash Management as applicable)
• Guide fit-to-standard workshops, ensure adherence to SAP and Industry best practices
• Review and validate high-level and detailed design documents, integration approaches and data migration strategy for financial master/transactional data
• Ensure delivery governance: risk management, quality checkpoints, and adherence to timelines/budgets across projects under the practice
• Identify and pursue new business opportunities; support proposal development, RFP responses, and client pitches
• Build, mentor, and lead a team of SAP FICO Consultants and Sr. Consultants
• Foster a high-performance culture and conduct performance reviews
• Stay current with SAP roadmap (S/4HANA Finance innovations, RISE with SAP, BTP-base

SAP Finance Consultant - Manufacturing Practice

SAP Finance Consultant – Manufacturing Practice

Human Resources

• Efficient and effective handling of daily HR administration and routine operational processes.
• Provision of support to employees and managers on HR-related queries, working closely with the HR Manager.
• Employee data and record management – ensuring accuracy and timeliness of all processing activities.
• Provision of accurate, complete and timely inputs into the monthly payroll cycle.
• Support for corporate HR initiatives, process optimisation, and proactive participation in European HR projects in collaboration with the wider HR team.
• Liaison with internal and external stakeholders.

HR Assistant

Product Manager

• Shape AI use cases — identify where machine learning, generative AI and agentic AI can solve real business problems, and equally where they cannot
• Frame business cases and value hypotheses for AI products, including success metrics for probabilistic systems and the realistic costs, risks and dependencies
• Own and prioritise the AI product backlog, translating ambiguous opportunities into well-scoped, testable increments that data science and engineering teams can deliver
• Define product vision and roadmaps for AI-enabled products, balancing experimentation with production-grade delivery
• Translate business problems into AI problems — specify data requirements, evaluation criteria, acceptance criteria and guardrails for ML and GenAI features
• Advise on Responsible AI in everyday product decisions — fairness, transparency, accountability, human oversight and proportionate risk management
• Guide AI products across the full lifecycle: ideation, data readiness, prototyping, evaluation, deployment, monitoring and continuous improvement
• Engage business stakeholders, subject matter experts and end users to validate problems, test prototypes and drive adoption
• Collaborate with distributed delivery teams, including offshore, to ensure quality and pace
• Contribute to Infosys Consulting’s thought leadership, accelerators and reusable assets for AI Product Management

AI Product Owner – Consultant

Consultant

• Collaborate with client counterparts to define long-term vision, goals, and strategies.
• Contribute to the design and development of client future processes and organizations with corresponding transformation roadmaps.
• Conduct requirements workshops with a team of global IT professional & subject matter experts, translating those requirements into actionable project initiatives w/associated metrics.
• Solution targeted processes, leveraging best practices.
• Solution and document functional specifications.
• Define, execute, and support testing of the solution.
• Perform knowledge transfer to client and supporting organizations throughout all phases of the project.
• Support management of project execution from start-to-finish to deliver according to plan (scope, quality, and time).
• Coach and develop team members to deliver quality results and promote professional development.
• Mentor and coach team members through formal, performance evaluation methods and informal, individual feedback opportunities.
• Collaborate and share knowledge.
• Contribute to practice growth through recruitment, training, and retention.
• Provide insight and thought leadership to develop innovative assets, including differentiated points of view and methodologies.
• Provide insights on new and emerging best practices across Capital Markets industry and contribute to the development of service offerings.
• Prepare thought papers and participate in industry conferences and forums.
• Build social networks that enable knowledge and information flow and stay abreast of developments in Capital markets and financial advisory expertise areas.
• Drive integration of EDM with upstream and downstream systems.
• Design and oversee data workflows across reference, market, product, and trade data domains.
• Guide implementation of data integration and processing layers (batch and real-time).
• Define and enforce data governance, stewardship, and lineage practices to ensure traceability, auditability, and compliance.
• Drive performance tuning, system testing (unit → integration → UAT → parallel), and deployment to production environments ensuring operational readiness.
• Mentor junior EDM consultants and contribute to implementation best practices, continuous improvement, and product roadmap feedback.
• Collaborate with other streams including technology delivery streams across Infosys to deliver a compelling value proposition to the client.
• Manage and minimize engagement risk by proactively identifying issues and recommended courses of remediation.
• Build client relationships towards expanding the footprint within the client organization.

Enterprise Data Management Consultant – Principal Level

Operations

• Advise clients on designing, evolving, and operating modern IT and Digital operating models in response to AI adoption, cloud transformation, cyber resilience, and complex service ecosystems.
• Lead or contribute to proposals and engagements focused on IT and AI Operating Model strategy and design, including the definition of roles, decision rights, governance, service accountability, and performance metrics.
• Focus on transitioning towards AI-enabled and agent-supported operating environments.
• Lead project teams to deliver current-state assessments, target operating model (TOM) design, and implementation of ITSM and SIAM governance, principles, and operating processes.
• Ensure effective integration into existing service delivery environments.

Digital Operations Consultant

• Provide expert advisory support to organisations seeking to optimise IT service delivery and digital operations
• Design and implement Target Operating Models (TOMs) aligned to AI, Cloud, Cyber and Service Management strategies
• Advise and guide the design and implementation of Service Integration & Management (SIAM) models in multi-vendor and delivery function environments
• Support organisations moving towards AI-enabled operations, ensuring AI governance aligns with enterprise-wide controls and risk frameworks
• Analyse current IT organisational design, operating models, and ITSM processes to identify improvement opportunities
• Develop practical, execution-ready transformation roadmaps
• Contribute to and lead the development of consulting offerings and thought leadership
• Govern and manage the execution of operating model and service management transformations
• Establish performance metrics and success measures to drive continuous improvement
• Work confidently across Agile, product-centric, and traditional SDLC delivery models
• Lead senior client conversations and articulate the value of IT and Digital Operations to the business
• Experience working with ITSM tools and platforms (e.g. ServiceNow) and advising on tool selection