Program állás, munka

• Project management and execution of every stage of the project lifecycle
• Project planning and coordination including detailed project plans, timelines, delivery schedules, risk assessments, and mitigation strategies
• Resource management to meet project deliverables and optimize project profitability

• Implementation of complex ServiceNow solutions including system configuration and custom feature development
• Provision of advanced technical consulting and support quality assurance activities
• Ensuring adherence to implementation standards and technical best practices

• Design and build the automated review pipeline with triage, security, quality, and architecture passes
• Build and maintain deployment gates that block critical vulnerabilities across every deploy surface

• Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from product teams
• Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing

• End-to-end design for features across the assessment experience
• Research how educators and learners work with assessments
• Exploration of diverse directions for features on the unified platform
• Design for an institutional customer base with rigid adoption cycles

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Building and maintaining SQL queries and reports that track bookings, pipeline coverage, and conversion
• Monitoring CRM data quality to resolve issues at the source
• Analyzing pipeline trends and supporting the weekly forecasting review cadence with clean, accurate data

• Technical consultation and client education
• Creation of feasible delivery plans for on-time, on-budget, and high-quality project implementations
• Design and implementation of high-performing, maintainable, and secure software aligned with industry best practices

• Design and code clean, maintainable and high-performance custom-build solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Build and operate deployment pipelines for AI services
• Deploy and operate model serving, batch scoring, and orchestration pipelines
• Partner with data scientists and applied AI engineers for system design and production deployment

• Design and build learner models including knowledge tracing and longitudinal approaches
• Shape the data foundation for learner modeling including defining relevant signals and building datasets
• Translate mastery and progression definitions into model targets and evaluation criteria

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• End-to-end allocation and vendor management process ownership
• Allocation management across the project portfolio
• Handling incoming staffing requests from the sales pipeline
• Coordination with Service Lines for internal capacity or subcontractor needs

• Design and code clean, maintainable and high-performance custom-built solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality

• Owning net-new pipeline and revenue across the service lines
• Running and sharpening the outbound engine
• Managing and developing an SDR
• Refining sequences and account-based plays
• Keeping the tooling stack tuned with an external GTM partner
• Setting the bar for activity and conversion

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations to diagnose business problems, structure solutions, and build ROI cases

• Risk classification and residual risk handoff
• Severity adjudication and risk framework management
• Vulnerability management including triage and remediation driving
• Design and implementation of compensating controls
• False-positive adjudication with written justification

• Design and implement automation for storage provisioning, capacity management, and operational workflows using Python, Bash, and IaC tooling
• Drive reduction of manual toil through scripted workflows and self-service enablement

• Ownership of end-to-end data migration workstream within SAP S/4HANA implementation and conversion programmes
• Definition of migration strategy, roadmap, scope, governance model and delivery approach
• Leadership of migration activities across Explore, Build, Test, Cutover and Go-Live phases