Top Tech Jobs & Startup Jobs

Responsible for a project module, conducting client interviews, analyzing data, preparing presentations, and presenting results to the project manager.

Support and lead client projects on product cost optimization, collaborating with teams to implement engineering strategies and improve cost efficiency.

The Reward & People Analytics Expert develops reward strategies and people analytics frameworks to enhance organizational performance and employee engagement. Responsibilities include designing compensation structures, managing annual reviews, analyzing workforce trends, and ensuring compliance with labor laws.

Manage cross-functional projects in consulting, overseeing profit, leading teams, optimizing costs, and enhancing engineering processes.

As a Cloud DevOps Engineer, you will standardize Azure architectures, develop cloud applications, implement cloud-native use cases, and conduct knowledge transfer sessions across teams.

The role involves project management, research, interviews, and market analysis, with responsibilities differing between Consultant and Senior Consultant positions.

The Consulting Intern will perform research, analyze business problems, support project deliverables, and prepare presentations while collaborating with project teams.

Lead a competence center's business development and client relationships, design methodologies and strategies, oversee delivery of consulting mandates, mentor and grow teams, and shape firm offerings and account development to create sustainable client value and firm growth.

Manage and coordinate operational global mobility cases and documentation; support visa, work permit and relocation processes with external vendors; research country-specific immigration, tax, social security and labor requirements; maintain compliance trackers and records; handle escalations and follow-ups; and contribute to process improvements, templates and internal guidance.

Lead and run the enterprise AI orchestration platform: own roadmap and budget, manage AI product delivery and vendors, ensure governance and compliance (EU AI Act, GDPR), drive adoption and change management, and provide technical architecture oversight for LLM integrations and agent frameworks.