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Lead and manage client data and digital strategy projects end-to-end: plan and run projects, produce C-level deliverables, coach and evaluate teams, perform advanced data analysis, define client needs, pitch solutions, and develop business proposals to grow accounts.

Support senior consultants on client projects to define needs, conduct interviews, build and present strategic data recommendations, run workshops/training, propose new services, and contribute to content and research.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.

Lead design and implementation of scalable, reliable software systems for GenAI/LLM projects. Deploy and optimize applications using Docker, Kubernetes, Terraform, and cloud platforms. Manage multidisciplinary teams and client engagements, establish engineering best practices, and integrate emerging technologies to ensure high-quality, performant AI-powered systems.

As a Data Engineer, you will build data pipelines and scalable architectures for Generative AI, collaborating with ML Engineers and implementing best practices.

As a Senior Consultant in Data & AI Strategy, you will advise clients on data-driven strategies, analyze data, manage projects, and develop AI solutions.

The role involves designing, deploying machine learning models, collaborating with teams, ensuring data quality, monitoring model performance, and mentoring junior staff.

As a Senior Consultant, you'll develop strategies, solve complex problems, deliver projects, engage clients, and contribute to business growth through data and AI expertise.

Work with cross-functional teams to design, build, and deploy end-to-end data solutions. Own conception and implementation of data infrastructure, pipelines, ML model integration, REST APIs, and CI/CD. Collaborate, train, and present findings; stay current on cloud and big-data technologies.

Seeking a skilled Data Engineer with Apache Airflow experience to design, build, and maintain scalable data pipelines, optimize ETL processes, and provide technical leadership while collaborating with cross-functional teams.