The Project Manager will oversee projects, managing client relationships, acting as Scrum Master, and mentoring team members to deliver quality solutions.

Support end-to-end service delivery operations including project setup, staffing coordination, forecasting, reporting, and time-tracking oversight. Partner with leaders to improve processes, maintain utilization and capacity reports, and provide data-driven insights to mitigate staffing risks and inform hiring.

The Director of Cloud Native Applications will lead a team, oversee project delivery, and shape the technical vision for AI-enabled software solutions on AWS, ensuring high-quality delivery and business growth.

Embed with strategic enterprise customers to own technical strategy and delivery on AWS. Advise C-suite, lead discovery and architecture sessions, bridge sales and delivery, win complex pursuits, drive program success, and grow accounts through technical leadership and collaboration with AWS field teams.

The Senior Project Manager will oversee cloud project execution, leading teams, managing risks, and ensuring successful project delivery to client expectations.

The Senior Cloud Architect leads client engagements, designs scalable AWS architectures, builds observability solutions, and manages cross-functional teams for cloud implementations.

The Customer Experience Manager will drive customer satisfaction through data collection and analysis, develop insights, and present actionable recommendations to improve experiences.

The Principal Data Strategist drives data strategy and governance for enterprise clients, ensuring alignment with business outcomes and managing data transformation initiatives.

The Data Architect will design data architecture and ML systems, guide teams in Agile processes, manage multi-database migrations, and ensure technical viability for AWS solutions.

Lead design and implementation of complex cloud-based data solutions on AWS. Define strategic roadmaps, advise pre-sales, interview and mentor architects/engineers, and oversee data standards, governance, and operational practices.