Practice Manager, Data Science, AI & ML

• Be the lead technical liaison between customers and engineering resources
• Provide tactical scope and work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed
• Lead teams of both business and technical colleagues throughout the course of the project, and communicate with each of them effectively
• Ensure that all the appropriate questions are asked and verify that nothing crucial to the success of the project is overlooked
• Be an AI and ML evangelist by educating a variety of customers on the value of data science and AI Solutions
• Help customers transition to the cloud in a high-value migration approach that leverages best-of-breed designs and practices delivered in an agile model
• You will play an active role in delivering modern AI and ML solutions for clients, including generative AI, cognitive computing, and cloud services
• Establish credibility and build impactful relationships with our customers to enable them to be cloud and Data science and AI advocates
• Lead and participate in deep solutions and architectural discussions to build confidence and ensure customer success when building platforms and services on the AWS platform
• Conduct deep-dive “hands-on” education/training sessions to transfer knowledge to customers interested in AWS and to ensure our Rackers are up to date
• Attend and present valuable information at Industry Events
• Collaborate in setting up Go to Market strategies for Data science and AI
• Traveling up to 50% of the time
• Hold regular 1:1 meetings with direct members of your team to share feedback, provide an avenue for trusted communications, and help with their career development
• Foster an aspirational working culture within team
• Own practice Growth & Productivity
• Provide coaching for team members and help establish and track goals
• Act as a communication conduit to provide information to the practice membership
• Create sources of feedback for practice members to promote consistent quality of delivery and support the professional development of practice members
• Work with presales architects on designing and validating proposals and SOWs to ensure high-quality and deliverable engagements to drive successful outcomes for customers
• Support tasks related to hiring including interviewing, supporting provisioning and evaluation of technical assignments, and onboarding new Rackers
• Understand metrics of how the practice is performing and support initiatives to improve our operations and effectiveness
• Identify and drive internal initiatives for the practice related to offer development, improving operations, improving our standard operating process, development of reusable delivery artifacts, and promoting knowledge within the organization

• 12+ years of experience in customer-facing software/technology, data analysis, or consulting
• Minimum 7+ years of experience architecting and building Data science and AI solutions
• Minimum 6+ years of experience with AWS or other public cloud Data Science solutions
• In-depth understanding and professional experience with AWS Data Analytics and AI/ML Services
• Demonstrated knowledge of software development tools and methodologies
• Solid understanding of agile methodologies
• Master or Ph.D. in Computers and/or Data Science
• AWS, Azure or GCP Certified ML Certified Specialist

Incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP)