Practice Manager, Data Science, AI & ML- US

Key Responsibilities:

• As a Practice Manager, you will be technically focused but also will understand business planning implementation
• 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

Qualifications:

• 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

“Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,300/year in our lowest geographic market up to $213,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Learn more about benefits at Rackspace.”

Information on benefits offered is here.

About Rackspace Technology

We are the multi-cloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.