Practice Manager, Data Science, AI & ML- US

Rackspace

72d • $128,300 - $213,900

About The Position

Practice Managers are expected to be subject matter experts capable of leading a group of like-minded Rackers in the Data science, AI and ML practice. This role includes both deliveries in a Professional Services Data Science Architect or an SME role on customer engagements as well a commitment to ensuring the overall success of the practice as a leader. As an experienced Data Science Practice Manager who understands how to run successful professional services engagements, you will help drive projects that deliver successful outcomes for customers wanting to do Data science and AI/Ml projects. Successful candidates will have demonstrated the ability to think strategically about businesses, create technical definitions around customer objectives in complex situations, develop solutions and strategies, motivate & mobilize resources, provide technical guidance, and deliver results. The ability to connect technology with measurable business value is a critical component to be successful in this role. We seek team members who are self-motivated, driven, collaborative, and passionate about deep cloud adoption and technology in general. As a manager, you will have a steam of direct reports that include Data Science Architects, Data Scientists, ML engineers who you will mentor and assist with their development. In addition to managing your direct reports, you will act as a leader within the practice, supporting objectives such as overall quality and efficiency of our delivery, supporting sales teams with shaping and reviewing opportunities, creating growth strategies for practice, and building and maintaining AWS alliance and partner relationships. Support operational tasks such as resourcing support or hiring and onboarding new Rackers. Strong communication skills, the ability to lead and inspire others, and emotional intelligence are critical to your success in this role.

Requirements

• 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.

Responsibilities

• Be technically focused and understand business planning implementation.
• Be the lead technical liaison between customers and engineering resources.
• Provide tactical scope and work directly with business representatives/customers to understand requirements.
• Lead teams of both business and technical colleagues throughout the project.
• Ensure that all appropriate questions are asked and verify that nothing crucial is overlooked.
• Educate customers on the value of data science and AI Solutions.
• Help customers transition to the cloud with high-value migration approaches.
• Deliver modern AI and ML solutions for clients, including generative AI and cloud services.
• Establish credibility and build impactful relationships with customers.
• Lead and participate in architectural discussions to ensure customer success.
• Conduct deep-dive education/training sessions for customers and Rackers.
• Attend and present at Industry Events.
• Collaborate in setting up Go to Market strategies for Data science and AI.
• Travel up to 50% of the time.
• Hold regular 1:1 meetings with direct team members.
• Foster an aspirational working culture within the team.
• Own practice Growth & Productivity.
• Provide coaching for team members and help establish and track goals.
• Act as a communication conduit for practice membership.
• Create sources of feedback for practice members.
• Work with presales architects on designing and validating proposals.
• Support tasks related to hiring and onboarding new Rackers.
• Understand metrics of practice performance and support improvement initiatives.
• Identify and drive internal initiatives for practice development.

Benefits

• Annual bonus or incentives.
• Equity awards.
• Employee Stock Purchase Plan (ESPP).

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees