Practice Manager - Data Science, AI and ML

December 11

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Rackspace Technology

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IT as a Service • Multi-Cloud • Managed Hosting • Managed AWS/Azure/Google Cloud Platform/OpenStack/Alibaba • Managed Private Cloud for VMware/Microsoft/OpenStack

5001 - 10000 employees

Founded 1998

☁️ SaaS

Description

• 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, 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. • As a manager, you will have a team 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.

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.

Benefits

• As per business requirements