Practice Director - Data Engineering and AI/ML

December 14, 2024

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Logo of Rackspace Technology

Rackspace Technology

Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

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 Directors are expected to be visionary leaders and subject matter experts, capable of driving success in the Data Engineering, Analytics, and AI/ML practice. • This role encompasses delivering strategic and technical expertise in customer engagements while ensuring the overall growth and excellence of the practice. • As an experienced Practice Director you will lead initiatives focused on Data Modernization, AI/ML, and intelligent product development. • Successful candidates will demonstrate strategic thinking, develop innovative data solution strategies, and align complex technical objectives with business goals. • You will inspire and mobilize resources, providing technical guidance while fostering collaboration and innovation. • As a director, you will lead a team of Data Engineers, Data Architects, and Machine Learning professionals, mentoring and guiding their development. • Beyond team leadership, you will champion practice goals, ensuring high-quality and efficient delivery and supporting sales efforts. • Strong communication skills, a collaborative mindset, and the ability to inspire trust and innovation are essential to succeeding in this role.

🎯 Requirements

• Extensive Leadership Experience: 15+ years of leadership, with a strong track record of 12+ years in the consulting industry. • Business Line Oversight: Proven experience managing a business line and P&L • Expertise in Data AI and Technology Solutions: Demonstrated ability to lead analysis, architecture, design, and development of cloud Data and AI and technology solutions, including process redesign, change management, and strategic alignment. • Cross-Capability Implementation: Experience delivering business advisory services, Data and AI solutions, and technology integrations. • Depth in Data and AI Domains: Expertise in Data and AI/ML engineering, data science, and analytics consulting, with comprehensive knowledge across Data and AI disciplines. • Team Management: Skilled in managing senior-level teams and driving their development and performance. • Strategic Advisor: Strong ability to act as a trusted advisor to clients and stakeholders. • Financial Acumen: Proven experience in financial management and successfully operating a business. • Engagement Leadership: Proficiency in leading transformation projects involving change management, organizational design, process mapping, data strategy/analysis, and technology implementation. • Executive Presence: Exceptional communication skills and the ability to establish trusted relationships with C-level executives. • Organizational Excellence: Mastery in promoting organizational innovation, collaboration, and continuous improvement through dynamic leadership. • High-Stakes Engagements: Experience in leading strategic pursuits for key accounts and capability-focused deals. • Cloud and Agile Expertise: Deep experience in cloud-based Data engineering, Artificial Intelligence, Machine Learning, and Agile delivery, ensuring efficient, scalable, and innovative solutions. • Delivery Leadership: Ability to shape and lead delivery teams from architectural design to project inception, ensuring alignment with client objectives and high-quality outcomes

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💰 Post-IPO Debt on 2023-01

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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