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Practice Director - Data Engineering and AI/ML

Illinois, United States (Remote)

Practice Director - Data Engineering and AI/ML

12 Hours ago • 12-15 Years • Artificial Intelligence

About the job

5 skills required for this role

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data-science

leadership

innovation

resource-allocation

resource-planning

Job Description

The Practice Director - Data Engineering and AI/ML at Rackspace will lead and grow the Data Engineering, Analytics, and AI/ML practice. This role demands extensive leadership experience (15+ years overall, 12+ in consulting), expertise in data and AI solutions, and strong business acumen. Responsibilities include strategic planning, team management (Data Engineers, Architects, ML professionals), client engagement, driving sales, and ensuring operational excellence. The ideal candidate will possess a deep understanding of cloud technologies, agile methodologies, and possess exceptional communication and executive presence skills. They will develop and implement innovative strategies for business development and talent management.

Must have:

15+ years leadership, 12+ in consulting
Data & AI solution expertise
Business line management & P&L
Team management & development
Strategic client advising
Cloud & Agile experience
Executive presence & communication

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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 with a proven ability to manage and execute professional services engagements, 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, align complex technical objectives with business goals, and deliver measurable outcomes. You will inspire and mobilize resources, providing technical guidance while fostering collaboration and innovation. Passion for cutting-edge technology, cloud adoption, and analytics is critical to thrive in this role.

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, supporting sales efforts, shaping project opportunities, and managing operational priorities like resource allocation and hiring. 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

Responsibilities : Practice Leadership and Growth

Practice Building: Spearhead the growth of the practice area by developing innovative strategies for business development, talent management, and project delivery. Cultivate thought leadership by creating best practices, reusable assets, case studies, and solution frameworks that differentiate the practice in the market.
Strategic Vision: Define and communicate a compelling vision for the practice, aligning with organizational goals and market opportunities to position the team as a leader in data and analytics.
Accountability: Own all aspects of practice growth, including driving sales, recruiting top talent, managing client accounts, overseeing consulting engagements, and ensuring operational excellence across the practice.

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