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Data Practice Leader Jobs

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Human Resources Manager
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Vietnam , Hanoi
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Optimizely
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Senior Talent Acquisition Partner
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105000.00 - 110000.00 USD / Year
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Group 1 Automotive
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Senior Internal Auditor / Data Analytics
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Canada , Dorval
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Bombardier
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Junior/Medior Privacy Business Partner
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Czech Republic , Brno
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Sport Vision Czechia s.r.o.
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Senior Internal Auditor / Data Analytics
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Canada , Dorval
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Bombardier
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Solutions Director - Analytics & AI
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United Kingdom
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Rackspace
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Solutions Director, Analytics & AI
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United States
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202100.00 - 355410.00 USD / Year
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Rackspace
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Senior BI Engineer
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India , Gurgaon
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Rackspace
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Business Analyst
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United States
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86500.00 - 114000.00 USD / Year
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Knock
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Data Operations Manager
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India , Chennai
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Hogarth
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Director, Data Analytics & Customer Insights
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United States , Washington, DC
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163000.00 - 211140.00 USD / Year
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AMTRAK
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Bilingual Senior Performance Partner
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Canada , Toronto
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90500.00 - 122500.00 CAD / Year
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Intuit
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Associate Director, Reinforcement Learning (ML)
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United States , Thousand Oaks; Jacksonville
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Amgen
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Senior Technology Lawyer
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Australia , Sydney
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Prezzee
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Talent Acquisition Partner - Senior Leadership Hiring
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Portugal; Spain , Lisbon; Madrid
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Pleo
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Lead Data Engineer
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India , Gurugram
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Circle K
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Lead Data Engineer
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India , Gurugram
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Circle K
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Senior Technical Recruiter
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India , Bengaluru
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Atlassian
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Vice President of Data Analytics
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United States
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272000.00 - 368000.00 USD / Year
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1Password
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FLEX Senior Solutions Architect
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United States , Bethesda
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83.17 - 101.11 USD / Hour
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Marriott Bonvoy
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Explore Data Practice Leader jobs and discover a pivotal executive role at the intersection of technology, business strategy, and people leadership. A Data Practice Leader is a senior professional responsible for building, scaling, and directing an organization's entire data capability. This is not a hands-on coding role but a strategic leadership position that defines how a company leverages data, analytics, and AI to achieve its objectives. Typically found in consulting firms, IT service providers, and large enterprises with dedicated practices, these leaders translate business vision into a coherent data strategy and ensure its execution. The core responsibility of a Data Practice Leader is to own the vision and strategic roadmap for the data practice. This involves aligning data initiatives with overarching business goals, driving innovation through emerging technologies, and establishing best practices for data governance, architecture, and delivery. They are accountable for the practice's growth, financial health, and market reputation. A significant part of the role focuses on talent and team management. Practice Leaders build, mentor, and lead a large team of data professionals—including data engineers, scientists, analysts, and architects—fostering a culture of technical excellence, collaboration, and continuous learning. They are directly involved in scaling the team to meet evolving business demands. Operationally, Data Practice Leaders oversee the delivery of complex data solutions, ensuring projects meet quality standards, timelines, and client or stakeholder expectations. They act as a key liaison between technical teams, executive leadership, and external clients, requiring exceptional stakeholder management. Their involvement often extends to business development and pre-sales activities, where they collaborate with sales teams to design compelling data solutions, contribute to proposals, and present technical architectures to win new business. Tracking and managing key performance indicators (KPIs) related to team productivity, project delivery, client satisfaction, and financial targets is a fundamental aspect of the role. Typical skills and requirements for Data Practice Leader jobs include a substantial background (often 8+ years) in data engineering, analytics, or a related field, coupled with several years of proven experience in a leadership role managing large teams. A deep, hands-on understanding of modern data ecosystems is essential—this includes cloud platforms (like AWS, Azure, or GCP), data pipeline tools, analytics frameworks, and AI/ML workflows. Beyond technical acumen, success in this profession demands strong business and commercial sense, outstanding communication and presentation skills, and the ability to operate strategically in a fast-paced environment. Professionals seeking these jobs are visionary leaders who can inspire teams, drive change, and position data as a core competitive advantage for their organization.

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