Senior Manager, Data Engineering

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Rackspace Technology

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1998

🏢 Enterprise

🤖 Artificial Intelligence

🔐 Security

Enterprise • Artificial Intelligence • Security

Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.

📋 Description

• Develop and manage a sustainable, profitable model for the team with targets • Assisting the sales teams in the consultative sales process, elevating the sales pitch with relevant expertise • Keeping informed of and evaluating new and existing market trends - turning them into practical and compelling commercial opportunities • Supporting the development of professional services expertise and competencies within each country's organization • Liaising with the APJ teams to define solution requirements and implement new go-to-market plans for data services • Manage the team, milestones, activities, and goals • Provide regular one-on-ones and quarterly performance reviews for individual team members

🎯 Requirements

• Over 3 years of commercial experience in Project Management using a structured Project Management methodology • Very strong contract/project negotiation/ renegotiation skills • Excellent understanding of technical, cost, and risk implementation of potential solutions • 10+ years’ experience with Business Intelligence and Data warehousing • Hands-on skills in project management, architecture, development, and design for data analytics applications • Good understanding of architecture and design for large-scale data warehousing/data lake solutions • Very good knowledge of Data Warehousing concepts and Metadata modeling techniques • Demonstrated experience with translating business requirements into data analysis and reporting solutions • Must have prior experience coordinating offshore teams and working in an on-site offshore setup

🏖️ Benefits

• Health insurance • Professional development opportunities • Paid time off