Overview
develop business acumen by linking data platform decisions to measurable customer value and consumption growth; and Engage customer IT and business leaders to understand data estates, AI priorities, governance needs, success measures and business outcomes; design secure, scalable Cloud & AI Data solutions for unified, governed, AI-ready estates. Own technical delivery for your engagements, partnering with other technical and non-technical roles to ensure Azure consumption and customer ambitions are planned and met. Use and contribute repeatable IP, templates, frameworks and agents to accelerate deployment, improve consistency, grow Data share and support Azure consumption outcomes. Lead workload health, resiliency, sovereignty, security, capacity management and optimization for mission-critical data workloads and production-scale AI and agent use cases. Resolve technical blockers and ado
Full job description
Full Job Description
develop business acumen by linking data platform decisions to measurable customer value and consumption growth; and Engage customer IT and business leaders to understand data estates, AI priorities, governance needs, success measures and business outcomes; design secure, scalable Cloud & AI Data solutions for unified, governed, AI-ready estates. Own technical delivery for your engagements, partnering with other technical and non-technical roles to ensure Azure consumption and customer ambitions are planned and met. Use and contribute repeatable IP, templates, frameworks and agents to accelerate deployment, improve consistency, grow Data share and support Azure consumption outcomes. Lead workload health, resiliency, sovereignty, security, capacity management and optimization for mission-critical data workloads and production-scale AI and agent use cases. Resolve technical blockers and adoption issues and share customer and field feedback with product and engineering teams to improve platform readiness and outcomes. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND experience in cloud, data platform, analytics, database, AI, or infrastructure technologies, information technology (IT) consulting/support, systems administration, data engineering, database administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience Business fluency in English. Experience working in a customer-facing role with internal and/or external customers. Experience contributing to or delivering technical projects. Hands-on experience building and optimizing data-intensive solutions, including applying AI-assisted development approaches alongside technical knowledge and judgment. Experience contributing to the design or delivery of a trusted data foundation for agentic AI applications. Experience working with globally distributed customers or stakeholders and coordinating delivery across countries, time zones, and cultures.
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