Cloud & AI CSA Manager

Microsoft's mission is to empower every person and every organization on the planet to achieve more. Within the Customer Success Unit (CSU), the Cloud Solution Architect (CSA) team plays a central role in helping our customers accelerate Microsoft Cloud & AI adoption — spanning Azure, Azure AI, and agentic AI — to unlock business value and solve the most complex technical challenges in the cloud.As a Cloud & AI CSA Manager supporting our Telco, Media & Gaming (TMG) customers, you lead a high-performance team of cloud solution architects, combining deep technical expertise in cloud, data, and AI engineering with strong people leadership and the ability to manage multiple concurrent engagements. You are responsible for developing talent, ensuring technical excellence across deliverables, and translating the organization's Cloud & AI strategy into concrete outcomes for TMG customers and the business.TMG customers are reinventing how the world connects, creates, and plays — telecommunications operators modernizing networks and monetizing 5G, media and entertainment companies transforming content production and distribution, and gaming leaders scaling global platforms. You lead the architects who turn Microsoft's Cloud & AI platform into measurable value for them, while building an inclusive, high-growth technical team.

People Leadership and High-Performance Team Management Lead, engage, and develop a team of Cloud Solution Architects, fostering a high-performance, collaborative, and continuously growing environment.Attract, hire, and retain technical talent, with a focus on retention, career development, succession, and diversity and inclusion.Apply the Microsoft leadership model (Model – Coach – Care), leading by example, coaching the team, and genuinely caring for people.Manage the full performance cycle consistently: set clear goals, provide continuous feedback, conduct reviews, and recognize results.Foster a culture of growth mindset, continuous learning, and accountability for results. Technical Leadership in Cloud & AI Engineering Apply deep knowledge of cloud, data, and AI engineering to guide architecture decisions, coding and design best practices, quality, and scalability across Azure and AI workloads.Act as the team's senior technical reference, reviewing Cloud & AI solution architectures (Azure, Azure AI, agentic AI, data platforms) and supporting complex technical engagements with customers.Ensure engineering excellence across deliverables: development standards, automation, DevOps, MLOps, responsible AI, security, and reliability.Keep the team current on new cloud services, AI capabilities, and engineering trends, promoting ongoing technical enablement and certification. Multi-Project and Delivery Management Lead multiple projects and technical engagements simultaneously, balancing priorities, deadlines, and team capacity.Plan and prioritize resources, dependencies, and risks across projects, ensuring delivery within agreed scope, timeline, and quality.Provide visibility into status, risks, and outcomes to technical and executive stakeholders through clear, concise communication.Establish processes and mechanisms that increase the team's delivery predictability and efficiency. Customer and Business Impact Drive Azure and AI consumption and adoption, connecting technical delivery to customers' business objectives.Build trusted relationships with customers' technical and executive stakeholders.Serve as the technical and management escalation point for critical situations. Cross-Functional Collaboration Work seamlessly with sales, product engineering, partners, and other Microsoft teams (One Microsoft).Contribute to knowledge sharing and best-practice exchange across teams and regions.

Required Qualifications Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in