Become a pivotal technical advisor and strategist for Microsoft's BFSI clients in India. This role is instrumental in shaping customer technology roadmaps, accelerating cloud and AI adoption, and architecting robust, scalable, and compliant solutions that align with national priorities. You'll gain deep technical exposure to cutting-edge Microsoft platforms and have opportunities for significant career advancement into senior technology or leadership positions.

As a Technology Strategist, you will own the technical relationship with customer leadership, including CIOs, CTOs, and CISOs. You'll develop long-term technology roadmaps, positioning Microsoft as the premier platform for cloud, AI, security, and modern work solutions. Leading cloud and AI envisioning, architecture design, and technical validation is key. You will also act as a technical orchestrator, guiding customers through the entire lifecycle of their technology adoption, from design to optimization. Furthermore, you will partner to accelerate Azure consumption and drive tangible business outcomes and customer success.

Provide technical leadership to partners involved in customer delivery, ensuring all architectures adhere to Microsoft's best practices and standards. Drive adoption of Azure services, Copilot, AI, and security solutions, ensuring compliance and data residency requirements are met.

A minimum of 10 years of experience in technical sales, cloud architecture, or enterprise IT is required. A strong foundation in cloud infrastructure, data platforms, security, or AI is essential. The ideal candidate possesses the ability to articulate complex technical concepts to senior executives, exhibits strong architecture, problem-solving, and design thinking skills, and has experience navigating multi-stakeholder and regulated environments. Azure certifications or equivalent cloud/architecture credentials, along with experience in government or regulated industries, are highly preferred. Familiarity with AI, Copilot, cybersecurity, and sovereign cloud models will be advantageous.