Sunil Albert serves as the Director of Customer Success for Data and AI at Microsoft, where he passionately drives value co-creation to empower clients in their digital transformation journeys. With a focus on leveraging Microsoft’s cutting-edge Data, Analytics, and AI technologies, Sunil leads a dynamic...
Sunil Albert serves as the Director of Customer Success for Data and AI at Microsoft, where he passionately drives value co-creation to empower clients in their digital transformation journeys. With a focus on leveraging Microsoft’s cutting-edge Data, Analytics, and AI technologies, Sunil leads a dynamic team of Cloud Solution Architects and Customer Engineers. Together, they work to ensure that customers not only adopt these advanced solutions but also realize tangible business outcomes that enhance their competitive edge.
Under Sunil's stewardship, key projects have centered around enabling organizations to harness the power of Generative AI and advanced analytics, facilitating new revenue opportunities and differentiated value propositions across various industries. His expertise in Professional Services and Solution Architecture allows him to guide clients through complex implementations, ensuring that architectural best practices are adhered to for scalability and sustainability. Sunil’s commitment to sustained value realization means that he emphasizes continuous engagement with customers, helping them navigate the evolving landscape of cloud technologies and data-driven decision-making.
With a background that includes experience in PaaS, SaaS, and partnerships with channel partners, Sunil is adept at aligning technology solutions with business strategies. His leadership not only fosters innovation but also cultivates a culture of collaboration and knowledge-sharing, positioning Microsoft as a trusted partner in the journey towards digital excellence. As organizations increasingly pivot towards AI-driven solutions, Sunil's role is pivotal in guiding them through this transformation, ensuring they unlock the full potential of their data assets while driving meaningful business impact.
