Develop and publish forward-thinking insights on emerging AI trends, innovations, and market developments. This includes analyzing the entire AI ecosystem, from Data and AI infrastructure, AI ecosystem including hyperscalers, platform, technologies and application providers, professional services players, investment communities, and more.
Lead comprehensive research on Data, Analytics, and AI technologies, producing high-quality, actionable reports and market commentary
Focus on key areas like strategy, best practices, market trends, and vendor analysis within the technology space.
Leverage your deep expertise in the AI landscape to inform thought leadership, combining both technological and industry-specific understanding.
Establish a body of research that positions EXL as a recognized leading voice in the AI space.
Support internal engagements by delivering market insights, competitive benchmarking, and strategic guidance based on research and market intelligence.
Design and deliver high value presentations and other materials.
Collaborate with internal teams across geographies, including AI and Analytics SMEs, marketing, and other internal EXL functions to drive project delivery.
Present insights to EXL senior leadership including Presidents, Business Heads & EC members.
Skill set required for the role:
Deep understanding of and hands-on experience in evaluating AI and data infrastructure and application landscape. Must have a strong consulting/advisory research background
3-5 years of analyst experience with demonstrated focus on Data and AI technologies.
Strong ability to analyze market trends and enterprise needs to deliver actionable insights.
Excellent written and verbal communication skills, including experience publishing research and presenting to executive audiences.
Dynamic and agile thinker
Flexibility to go the extra mile
Education qualifications and experience:
Bachelor's degree in Computer Science, Information Technology, Electronics Communication
MBA from Tier I college with 3-5 years of experience working with clients in a consulting, advisory, or research capacity
Prior experience in primary/secondary research methodologies, market modelling, and competitive landscaping.
Exposure to global markets and understanding of enterprise technology adoption trends.