Business Advisory - Gen AI ( BFSI Domain )

Job Description

AI Business Advisory at LTIMindtree helps our clients by combining the best aspects of AL/ML and rich domain experience to unlock new efficiencies & growth and facilitate game-changing innovations leveraging AI. This role is ideal for a strategic thinker with deep domain expertise in BFSI and a strong grasp of AI/ML technologies. You will lead high-impact AI transformation initiatives, advise C-level stakeholders, and drive innovation across BFSI lifecycle. Responsibilities As part of AI Business Advisory Team, you will be expected to: Structure high value business problems and design solutions for the Retail Banking, Business Banking/Investment Banking/Commercial Banking/Corporate Banking/Asset & Wealth Management/Insurance domain by combining best aspects of AI / ML and rich domain experience. Provide thought leadership to clients at the business head level and help them sharpen their business strategy in developing & implementing AI/GenAI solutions and evangelize for last mile adoption. Participate in industry events, conferences, and webinars to showcase our expertise and position us as a thought leader. Develop Proof of Concepts working with client stakeholders and mapping their business pain points and problems to AI needs and leveraging relevant tools and frameworks. Understand and manage the expectations from the engagements to build, deepen and broaden client relationship. Bring alignment between customer's technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way. Stay ahead of AI trends, regulatory changes, and emerging technologies in BFSI. Improvise on new and innovative AI solutions drive its adoption to the market. Own end to end delivery of, a) large & complex Analytics & AI led transformation programs, b) small and nimble business insights initiatives to realize quick gains. Desired Skills & Experience At least 10 years of experience working in the analytics industry in Retail Banking/Business Banking/Investment Banking/Commercial Banking/Corporate Banking/Asset & Wealth Management/Insurance domain and having good understanding of key industry challenges and Data complexities. Strong knowledge of AI/ML concepts. Machine Learning and Artificial Intelligence certification from a reputed institute with specialisation in advanced statistical techniques of Supervised and Unsupervised Learning algorithms. Understanding of ethical AI, explainability and regulatory compliance (e.g. GDPR, RBI guidelines etc.) Experience with writing communications such as strategy papers or white papers. Participated in the product management and marketing lifecycles (directly or indirectly) A confident communicator with an executive presence, able to clearly explain the program to non-technical and technical audiences. Good to have experience of with cloud- based development and deployment of solutions across one of AWS, GCP or Azure. Should have hired and nurtured talent and grow them in market facing specialists and consultants. Should have built a community of practice on AI.