Position Summary: MetLife established a Data and Analytics center in Hyderabad to scale and mature Data and Analytics capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Data and Analytics' talent strategy with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The team in India mirrors the global DnA team with focus across Data science, Enterprise business intelligence, Data Governance, Data Quality, Solutions Engineering and Agile Delivery. In partnership with Business, IT, DnA colleagues in other geographies, the team has been delivering data & analytics solutions for the Enterprise across lines of businesses, corporate functions, markets, and products. Role Value Proposition To drive the development and delivery of end-to-end data and analytics solutions for key insurance business functions such as claims service &operations, customer acquisition, customer engagement & retention, distribution, investments, marketing, risk management and underwriting. The role will collaborate with partners from Business, operations, technology and risk management functions to develop scalable and responsible AI solutions. Job Responsibilities: Drive business transformation using Data, Analytics and AI Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery. Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement. Engage in open-ended conversations, navigate through ambiguous situations and develop clarity. Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise. Communicate, engage, and present roadmaps, use cases, solutions, & impact to executive/senior management. Deliver products and solutions in a timely, proactive, and entrepreneurial manner. Institutionalize best practices, contribute to research and experimentation efforts. Accelerate solution delivery using re-usable frameworks, prototypes and hackathons. People leadership: talent acquisition, coaching and mentoring team. Education, Technical Skills & Other Critical Requirement Bachelor's/ Master's degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred 12-18+ years of relevant experience in data and analytics product & solution delivery Traditional as well as modern statistical and machine learning techniques Azure ML, OpenAI, Python, PyTorch , SQL, and TensorFlow. Experience working with large and complex internal, external, structured, and unstructured datasets. Responsible deployment of AI. Technical documentation for solutions. Solution Engineering and Consultative skills: Strong conceptual and creative problem-solving skills empathy led engagement with focus on stakeholder motivation, needs and aspirations. Agile methodologies & tools. Excellent written, verbal communication skills and presentation skills engage in meaningful manner with variety of audience: business stakeholders, technology partners & practitioners, executive and senior management. Proven record in driving data & analytics/digital transformation in large organizations Industry knowledge about emerging AI trends, AI tools and technologies Preferred: New age AI and ML techniques such as GenAI, foundational models, large language models (LLMs) and applications ML Ops, AI Ops, Generative AI, Ethical AI, AI in cloud(Azure, AWS, Google Could Platform etc) Management consulting experience Data management, Data engineering, Data governance, Data operations, Data on Cloud
