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MetLife

Lead Data & Analytics | TIC

Posted 2 Days Ago
Be an Early Applicant
Remote
Senior level
Remote
Senior level
Lead the development and delivery of end-to-end data and analytics solutions for insurance business functions, focusing on claims, customer engagement, and risk management. Collaborate with business and tech teams to create scalable AI solutions, manage the product life cycle, and mentor team members.
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Description and Requirements
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 lead the development, delivery and execution 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

  • Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery.
  • Contribute to hands-on development of data & analytics solutions.
  • Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement.
  • Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise.
  • Communicate, engage, and present roadmaps, use cases, solutions and impact to 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
Education
Bachelor's/Master's degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred;
Experience
(In Years)
10-14+ years of relevant experience in data and analytics product & solution delivery
Technical Skills

  • 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. Developing and maintaining detailed technical documentation.
  • Solution Engineering and Consultative skills: Strong conceptual and creative problem-solving skills
  • 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.
  • Industry knowledge about emerging AI trends, AI tools and technologies,


Other Critical Requirements
Preferred:

  • Familiarity of new age AI and ML techniques such as GenAI, foundational models, large language models (LLMs) and applications
  • Certifications in AI space such as ML Ops, AI Ops, Generative AI, Ethical AI, AI in cloud
  • Management consulting experience
  • Data management, Data engineering, Data governance, Data operations, Data on Cloud


About MetLife
Recognized on Fortune magazine's list of the 2024 "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we're inspired to transform the next century in financial services.
At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid

Top Skills

Python

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