Director- Operations

MetLife · Delhi

  • Experience9+ yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted1 Oct 2026
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About MetLife

MetLife is hiring in Delhi in insurance. This role looks for around 9+ years of experience.

Skills

  • Leadership
  • Coaching
  • Talent development
  • Stakeholder management
  • Strategic thinking
  • Business problem-solving
  • Data Science
  • Machine learning
  • Predictive analytics
  • Statistical methods
  • Model evaluation
  • Generative AI
  • Large Language Models
  • Agentic AI
  • Python
  • SQL
  • Analytics ecosystems
  • Cloud-based analytics platforms
  • Data engineering
  • MLOps
  • Data governance
  • Model governance
  • Privacy
  • Responsible AI

The role

An operations director at an insurance company shapes data science strategy and guides machine learning, predictive analytics, and responsible AI programs, while aligning analytics priorities with business needs. The role also applies Python and SQL knowledge to stakeholder decisions and practical implementation.

Full job description

Strong leadership, coaching and talent development skills.Ability to influence senior stakeholders and build alignment across diverse teams.Excellent communication skills with the ability to simplify complex technical topics for business audiences.Strong strategic thinking and business problem-solving capabilities.Good understanding of the end-to-end Data Science lifecycle, from problem definition through deployment and monitoring.Working knowledge of machine learning, predictive analytics, statistical methods and model evaluation techniques.Understanding of Generative AI, Large Language Models, Agentic AI and emerging AI trends.Good understanding of Python, SQL and modern analytics ecosystems without the expectation of daily hands-on development.Awareness of cloud-based analytics platforms, data engineering concepts and MLOps practices.Understanding of data governance, model governance, privacy requirements and responsible AI principles.Ability to balance technical considerations with business priorities and practical implementation needs.Strong collaboration and stakeholder management skills across business and technology functions.