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Lead Data Strategist

2 weeks ago

Navi Mumbai, Maharashtra, India beBeeAnalytics Full time ₹ 40,00,000 - ₹ 50,00,000
Chief Data and Analytics Officer Job Description

The role of the Chief Data and Analytics Officer is a strategic leadership position that drives AI and analytics vision, innovation, and operational excellence across the organization.

This leader will develop and deploy advanced data-driven solutions to enhance various use cases such as lead propensity, underwriting, claims management, customer experience, risk assessment, and overall business performance.

Responsibilities:
  • Developing and executing the AI and analytics strategy aligned with the company's overall business goals and digital transformation roadmap
  • Establishing and overseeing the governance, standards, and best practices for AI, ML, and analytics projects across the organization
  • Identifying emerging AI/ML technologies, tools, and platforms; piloting innovative solutions to gain competitive advantage
  • Owning and designing the end-to-end data architecture and platform of the organization to ensure seamless integration from source systems to AI
  • Delivering BI solutions and necessary downstream/upstream integrations
  • Leading and mentoring a team of data scientists, data engineers, analytics professionals, and AI specialists to deliver impactful projects
  • Partnering with business units to identify opportunities and translate business needs into technical solutions
  • Ensuring robust data governance, privacy, security, and quality frameworks are in place
Requirements:

The ideal candidate should have:

  • Educational background: Bachelor's, Master's in Computer Science, Data Science, Statistics, Mathematics, or related field
  • Experience: Minimum of 16 years in AI, Data Analytics, and Digital Transformation, with significant leadership experience in the sector
  • Technical expertise: Deep understanding of machine learning, deep learning, NLP, computer vision, and other AI techniques; proficiency with data platforms, data modelling, and big data technologies
  • Industry knowledge: Strong understanding of insurance processes, underwriting, claims management, actuarial models, and regulatory environment
  • Leadership skills: Proven track record of leading large, cross-functional teams and managing complex projects
  • Strategic thinking: Ability to formulate and communicate a compelling vision for AI/analytics in a corporate setting
  • Change management: Skilled in driving organizational change and fostering a data-driven culture