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  • Posting Location: Hyderabad, India

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Description and Requirements

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

  • Bachelor’s/Master’s degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred;
  • 10-14+ 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. 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,



  • 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