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
Requirements:
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
Text:
Director - Data Science 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 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
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