The common responsibilities for this position include leading a team of data scientists to deliver AIML solutions that support the bank's strategic priorities, collaborating with data chapters and business stakeholders to drive revenue impact, developing and implementing a comprehensive AIML roadmap, identifying and prioritizing business opportunities for AIML applications, increasing transparency of AIML capabilities, and promoting an AIML culture across business units. The role also involves managing key performance drivers through data analytics and AI/machine learning, overseeing the development of customer engagement strategies, driving incremental revenue from debit cards, analyzing data to present insights, and engaging external partnerships to enhance revenue streams. Additionally, responsibilities include managing the governance team, executing control programs, handling compliance-related tasks, and supporting various project executions within the bank's operations.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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Academic degree required as indicated by all job postings
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