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 various data chapters and stakeholders to drive revenue impact through AIML implementation, and developing and implementing a comprehensive AIML roadmap. The role also involves identifying and prioritizing business opportunities for AIML applications, increasing transparency of AIML capabilities, and promoting an AIML culture across business units. Additionally, the position requires providing advisory support on AIML applications to data users and business owners, designing and building self-service CE measurement data products, managing VOC platforms, and analyzing customer feedback trends. The responsibilities extend to managing projects, supporting Agile initiatives, and ensuring data quality and compliance while engaging in strategic partnerships and driving innovation across digital transformation efforts.
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.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
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