The common responsibilities for this position include leading a team of data scientists to deliver AIML solutions, collaborating with various data chapters and stakeholders to drive revenue impact, developing and implementing a comprehensive AIML roadmap, identifying business opportunities for AIML, increasing transparency and promoting AIML culture, and providing advisory on AIML applications. Additionally, responsibilities encompass designing and automating interactive BI dashboards, conducting business analysis, implementing data initiatives, managing data architecture for analytics, overseeing credit risk analytics, and ensuring compliance with operational risk frameworks. The role also involves managing strategic partnerships, overseeing employee compensation programs, conducting risk assessments, and preparing management reports to support decision-making processes.
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
Job subclassifications that have advertised a position