The common responsibilities for this position include overseeing vendor relations and collaborating with business users and technology teams for system design and implementation; leading the design and delivery of digital solutions and innovations across the organization; managing project scope, timeline, release schedule, and quality; driving the full lifecycle of data and AI solutions from planning to post-deployment support; and overseeing the architecture design, ensuring cybersecurity measures are integrated. Additionally, responsibilities include conducting evaluations of new solutions and products, leading code reviews, mentoring junior staff, and designing advanced reporting and analytics within the self-development Data platform. The role also involves preparing and reporting on project progress, promoting alignment with other architects, and ensuring the accuracy and compliance of Large Language Models in production.
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