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Remote role, mid-level experience, and popular AI prompt skillset increase applicant competition.
AI prompt and automation skills are transferable, but domain-specific data operations knowledge increases sensitivity.
Explicit 2–5 year requirement plus mandatory AI/LLM, prompt design, and low-code skills.
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Identify and develop small, incremental AI and automation solutions to improve workflows in data delivery and data quality.
Collaborate with Data Operations, Governance, and validators to deploy, monitor, and iterate AI-assisted workflows ensuring alignment with governance rules and definitions.
Escalate complex needs beyond contained solutions by defining clear requirements for engineering and platform teams to enable larger-scale deployments.
2–5 years of experience in data, operations, analytics, classification, or domain-expert roles.
Hands-on experience with AI/LLM tools, prompt design, and low-code or automation platforms.
Ability to translate governance rules into automation logic and define clear requirements for escalations.
Work Experience Required: 2–5 years explicitly stated.
Operates as a citizen developer focused on practical, self-contained AI and automation solutions rather than heavy engineering.
Demonstrates strong domain understanding of data and processes in data delivery and quality.
Analytical mindset with a track record of measuring impact and iterating automation solutions based on real-world validation and feedback.