Back
Medium - Tier-1 brand but senior niche operational-AI focus limits applicant pool.
High - requires niche operational tooling, release/QA and telemetry experience, reducing cross-industry transferability.
High - explicit 10–12 years plus mandatory ServiceNow/Jira, DevOps/QA and AI prompt experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyze operational data across ServiceNow, Jira, telemetry, and other systems to identify bottlenecks, process misalignments, stability issues, and automation opportunities.
Develop queries, dashboards, reports, and documentation (runbooks, workflow maps) to support operational teams in improving SaaS operations, QA integration, and deployment readiness.
Collaborate to define practical AI use cases for operational improvements while ensuring responsible AI governance and minimizing operational risk.
10-12 years of experience in Business Analysis or equivalent field.
Strong experience with cloud-based technologies preferred; expertise in software delivery, release management, DevOps, QA, or operational process improvement required.
Hands-on experience analyzing workflows in ServiceNow, Jira, or similar enterprise ticketing platforms.
Experience creating AI prompts for large operational datasets and translating technical findings into business-ready recommendations.
Experienced in end-to-end operational data interrogation linking incident management, telemetry, and workflows to root causes and operational actions.
Skilled in translating complex technical patterns into clear business narratives, runbooks, and actionable automation backlogs.
Comfortable working independently in ambiguous environments, driving problem definition, data validation, and next steps in a large-scale SaaS operations or QA integration context.