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Tier-1 employer and metro Hyderabad increase competition, while seniority and niche tooling moderate applicant density.
Requires deep release management, ServiceNow/Jira and telemetry expertise, limiting easy cross-industry transferability.
Explicit 10–12 years plus mandated ServiceNow/Jira, telemetry and AI prompt expertise makes screening highly selective.
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Analyze operational data from ServiceNow, Jira, telemetry platforms to detect bottlenecks, workflow issues, stability trends, and automation opportunities in SaaS Operations and QA environments.
Develop dashboards, reports, and narrative insights linking telemetry and ticketing data to identify root causes and recommend process improvements or automation backlog items.
Document remediation steps, runbooks, environment workflows, and collaborate with AI initiatives to define practical AI use cases improving operational readiness and compliance.
10-12 years experience in Business Analysis or equivalent role.
Strong experience in cloud technologies preferred; domain expertise in software delivery, release management, DevOps, QA or operational process improvement.
Hands-on expertise with ServiceNow, Jira, or similar work-management platforms for workflow analysis.
Experience creating reusable AI prompts for analyzing large operational data sets and translating technical findings into business-ready documentation.
Proven ability to work in ambiguous environments by defining problems, sourcing and validating data, and driving actionable next steps independently.
Experience bridging operational teams and AI practices, able to correlate telemetry and ticketing data for root-cause insights and operational risk management.
Comfortable translating complex technical analyses into clear business narratives, runbooks, acceptance criteria, and executive summaries tailored to multiple stakeholders.