Data Operations Lead (AI)

Location: Must be based in or willing to relocate to the Irvine / Los Angeles area, with onsite client work as required.

Company

hirify.global is a platform-based services firm delivering digital, cloud, data, and AI solutions across healthcare, high-tech, CPG, finance, sales, marketing, and customer support.

What you will do

• Own the end-to-end enterprise data service across legacy and modern technology stacks.
• Lead client governance, service reporting, SLA management, escalations, and major-incident communications.
• Define operating procedures, monitoring frameworks, severity models, escalation paths, and closure criteria.
• Lead P1/P2 incident triage and problem management across internal teams, vendors, and hosting providers.
• Govern data architecture, dimensional models, business keys, slowly changing dimensions, and semantic consistency.
• Advance AIOps and GenAI capabilities for predictive monitoring, intelligent triage, and self-healing operations.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 10–15 years of experience in data engineering, data warehousing, or data operations, preferably in a managed-service environment.
• Client-facing leadership experience with governance forums, SLAs, service reporting, and senior stakeholder escalations.
• Experience with Informatica PowerCenter, relational data warehouses, Snowflake, dbt, and managed ingestion tools such as Fivetran, Airbyte, or Matillion.
• Strong SQL, dimensional modeling, warehouse performance tuning, enterprise scheduling, ServiceNow ITSM, monitoring, and data-quality expertise.
• Production experience with AIOps or intelligent observability, plus practical use of ML and GenAI for anomaly detection, incident clustering, triage, summarization, or runbook generation.

Nice to have

• MicroStrategy or another enterprise BI platform.
• Python or PySpark for operational tooling and automation.
• Cloud cost management and FinOps, especially Snowflake credit optimization.
• Observability, alert-quality improvement, toil reduction, or ITIL experience.

Culture & Benefits

• Client-facing role combining technical leadership with service ownership.
• Work across healthcare, high-tech, CPG, finance, and other industries.
• Engagement with legacy and modern data platforms, cloud technologies, AI, and automation.