Data Operations Manager - AI-Driven Insights (Remote)

HealthEdge; United States; Remote; USD 130,000 - 140,000; Full time

Job summary

HealthEdge is seeking a Data Operations Manager focused on data insights to bridge data platform engineering with ITSM-aligned Problem Management. The role will leverage AI to ingest multiple operational sources, model failure trends and surface prioritized insights for permanent resolution across HealthEdge’s integrated platform.

In this hybrid, remote US-based position, you will own the data engineering lifecycle, drive problem prioritization in roadmaps and develop executive-ready dashboards

Qualifications

• 5+ years of data engineering experience with production-grade pipeline design, transformation logic and operational data modeling.
• Proficiency with Python or Scala for data processing; strong SQL for analytical querying against large, event-driven datasets.
• Hands-on experience with Jira and at least two of the following: PagerDuty, Datadog, Splunk, ServiceNow – ideally in an operational analytics or SRE context.
• Experience integrating large language model (LLM) APIs – including Anthropic Claude, OpenAI or similar – into data workflows, automated summarization pipelines or insight generation applications.
• Proficiency building interactive dashboards and data visualizations, Amazon QuickSight a strong plus.

Responsibilities

• Design, build and maintain pipelines that consolidate data from PagerDuty, Jira, ServiceNow, Datadog, Splunk into a unified analytical layer.
• Develop and curate data models that identify repeat incidents, known error patterns, chronic alert noise and engineering toil.
• Maintain data quality, lineage and governance standards across all ingested sources – ensuring findings are defensible when presented to senior leadership.
• Leverage AI and automation – including the Claude API – to accelerate pattern detection, root cause hypothesis generation and report synthesis.
• Own and drive the Problem Management lifecycle across HealthEdge client-facing products.
• Translate incident patterns into structured Problem Records with defined scope, impact quantification, and recommended permanent fix strategies.
• Partner with Engineering, SRE, Platform and Product teams to embed problem-driven prioritization into sprint planning and tech debt roadmaps.
• Facilitate Problem Review sessions – leading cross-functional teams from data to decision.
• Define and track KPIs that demonstrate Problem Management value: reduction in repeat SEV1/SEV2 incidents, MTTR improvement, tech debt resolution velocity.

Skills

Data engineering

Python/Scala

SQL

AI/LLM integration

Dashboard development

Tools

Jira

PagerDuty

Datadog

Splunk

ServiceNow

Claude API

Amazon QuickSight

Job description

HealthEdge is seeking a Data Operations Manager focused on data insights to bridge data platform engineering with ITSM-aligned Problem Management. The role will leverage AI to ingest multiple operational sources, model failure trends and surface prioritized insights for permanent resolution across HealthEdge’s integrated platform.

In this hybrid, remote US-based position, you will own the data engineering lifecycle, drive problem prioritization in roadmaps and develop executive-ready dashboards