Architect, Service & Operational Data

Thomson Reuters • Eagan, MN

16h • Hybrid

About The Position

We're hiring an Architect, Service & Operational Data to design and lead the data architecture that powers service reliability, operational visibility, and informed decision-making across technology operations. You'll unify data from monitoring/observability, ITSM, incident/problem/change workflows, asset/CMDB, cloud platforms, and application telemetry—turning fragmented signals into trusted, governable, analytics-ready data products. This is a hands-on architecture role with strong cross-functional leadership: you'll partner with SRE, IT Ops, Security, Engineering, and Analytics to define the operational data strategy and deliver measurable improvements in availability, customer experience, MTTR, change risk, and operational efficiency. Key Responsibilities About the Role As an Architect, Service & Operational Data , you will: Define the operational data strategy and target architecture (current-to-future state), including domains such as incidents, changes, problems, requests, alerts/events, assets/CMDB, SLOs/SLIs, capacity, and cost. Design data models and canonical schemas for service and operational datasets (e.g., service topology, event/alert normalization, incident timelines, change-to-incident linkage). Build and govern reliable pipelines that ingest and transform data from tools like ITSM, observability platforms, cloud logs/metrics/traces, CI/CD, and infrastructure systems. Establish data quality and trust: data contracts, lineage, validation rules, SLAs/SLOs for datasets, and operational monitoring for pipelines. Create "operational data products" (curated datasets, semantic layers, metrics definitions) that enable dashboards, analytics, and automation (AIOps, correlation, anomaly detection). Partner with stakeholders (SRE/IT Ops/Service Owners) to identify high-value use cases: incident reduction, alert noise reduction, change failure rate, capacity planning, and reliability insights. Implement governance and security controls for sensitive operational data (RBAC/ABAC, retention, encryption, auditability, and policy-based access). Set standards and reference implementations for tooling, integration patterns, and best practices across teams. Mentor engineers/analysts and influence roadmap decisions through architecture reviews and technical leadership. About you You are a potential fit for the role Architect, Service & Operational Data , if your background includes: Required Qualifications 8+ years in data architecture, platform/analytics engineering, or operational analytics (with 3+ years in a lead/architect role). Proven experience designing enterprise data architectures (batch + streaming) and delivering scalable data platforms. Strong understanding of service operations and reliability concepts: ITIL/ITSM, incident/change/problem workflows, SLOs/SLIs, event management, and operational KPIs (e.g., MTTR, CFR). Hands-on expertise with modern data stack components: Data modeling (dimensional, Data Vault, domain/event-driven patterns), ETL/ELT and orchestration, Data quality/testing frameworks, Metadata, lineage, and cataloging, Strong SQL and at least one programming language (Python strongly preferred), Experience with cloud data ecosystems (AWS/Azure/GCP) and security fundamentals, and Excellent communication skills and ability to align diverse teams around standards and measurable outcomes. Preferred / Nice-to-Have Experience integrating operational tooling such as ServiceNow, Jira Service Management, PagerDuty/Opsgenie, Dynatrace/New Relic/Datadog, Splunk/Elastic, Prometheus/Grafana, OpenTelemetry. Streaming/event technologies (e.g., Kafka/Kinesis/PubSub) and real-time analytics patterns. Knowledge graph / topology modeling for service dependency mapping. Experience enabling AIOps use cases: correlation, deduplication, anomaly detection, incident prediction. Familiarity with FinOps or capacity/cost analytics tied to service health. Certifications (cloud, data, ITIL) are a plus. What Success Looks Like (First 6–12 Months) A documented target architecture and prioritized roadmap for service & operational data. A canonical operational data model adopted across key domains (incidents, changes, alerts, services/topology). Measurable improvements in data reliability (freshness, completeness, accuracy) and stakeholder trust. Delivered high-impact use cases (e.g., reduced alert noise, improved MTTR reporting accuracy, change risk insights). Why This Role Matters Operational data is often the most valuable—and most chaotic—data in an organization. This role turns operational signals into a cohesive data foundation that improves reliability, reduces toil, and enables automation at scale.

Requirements

• 8+ years in data architecture, platform/analytics engineering, or operational analytics (with 3+ years in a lead/architect role).
• Proven experience designing enterprise data architectures (batch + streaming) and delivering scalable data platforms.
• Strong understanding of service operations and reliability concepts: ITIL/ITSM, incident/change/problem workflows, SLOs/SLIs, event management, and operational KPIs (e.g., MTTR, CFR).
• Hands-on expertise with modern data stack components: Data modeling (dimensional, Data Vault, domain/event-driven patterns), ETL/ELT and orchestration, Data quality/testing frameworks, Metadata, lineage, and cataloging
• Strong SQL and at least one programming language (Python strongly preferred)
• Experience with cloud data ecosystems (AWS/Azure/GCP) and security fundamentals, and Excellent communication skills and ability to align diverse teams around standards and measurable outcomes.

Nice To Haves

• Experience integrating operational tooling such as ServiceNow, Jira Service Management, PagerDuty/Opsgenie, Dynatrace/New Relic/Datadog, Splunk/Elastic, Prometheus/Grafana, OpenTelemetry.
• Streaming/event technologies (e.g., Kafka/Kinesis/PubSub) and real-time analytics patterns.
• Knowledge graph / topology modeling for service dependency mapping.
• Experience enabling AIOps use cases: correlation, deduplication, anomaly detection, incident prediction.
• Familiarity with FinOps or capacity/cost analytics tied to service health.
• Certifications (cloud, data, ITIL) are a plus.

Responsibilities

• Define the operational data strategy and target architecture (current-to-future state), including domains such as incidents, changes, problems, requests, alerts/events, assets/CMDB, SLOs/SLIs, capacity, and cost.
• Design data models and canonical schemas for service and operational datasets (e.g., service topology, event/alert normalization, incident timelines, change-to-incident linkage).
• Build and govern reliable pipelines that ingest and transform data from tools like ITSM, observability platforms, cloud logs/metrics/traces, CI/CD, and infrastructure systems.
• Establish data quality and trust: data contracts, lineage, validation rules, SLAs/SLOs for datasets, and operational monitoring for pipelines.
• Create "operational data products" (curated datasets, semantic layers, metrics definitions) that enable dashboards, analytics, and automation (AIOps, correlation, anomaly detection).
• Partner with stakeholders (SRE/IT Ops/Service Owners) to identify high-value use cases: incident reduction, alert noise reduction, change failure rate, capacity planning, and reliability insights.
• Implement governance and security controls for sensitive operational data (RBAC/ABAC, retention, encryption, auditability, and policy-based access).
• Set standards and reference implementations for tooling, integration patterns, and best practices across teams.
• Mentor engineers/analysts and influence roadmap decisions through architecture reviews and technical leadership.

Benefits

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.
• In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed