GOC Product Owner responsible for coordinating operational needs, initiatives, process improvements, integrations, and tooling requirements within the Global Operations Center.
Responsibilities
Manage GOC operational requirements from intake through delivery, maintaining a prioritized backlog with clear requirements, user stories, acceptance criteria, and expected outcomes.
Coordinate initiatives across Infrastructure, Cloud Operations, DBA, Product, Support, Engineering, Monitoring, Incident Management, and ServiceNow teams, ensuring clear ownership and management of cross-team dependencies.
Drive delivery by tracking commitments, following up on actions, escalating blockers and risks, coordinating acceptance, and verifying that completed solutions meet the agreed operational need.
Lead continuous improvement across ServiceNow, monitoring and alerting, AIOps, incident and problem management, RCA/PIR, reporting, operational processes, runbooks, and support handoffs.
Track and communicate delivery progress, priorities, milestones, risks, dependencies, overdue actions, achievements, and decisions required to GOC and IT stakeholders.
Lead the AI Information and Intelligence team to build and manage reusable AI capabilities for underwriting and claims systems, focusing on data extraction, enrichment, and policy intelligence.
Responsibilities
Lead, coach, and develop a team of data science managers, data scientists, and AI/ML engineers.
Own the roadmap for reusable ‘find / extract / connect’ capabilities and prioritize investment for maximum reuse and value.
Direct the design, development, deployment, and ongoing improvement of production-grade AI/ML solutions.
Partner with leaders of AI Products and Decisioning and AI Product Strategy and Scale to sequence shared capabilities.
Translate lighthouse solutions into enterprise-scale platforms, defining architecture for governed AI access.
Provide L2 production support for cloud-hosted applications and platforms, monitor and troubleshoot incidents, automate operational tasks, and collaborate with SRE and Cloud COE teams to improve service reliability.
Responsibilities
Participate in complex technical issues and initiatives related to large scale applications, systems, databases, or other technical products and services
Identify opportunity for process improvements within technical support strategies and plans
Review and analyze technical queries to extract data, create standard databases, or perform limited programming to fine tune systems supporting low to medium risk technical deliverables
Present recommendations for resolving complex technical queries
Exercise independent judgment to analyze performance trends and recommend process improvements
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering or a related technical field
Senior technical leader responsible for designing, implementing, and operating the university’s enterprise Lakehouse and Data & AI platform, leading data engineering, governance, and analytics enablement initiatives.
Compensation
$133,000.00 - $148,000.00
Responsibilities
Lead design, implementation, and optimization of enterprise data engineering capabilities
Modernize data pipelines, Lakehouse architecture, and data products
Guide migration and modernization efforts including Redshift-to-Databricks transitions
Lead AI/BI dashboard and semantic model development
Implement data quality, governance, and security frameworks
Requirements
Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or related technical discipline
Nice to have: Master's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Information Technology, Computer Engineering, or related technical discipline
Nice to have: 8+ years of progressive experience in enterprise data engineering
Nice to have: Experience as Senior Data Engineer or similar senior technical role
Nice to have: Experience in enterprise data modernization, Lakehouse transformation, AI enablement
Customer Success Engineers (CSEs) are product experts, technical advisors, and customer advocates who ensure customers achieve business outcomes through tailored, end-to-end technical execution and guidance.
Compensation
$142,200.00 - $229,900.00/yr
Responsibilities
Independently capture customer’s business and risk requirements, translating them into technical requirements
Extensive knowledge of NGFW and CDSS products, with deep expertise in customer use cases and configuration
Implement custom integrations and workflows
Guide version rollouts, deliver product advisory, and manage complex technical escalations
Work closely with CISOs, CTOs, and technical teams across the world’s largest organizations
Seeking a Monitoring & Observability Strategy & Transformation Lead to provide enterprise technical thought leadership and strategic direction for the evolution of Monitoring & Observability capabilities.
Compensation
$120,000.00 - $214,350.00 USD
Responsibilities
Define enterprise Monitoring & Observability strategy, establish the future-state vision and roadmap, and lead transformation initiatives.
Establish standards and principles for metrics, logs, traces, events, synthetics, application performance, infrastructure, network, database, and end-user observability.
Lead enterprise transformation initiatives including modernization, platform consolidation, tool rationalization, integration, and adoption of emerging capabilities.
Establish an Observability Engineering and Enablement capability focused on standards, reusable patterns, automation, and self-service.
Promote Observability as Code, Infrastructure as Code, APIs, CI/CD, and automation.
Lead the delivery of mission-critical digital infrastructure supporting the Advanced Photon Source (APS), focusing on high-performance computing (HPC), networking, Linux scientific platforms, and Windows enterprise services.
Compensation
The expected hiring range for this position is $135,458.00 - $211,313.70.
Responsibilities
Managing the IT group that plans, designs, develops, supports, integrates, implements, and/or operates enterprise-wide computer systems and networks.
Implement policies, procedures, and guidelines to ensure efficient, economical, and effective IT planning, acquisition, and management.
Collaborate on the development of a strategy for the digitization of the APS IT infrastructure.
Work with Laboratory Information Technology and Argonne Cyber Security Office to ensure systems operate within Laboratory and DOE/DHS Security standards.
Acts as the Chief Information Officer for the APS.
Requirements
Bachelor’s or a master's degree in computer science
Lead strategy, engineering, and operations for United’s digital infrastructure, ensuring secure, resilient, and efficient technology services across on‑premises, hybrid cloud, and SaaS environments.
Responsibilities
Define and execute a 5‑to‑7 year strategy for secure, resilient, and efficient technology services
Oversee infrastructure engineering and operations across on‑premises data centers, hybrid cloud, and SaaS environments
Modernize service delivery through full‑stack observability, AI‑enabled operations, generative AI, and intelligent automation
Own the DT Command Center and enterprise incident and problem management
Embed Zero Trust, immutable data protection, and validated recovery capabilities into infrastructure services
Director, Data ScienceNewLiberty Mutual Insurance · Boston, US
Principal Software Engineer - ObservabilityNewSnowflake · Menlo Park, US
Managing Director - Digital Infrastructure and ReliabilityUnited Airlines, Inc.