Job Description Summary:
Role Summary
The Infrastructure Analyst, Process, Automation & Decision Support supports the process excellence, portfolio governance, information management, and decision-support function within Infrastructure Operations & Architecture (IO&A). Reporting to the Sr. Manager, Process, Automation & Decision Support, this role collects, organizes, validates, and analyzes operational and portfolio data so IO&A leadership can identify patterns, evaluate improvement opportunities, and manage work with greater clarity and accountability.
This role is responsible for much of the hands-on data collection, data preparation, reporting support, process mapping, backlog review, and analysis that enables the Sr. Manager to maintain the IO&A operating ledger, actively manage the Asana system-of-record portfolio, and produce decision-ready insight for leadership. The Analyst helps ensure operational work, improvement opportunities, assignments, risks, dependencies, and follow-up items are visible, current, and supported by reliable data.
The Analyst works with ServiceNow incident, request, change, and problem data; Asana portfolio and backlog information; managed services performance data; and related operational artifacts to identify recurring demand patterns, bottlenecks, rework, aging work, handoff friction, automation candidates, tooling gaps, and opportunities to simplify service delivery. The role uses analytical discipline, curiosity, and AI-augmented productivity tools to accelerate discovery, test hypotheses, summarize findings, and suggest areas for deeper investigation under the direction of the Sr. Manager.
Job Description:
Purpose
Provide the practical analytical, reporting, data-quality, and process-mapping capability required for IO&A to understand operational performance, maintain portfolio visibility, identify improvement opportunities, and support automation, AI, and tooling enhancements that improve service delivery and management confidence.
Mission
Enable IO&A to make better decisions and improve how work flows by collecting reliable data, identifying meaningful patterns, preparing actionable insights, maintaining quality in systems of record, and continuously learning how technology operations, service management, process improvement, automation, and AI can be applied to improve outcomes.
Key Responsibilities
1) Collect, Prepare, and Validate Operational and Portfolio Data
- Collect and prepare data from ServiceNow, Asana, dashboards, reports, meeting outputs, action logs, and other approved IO&A information sources.
- Validate data completeness, consistency, assumptions, and source lineage before using information for analysis, dashboards, or leadership reporting.
- Identify data-quality issues, inconsistent categorization, missing ownership, stale status updates, duplicate records, aging work, and other conditions that reduce confidence in system-of-record reporting.
2) Analyze ServiceNow Performance and Operating Patterns
- Analyze ServiceNow incident, request, change, and problem data to identify trends, recurring demand drivers, bottlenecks, aging work, handoff delays, reopen/rework patterns, SLA/KPI concerns, change outcomes, service-tower performance issues.
- Prepare recurring operational analyses, trend summaries, root-cause themes, backlog views, and data-driven observations for review by the IO&A leadership team.
- Connect operational data to practical improvement opportunities such as process changes, knowledge articles, runbook improvements, automation candidates, workflow enhancements, or clearer ownership rules.
3) Support IO&A Portfolio Governance and Asana Record Quality
- Support the Sr. Manager in maintaining the IO&A Asana portfolio by reviewing active work, backlog items, milestones, owners, dependencies, risks, due dates, and status quality.
- Help monitor adherence to portfolio data standards, intake expectations, status-reporting norms, taxonomy, ownership rules, and archival practices.
- Prepare portfolio views that help leadership understand backlog trends, aging items, priority conflicts, capacity signals, delivery risks, and enterprise-impacting dependencies.
4) Support IO&A Operating Ledger, Actions, Decisions, and Accountability Tracking
- Maintain and reconcile action logs, decision logs, assignment registers, follow-up items, risk/dependency trackers, and related operating artifacts under the direction of the Sr. Manager.
- Ensure assignments have clear owners, due dates, status, next steps, and escalation points where appropriate.
- Identify stale, unclear, or unowned items and elevate them for clarification so leadership cadences remain actionable and outcome-oriented.
5) Identify Process Improvement and Automation Opportunities
- Use trend analysis, process mapping, value-stream thinking, and service-management practices to identify waste, friction, redundant steps, manual handoffs, unnecessary rework, and opportunities to simplify service delivery.
- Document improvement opportunities with problem statements, supporting data, impacted processes, expected benefits, assumptions, candidate owners, and recommended next steps.
- Help maintain the continuous improvement backlog by preparing candidate items for prioritization, measurement, and review by the Sr. Manager and relevant service owners.
6) Use AI and Automation Tools to Augment Analysis and Insight Generation
- Use approved AI, Copilot, analytics, reporting, and automation tools to accelerate data exploration, summarize patterns, draft analysis narratives, generate hypotheses, and identify potential areas for deeper investigation.
- Suggest practical AI, workflow, reporting, dashboard, or automation opportunities that could reduce manual effort, improve consistency, speed up analysis, or simplify IO&A service delivery.
- Apply sound judgment, data validation, and human review when using AI-generated outputs; ensure recommendations are grounded in source data, operational context, and approved standards.
7) Prepare Dashboards, Reports, and Decision-Support Materials
- Build and maintain recurring reports, dashboards, scorecards, data extracts, summaries, and visuals that support operational performance review, portfolio governance, managed services oversight, and continuous improvement prioritization.
- Translate detailed data into clear findings, concise narratives, issue summaries, and recommended areas of focus for the Sr. Manager and IO&A leadership.
- Support preparation of leadership-ready materials for operating reviews, monthly service reviews, QBR inputs