ADO Quality & Governance Analyst

Descripción de la vacante

Job Summary

The ADO Quality & Governance Analyst – Senior Associate supports program delivery operations by administering and maintaining Azure Dev Ops while also owning core data quality, traceability, reporting, and self-service enablement responsibilities. The role ensures that ADO projects, boards, work item structures, permissions, and templates are configured consistently, while validating that delivery artifacts are complete, accurately linked, production-ready, and usable for governance, release readiness, quality assurance, and operational reporting.

This merged position combines platform administration with data quality execution and automation. The role will help reduce manual effort by automating quality checks, reporting outputs, training materials, and runbook creation to support more scalable self-service across delivery teams.

Responsibilities

ADO Administration & Platform Support

Data Quality, Traceability & Governance

Automation, Reporting & Quality Controls

Training, Runbooks & Self-Service Enablement

Skills And Experience

Required Skills

Preferred Skills / Differentiators

Education, Professional Experience & Qualifications

Success Measures

• Administer and configure Azure Dev Ops projects, boards, repositories, work item structures, dashboards, and standard templates.
• Manage user access, permissions, and security groups in alignment with governance standards.
• Configure and maintain work item types, fields, workflows, states, rules, and templates to support consistent delivery execution.
• Support environment setup, project onboarding, and standard configuration enforcement across delivery teams.
• Respond to ADO usage questions, operational issues, and support requests from PMO, delivery, product, quality, and release stakeholders.
• Maintain end-to-end requirements traceability across delivery artifacts within Azure Dev Ops.
• Build, maintain, and improve traceability views or matrices that align business requirements through epics, features, stories, test cases, defects, releases, and deployment readiness.
• Enforce artifact linkage standards and identify gaps, misalignments, missing fields, incomplete artifacts, or inconsistent data usage.
• Perform recurring data quality checks to validate completeness, accuracy, consistency, and auditability of delivery data.
• Support release readiness by validating traceability coverage and quality evidence prior to deployment.
• Partner with project/program managers, QA, product, release, and delivery leads to reinforce quality expectations and improve adoption of standards.
• Automate recurring quality reports, dashboards, exception views, and data health outputs to reduce manual tracking and improve transparency.
• Create and maintain reusable reporting outputs that show artifact completeness, linkage status, data quality exceptions, release readiness indicators, and trends in what is being produced.
• Develop automated or semi-automated quality checks that identify missing work item fields, broken links, incomplete test coverage, open defects, aging items, and other delivery risks.
• Recommend improvements to ADO configuration, reporting structure, and data standards based on recurring quality findings.
• Contribute to continuous improvement of traceability, reporting, quality management, and delivery governance practices.
• Build training items, job aids, and self-service guidance for delivery teams using ADO.
• Document standard work through runbooks, how-to guides, checklists, and reusable templates that support consistent execution.
• Automate or accelerate creation of recurring runbooks, process instructions, and support materials where possible.
• Support quality certification or quality-readiness activities by documenting evidence, standards, completion criteria, and repeatable validation steps.
• Help teams understand the quality expectations for artifacts produced in ADO and how those outputs support reporting, release readiness, governance, and auditability.
• Strong experience with Azure Dev Ops (ADO) administration from a delivery governance perspective, including project configuration, board setup, work item management, and template maintenance.
• Solid understanding of Agile methodologies, SDLC, release management, and hybrid delivery models.
• Experience with requirements traceability, artifact linkage, and delivery data validation.
• Ability to develop and maintain data quality reports, dashboards, exception tracking, and operational metrics.
• Ability to translate delivery standards into practical ADO configurations, reports, checklists, and user guidance.
• Strong analytical and problem-solving skills, with a high level of attention to detail and the ability to identify data quality issues and process gaps.
• Strong written and verbal communication skills, with the ability to work effectively with PMO, delivery, QA, product, and release teams.
• English proficiency at B2+ level, with the ability to communicate clearly and effectively in both written and verbal settings.
• Experience creating automated reports, dashboards, and data quality checks using Azure Dev Ops queries, dashboards, Excel, Power BI, Power Automate, or similar tools.
• Experience supporting PMO, delivery governance, release readiness, QA, or quality management activities.
• Experience developing runbooks, process documentation, training guides, operating procedures, and self-service support materials.
• Familiarity with quality certification, audit readiness, control evidence, and structured quality review processes.
• Ability to work across multiple delivery teams to improve the quality, consistency, and usability of work products generated in ADO.
• Bachelor’s degree or equivalent professional experience.
• 3–5 years of experience supporting technology delivery, PMO operations, ALM platforms, delivery governance, release readiness, quality management, or IT operations.
• Experience with Azure Dev Ops or similar Application Lifecycle Management (ALM) tools strongly preferred.
• Experience supporting delivery teams through configuration, reporting, data validation, training, documentation, or operational support.
• ADO projects, boards, and work item structures are configured consistently and aligned with delivery standards.
• Delivery artifacts are complete, traceable, properly linked, and ready for governance, reporting, release readiness, and audit purposes.
• Quality exceptions are clearly identified through recurring reports, dashboards, or automated checks.
• Training materials, runbooks, and self-service resources reduce repetitive support requests and improve user adoption.
• The organization has improved visibility into the quality, consistency, and completeness of deliverables across programs and delivery teams.