Data Analyst, Enterprise Data Governance

• Support execution and adoption of enterprise-approved data governance standards, guidelines, controls, procedures, and decision frameworks
• Support Governance Operations, Platform, and JIRA activities, including work tracking, backlog visibility, status reporting, dependency tracking, capacity views, templates, and operating rhythm support
• Develop, maintain, and continuously improve data governance metrics, KPI frameworks, dashboards, scorecards, and maturity measures
• Track governance progress during IAO and ongoing enterprise transformation, including adoption of standards, data quality outcomes, stewardship engagement, metadata maturity, issue remediation, and governance value realization
• Provide executive-ready reporting and insights showing governance progress, risks, trends, gaps, and recommended actions
• Analyze complex datasets to identify trends, risks, gaps, and opportunities driving business insights and operational improvements
• Gather business and technical requirements and translate them into actionable data specifications, governance requirements, and execution plans
• Perform fit-gap analyses, readiness assessments, and risk assessments of data systems, processes, and domains
• Serve as the day-to-day bridge between EDGT, domains, architecture, tooling, stewardship, and execution teams
• Partner with domain, architecture, platform, and business teams to translate governance decisions into sustained practices and measurable outcomes
• Support EDGT operations, JIRA/work tracking, tooling roadmap coordination, capacity visibility, operating rhythm support, templates, documentation, and process orchestration
• Define, maintain, and improve governance KPIs, scorecards, maturity indicators, adoption measures, and value-realization metrics

• Bachelor's degree in a related field such as data science, information systems, supply chain, material science, industrial engineering, business analytics, or a related discipline
• 3+ years of relevant experience in data governance, data quality, data processes, business analysis, operations, and technology-enabled process improvement
• Experience analyzing complex datasets and translating insights into business recommendations
• Experience working across business and technical stakeholders to gather requirements, document processes, clarify ownership, and support execution
• Experience developing reports, dashboards, scorecards, metrics, or KPI measurements
• Experience with JIRA or similar work-management tools to track work items, owners, status, dependencies, risks, and outcomes
• Demonstrated ability to perform fit-gap analysis, readiness assessment, risk identification, or implementation support for data, process, or system changes
• Strong analytical, communication, problem-solving, organization, and follow-through skills
• Proficiency in data analysis tools such as Excel, SQL, Power BI, and Python
• Experience with business intelligence, reporting, dashboarding, data visualization, and executive-level performance reporting
• Experience developing enterprise KPI frameworks, governance scorecards, maturity models, value-realization reporting, or adoption metrics
• Familiarity with data governance, master data management, metadata management, data lineage, data quality, data stewardship, or governance operating models
• Knowledge of Intel's Product Life Cycle, supply chain planning, manufacturing execution, product architecture, planning BOM, or dependent planning and execution processes
• Familiarity with tools such as Collibra, Informatica, JIRA, Confluence, SAP, LRP, Atlas, or related governance, workflow, and enterprise data platforms
• Ability to influence stakeholders, structure ambiguous work, drive execution, and communicate governance progress in a clear, measurable, business-focused way

Demonstrates expertise in data governance, data quality, and business analysis, with a strong ability to analyze complex datasets and translate insights into actionable business recommendations. Proficient in developing governance metrics, KPI frameworks, and executive-level reporting to drive operational improvements and stakeholder engagement.

• Data Governance
• Data Quality
• KPI Framework Development
• JIRA Work Management
• Data Analysis Tools

• Data Analysis
• KPI Measurement
• Fit-Gap Analysis
• Risk Assessment
• Business Process Documentation
• Data Visualization
• Dashboard Development
• SQL
• Python
• Excel

• Analytical Skills
• Communication Skills
• Problem-Solving Skills
• Organizational Skills
• Follow-Through Skills

• Data Stewardship
• Metadata Management
• Data Lineage
• Governance Operating Models
• Business Intelligence

• JIRA
• Power BI
• Collibra
• Informatica
• Confluence
• SAP
• LRP
• Atlas