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About the Role

Play a pivotal role in transforming Intel's enterprise data ecosystem and enabling data-driven decision-making. Improve business performance by applying data analysis, governance operations, process execution, and measurement practices to complex enterprise data challenges. Serve as a key execution partner to EDGT, supporting the operationalization of enterprise data governance decisions, standards, controls, and processes across multiple data domains. Act as a bridge between business stakeholders, EDGT, domain owners, data stewards, architecture teams, platform teams, and development teams, translating governance decisions into executable actions and ensuring standards are adopted and sustained.

Responsibilities

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 that show governance progress, risks, trends, gaps, and recommended actions.
Analyze complex datasets to identify trends, risks, gaps, and opportunities that drive 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 to evaluate alignment with EDGT-approved governance standards.
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.

Requirements

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.
Master's degree in supply chain management, logistics, industrial engineering, information systems, data science, business analytics, or a related field with 2+ years of relevant experience.
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.

Skills

Data Analysis
Data Governance
Process Execution
Measurement Practices
Business Performance Improvement
Data Governance Operations
Data Governance Standards
Data Governance Controls
Data Governance Processes
JIRA
Work Tracking
Backlog Visibility
Status Reporting
Dependency Tracking
Capacity Views
Templates
Operating Rhythm Support
Data Governance Metrics
KPI Frameworks
Dashboards
Scorecards
Maturity Measures
IAO Tracking
Enterprise Transformation Tracking
Data Quality Outcomes
Stewardship Engagement
Metadata Maturity
Issue Remediation
Governance Value Realization
Executive Reporting
Risk Analysis
Trend Analysis
Gap Analysis
Opportunity Identification
Business Insights
Operational Improvements
Business Requirements Gathering
Technical Requirements Gathering
Data Specifications
Governance Requirements
Execution Plans
Fit-Gap Analysis
Readiness Assessments
Risk Assessments
Data Systems
Data Processes
Data Domains
EDGT Standards
Architecture
Tooling
Stewardship
Execution Teams
Platform Teams
Business Teams
Excel
SQL
Power BI
Python
Business Intelligence
Data Visualization
Executive-Level Performance Reporting
Master Data Management
Metadata Management
Data Lineage
Data Quality
Data Stewardship
Governance Operating Models
Product Life Cycle
Supply Chain Planning
Manufacturing Execution
Product Architecture
Planning BOM
Dependent Planning and Execution Processes
Collibra
Informatica
Confluence
SAP
LRP
Atlas
Influence Stakeholders
Structure Ambiguous Work
Drive Execution
Communicate Governance Progress

Location

US, Arizona, Phoenix
US, California, Folsom
US, California, Santa Clara
US, Oregon, Hillsboro

Work Type

Hybrid

Experience Level

Experienced Hire

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

$116,010.00-163,780.00 USD

Benefits

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits

About the Company

Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.