Data Architect

Intel is looking for a Data Architect to join our Corporate Planning Group Data and Analytics team, driving insights and analytics for the organization. Key Responsibilities Data Analysis: driving in-depth business data analysis to understand the origin, flow, level of detail, and meaning of data used to make decisions, identifying both process-driven and system-driven data gaps or obstacles, and recommending solutions. Data Requirements: proto-typing data/reporting solutions to bring together multiple stakeholder groups and hand off fully vetted, implementable data requirements to IT development teams. Report & Report Dataset Development: designing, documenting, and delivering innovative, configurable, highly supportable analytical reporting solutions based on standardized data definitions/practices and certified data sources established by IT. Data Quality & Governance: partnering with IT, Data Governance, and subject matter experts to create and deploy effective data quality monitors and advocate for strong data governance. Data Validation: fully leading or supporting the Test Lead in UAT execution for newly developed or enhanced data integration and reporting solutions through orchestration with IT and subject matter experts. Production Support: establishing and following stabilization/production support SLAs for reporting artifacts and for the underlying data infrastructure. Drive Data Integration and BI/reporting capabilities directly supporting program requirements. Data Architecture Strategy: providing inputs to evolve the team’s data architecture and strategy aligned with business priorities and IT guardrails. Required Qualifications Minimum qualifications: Bachelor's degree in Business Analytics, Information Systems, Supply Chain Management, or a related field with 5+ years of relevant work experience; OR a Master’s degree in the above fields with 3+ years of relevant work experience. Relevant work experience should include: Data visualization (Power BI), query languages (e.g., SQL), experience with Python, advanced SQL, Azure, Snowflake, and/or Microsoft Fabric; and working with data used for demand planning, supply planning, procurement, sales and marketing, manufacturing, finance, and/or product master data. Preferred Qualifications Experience with data modeling. Driving change through data and data solutions. Working experience in supply chain management. Track record of designing, implementing, and supporting large‑scale data and analytics solutions. Experience with AI coding assistants such as Claude, ChatGPT, or Codex in Visual Studio Code or similar IDEs, with the ability to use them to improve development speed, code quality, and engineering efficiency. Additional Candidate Attributes A drive to investigate data through both people and systems/queries to achieve comprehensive understanding. An affinity for leading in-depth conversations about data needs and usage, supporting this with active data analysis/experimentation to help teams formulate their data requirements as Intel transitions to Blue Yonder and SAP/S4 over the next several years. Willingness to effectively communicate with both technically minded IT engineers and business‑focused subject matter experts. Willingness to proactively transform information into action. Tolerance for the ambiguity that comes with supporting large business and system transformation programs. Job Information Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix; US, California, Folsom This position is not eligible for Intel’s immigration sponsorship. Posting Statement: 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. #J-18808-Ljbffr