FCS Data Analytics Platform Manager

Intel
US, Arizona, Phoenix$137k – $193kPosted 10 April 2026

Job Description

Job Details: Job Description: We are seeking an experienced and highly motivated Power BI professional with a strong STEM background to lead and manage the Power BI platform for a global Foundry Sourcing and Construction organization. This role combines technical expertise, stakeholder management, and strategic thinking to drive data-driven decision-making across the business. Key Responsibilities: 1. Platform Ownership and Delivery Management: - Own and manage the end-to-end Power BI platform across the organization - Manage communication, tasks, and delivery timelines with the Power BI development team - Prioritize backlog based on organizational goals, urgency, and business ROI - Ensure timely and high-quality delivery of analytics solutions 2. Stakeholder Management and Intake Process: - Serve as the primary point of contact (focal point) for all Power BI-related business needs - Own and manage the intake process for new requests, including requirement gathering and scoping - Translate business requirements into technical solutions and actionable development plans 3. Support and Troubleshooting5. Data and Technical Leadership: - Act as Tier 1 support for Power BI users across the organization, troubleshoot dashboards, data pipelines, and data-related issues - Resolve issues independently when possible or route effectively to the appropriate support/development teams - Design and oversee data architecture, including data models, ETL/ELT processes, and pipelines - Work with a variety of data sources (e.g., databases, APIs, cloud platforms, structured/unstructured data) - Ensure data quality, consistency, and performance optimization - Key Competencies - Strong problem-solving and troubleshooting skills - Excellent communication and stakeholder management skills - Strong ownership and accountability - Ability to balance technical depth with business needs - Strategic thinking with a focus on ROI and impact - Excellent prioritization and decision-making skills - Collaborative and cross-functional mindset Qualifications: Required qualifications: - Bachelor's degree in a STEM field (e.g., Engineering, Computer Science, Mathematics, Statistics, or similar) - 5 years of experience in data analytics, BI development, or related roles - Strong hands-on experience with Power BI (both front-end and back-end development) - Experience building and maintaining data pipelines (ETL/ELT) across multiple data sources - Proficiency in data modeling, DAX, Power Query, and performance optimization - Experience working with diverse data types (structured, semi-structured, unstructured) Preferred / Advantage: - Experience with Exensio - Experience in global organizations, preferably in sourcing, manufacturing, or construction environments - Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) - Experience with data governance and platform administration Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Arizona, Phoenix Additional Locations: Business group: Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, nation ... (truncated, view full listing at source)
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