Data Infrastructure Manager
Listed on 2026-08-27
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IT/Tech
Data Analyst, Business Systems & Technology Analysis -
Business
Data Analyst, Business Systems & Technology Analysis
Position Summary
This role is not eligible for immigration sponsorship. Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems. For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States- investing over $100 billion and employing more than 20,000 people nationwide.
By integrating our large portfolio of products, services and AI technology, we’re creating smarter, sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd. To learn more, visit For the latest news, visit
Role Overview:
We are seeking a detail-oriented and technically skilled Sales Operations Manager to lead data infrastructure, analytics, and sales planning operations for the SEA B2B Display Division. This role owns end-to-end responsibility for the division's data ecosystem - including the sales data cube, Alteryx ETL workflows, Tableau reporting environment, and organizational and product mapping tables - while also driving the bi-annual quota-setting process for the entire sales organization.
The ideal candidate combines deep technical expertise with strong business acumen, serving as the primary subject matter expert for sales data governance, reporting infrastructure, and process improvement across the Data & Infrastructure team.
- Own the end-to-end bi-annual quota-setting process (H1 and H2) for the full sales organization, spanning a 2-3 month cycle per half
- Collect and validate historical sales data, headcount rosters, and business targets to build quota model inputs
- Build and run the quota allocation model; present outputs to sales leadership and Finance for review and sign-off
- Finalize rep- and team-level quota assignments, load into systems, and communicate to the sales organization
- Maintain quota documentation and audit trails in the designated quota-setting environment
- Own and maintain the B2B Display sales data cube, ensuring reliable refresh schedules, data accuracy, and performance
- Conduct regular infrastructure reviews to address technical debt, optimize cube structure, and align with evolving business needs
- Perform routine QA on data cube outputs; investigate and resolve anomalies, gaps, or refresh failures
- Lead semi-annual strategic reviews of the data architecture and propose structural improvements for the next half
- Build, maintain, and monitor all Alteryx ETL workflows supporting the Data & Infrastructure team
- Investigate and resolve workflow failures, data anomalies, and scheduling errors on a weekly basis
- Conduct monthly audits of all active workflows for performance issues, deprecated inputs, and logic drift
- Optimize high-frequency and high-impact workflows on a quarterly basis to improve stability and automation coverage
- Modify workflows to accommodate organizational changes, territory realignments, account updates, and product changes
- Administer and maintain the Tableau reporting environment, ensuring all dashboards and data connections refresh correctly
- Conduct monthly reviews of active reports for accuracy, stale data sources, and alignment with current business definitions
- Perform quarterly rationalization of the full Tableau report inventory — deprecating unused reports and consolidating overlapping views
- Develop new Tableau dashboards and visualizations in response to business requests and strategic insight initiatives
- Maintain and update sales organization mapping tables on a monthly basis to reflect headcount changes, territory realignments, and role updates
- Manage product mapping tables for new SKUs, product discontinuations, and category reclassifications
- Ensure data consistency across all downstream systems dependent on org and product mapping logic
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