Data Infrastructure Manager

Samsung Electronics•Plano, TX

2d•Onsite

About The Position

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 Samsung.com. For the latest news, visit news.samsung.com/us. 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.

Requirements

Expert-level proficiency in Alteryx for ETL workflow development, automation, and administration
Hands-on experience administering Tableau, including data connections, extracts, and report governance
Strong understanding of OLAP/data cube architecture and management
Experience with sales quota modeling, allocation methodologies, and quota-setting processes at scale
Proficiency in SQL for querying and manipulating large datasets
Demonstrated ability to build, document, and improve business and data processes
Strong analytical and problem-solving skills with the ability to translate data into business insights
Experience maintaining master data and organizational mapping tables in a sales operations environment
Excellent communication and stakeholder management skills; comfortable presenting to sales leadership and Finance
Familiarity with BI tools (Tableau, Power BI), CRM platforms (Salesforce), and ERP systems (SAP or equivalent)
Bachelor's degree in Business, Information Systems, Data Analytics, or a related field
6+ years of experience in sales operations, data analytics, or a related role
Demonstrated experience owning data infrastructure and reporting systems in a B2B sales environment

Nice To Haves

Prior experience managing or coordinating a technical team is strongly preferred
Experience with enterprise-scale quota setting processes is a plus

Responsibilities

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
Analyze B2B Display sales performance data to surface trends, anomalies, and opportunities; translate findings into actionable insights for sales leadership
Package and present new insights via Tableau dashboards, reports, or presentations; gather stakeholder feedback and iterate
Respond to ad hoc data and analysis requests from Sales, Finance, and leadership teams
Troubleshoot data inconsistencies across reporting platforms and systems
Conduct quarterly current-state process assessments across key workflows; identify inefficiencies and produce improvement recommendations with implementation plans
Implement approved process improvements on a semi-annual basis; document new-state processes and transition to steady-state operations
Design and build new business and data processes end-to-end — from requirements gathering and workflow design through testing, documentation, and handoff
Maintain up-to-date process documentation for all workflows, mapping tables, and infrastructure components
Own and maintain daily Point-of-Sale (POS) reporting processes across retail partners
Monitor retailer reporting status and investigate data delays, gaps, or anomalies
Maintain retailer account hierarchies and manage onboarding/offboarding of reporting partners
Manage product SKU-to-material mapping within ERP systems (e.g., SAP or equivalent)
Perform exception handling and data cleansing to ensure reporting accuracy
Support historical sales data requests and lead discrepancy investigations
Respond to ad hoc reporting and analysis requests from Sales, Finance, and leadership teams
Analyze sales trends, identify patterns, and provide actionable historical sales insights
Troubleshoot data inconsistencies across multiple reporting platforms and systems
Administer and maintain data connections and integrations across reporting and business tools, including: BI/visualization platforms (e.g., Tableau, Power BI), CRM platforms (e.g., Salesforce), Project management tools (e.g., Smartsheet), Data warehouse or OLAP environments, File transfer systems (e.g., FTP/SFTP), Claims and incentive management platforms
Ensure reliable and timely data flow between all connected systems
Build, maintain, and update automated data workflows (e.g., Alteryx or equivalent ETL tools)
Modify workflows to accommodate organizational changes, territory realignments, account updates, and error corrections
Continuously improve workflow stability, efficiency, and automation coverage
Manage periodic claims reconciliation processes, validating sales data against financial records
Coordinate contract renewals and invoice settlements with third-party data and software vendors
Prepare and submit internal work orders and purchase requests as needed
Support multi-year contract renewals for enterprise tools, including cost allocation across business units or divisions
Partner with Sales Operations, Finance, IT, and external vendors to resolve data and reporting issues
Support the onboarding of new retail partners and data providers
Champion data governance best practices to ensure reporting accuracy and consistency across all business systems