Senior Manager of Finance & Market Intelligence

Samsung Electronics•Plano, TX

18h

About The Position

The Senior Manager of Finance & Market Intelligence leads financial simulations and competitive analytics for Samsung Electronics America’s New Computing business, including Tablet, PC, and XR. The role partners with cross-functional leads and category and channel managers to develop financial and demand outlooks using current product, pricing, and promotional roadmaps. It manages third-party vendor and market-data relationships and builds internal models to assess category performance, promotional return on investment, and seasonality. The position identifies growth opportunities and provides actionable insights to guide category strategy and investment decisions. The role collaborates with the New Computing Partnership Lead to assess opportunities, develop business cases, and work with SEA Finance and Headquarters to secure funding. It uses quantitative analysis and clear presentations to influence strategic direction across Samsung teams. The position reports to the Head of New Computing Strategy and Operations and is based in Plano, Texas.

Requirements

Bachelor’s degree in Finance, Business Analytics, Information Systems, Data Analytics, Engineering, Economics, or a related quantitative field, and 8 or more years of experience in analytics, financial modeling, forecasting, strategy, or related quantitative work.
Ability to write, read, analyze, and interpret complex datasets and translate quantitative insights into clear, concise strategic proposals and business recommendations.
Experience working with large datasets and combining information from multiple sources to identify trends, patterns, and business opportunities.
Experience developing financial models, forecasts, simulations, or other quantitative analytical tools to support business decision-making.
Working knowledge of P&L structure and the factors that drive sell-out, margins, and net revenue, particularly in consumer electronics or retail.
Experience using AI-enabled tools, including tools such as Claude, Gemini, or ChatGPT, to support analytics, automation, reporting, forecasting, or business decision-making.
Ability to identify processes that can be improved through automation and develop or implement scalable analytical solutions.
Experience with Microsoft Office Suite and extensive use of Windows presentation software to develop customer and internal presentations.
Familiarity with retailer or carrier environments and strategies.

Nice To Haves

Master’s degree in Finance, Business, Information Systems, Data Analytics, Business Analytics, Economics, or a related quantitative field, and 4 or more years of relevant experience since obtaining the degree.
Experience with analytics and automation tools such as Alteryx, Power BI, SQL, Python, Tableau, or comparable technologies.
Experience developing and leading analytical or growth initiatives in the technology industry, including ROI analysis, forecasting, promotional effectiveness, and new product introductions.
Experience with statistical analysis, forecasting, predictive analytics, or scenario modeling.
Strategic consulting experience.

Responsibilities

Use third-party vendor research and market data to build dashboards covering purchasing trends, retailer trends, account dynamics, and other market indicators.
Monitor competitor shipping, pricing, and promotional activity and analyze competitive trends across products and technology to identify opportunities and threats.
Synthesize market and competitive findings into actionable recommendations for leadership.
Analyze promotional performance, seasonality, and financial outlooks to identify accounts, products, and weeks underperforming against benchmarks, targets, and the market.
Translate analytical findings into growth opportunities and tactics informed by historical performance and market data.
Partner with category managers across Tablet, PC, and XR to evaluate product, pricing, and promotional roadmaps against competitor activity and recommend adjustments for key drive times.
Present insights to account leads and channel managers to inform roadmap priorities.
Simulate new promotional opportunities, evaluate return on investment, and submit analyses to finance to support approval; benchmark results against third-party data to improve simulation accuracy.
Work with the New Computing Partnership Lead to evaluate opportunities with new and existing companies, research and propose partnership models, build business cases, and collaborate with cross-functional teams and Headquarters to secure funding.
Identify opportunities to incorporate AI into analytical and business processes; automate recurring data preparation, analysis, reporting, and forecasting.
Use AI and advanced analytical tools to identify patterns, anomalies, risks, and opportunities in large datasets, and validate outputs for accuracy, reliability, and appropriate use.
Provide clear, concise updates to New Computing, National Retail, cross-functional audiences, and executive leadership on sales trends, forecast outlook, promotional effectiveness, financial health, risks, and growth opportunities.