Senior Manager, HE Operations and Analytics Lead
On-sitePlano, Texas, United States
Job Summary
Lead the TV Product Marketing organization by creating and maintaining data models to size the US TV market, forecasting Samsung's overall position, and developing supply and cost simulation tools to maximize ROI. Manage a team of three analysts while establishing deep partnerships across Sales, Product Marketing, Supply Chain, and Finance to ensure predictive model integrity and operational efficiency. Continuously identify business risks, develop scenario plans for mitigation, and lead the strategic deployment of AI services across the Home Entertainment division. Monitor key performance indicators to inform executive decisions on revenue, share, and profit, while communicating weekly narratives and facilitating information flow across internal partners.
Required Qualifications
- Bachelor's Degree
- 8+ years of directly related experience
- Prior operational experience in technology, business development, and/or OEMs Sales and Marketing
- Proven track record of predictive data modeling
- Strong analytical and problem-solving skills
- Ability to schedule, prioritize, and communicate actions and results
- Diplomatic approach to solving complex problems
- Advanced user of Microsoft Excel, PowerPoint, and workflow automation programs (e.g., KNIME)
- Proficiency in business systems (SAP, Tableau, BI)
- Excellent written and oral communication skills
- Experience developing presentations
- Communicating with internal as well as the customer's executive management team
- Ability to work well under the pressure of timelines
- Sense of urgency when driving for results
- Strong teamwork
- Ability to effectively participate and motivate others working within a team environment
- Ability to take the initiative to get a project done independently as needed
- Track record of people management skills
- Career path planning
- Delivering maximum output
Desired Qualifications
- Experience leveraging AI and LLMs to automate data pipelines, enhance predictive models, and streamline operational reporting
- Prior experience with consumer electronic products
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