Professional III(M), IMC Strategy

Samsung Electronics•Plano, TX

5d•Hybrid

About The Position

MULTIPLE POSITIONS AVAILABLE Company: Samsung Electronics America Inc. Position Title: Professional III(M), IMC Strategy Location: Plano, TX Job ID: SAM9666768 Position Responsibilities: Lead the marketing platform team to build go-to-market strategy and data intelligence capability including data engagement, segmenting and accompanying business models. Leverage heavy data analysis and data querying to understand and analyze audience and data growth business plans inclusive of investment requirements and the resulting value creation. Drive the global data studio playbook for cross-device marketing, hyper-personalization, and consumer journey analysis, and then map this data to Key Performance Indicators (KPIs). Define new approaches with channel partners (e.g., retailers) to improve data-driven collaboration for marketing strategies. Serve as the technical subject matter expert on ad campaign execution from traffic to optimization in the Samsung ecosystem. Own the end-to-end architecture and operations for the platform including application, processing and data layers using Big Data systems and tools including SQL and Python. Partner with analytics, big data and media teams to define consumer segments and creative approaches through data-driven insights. Collaborate with key stakeholders to assemble future requirements for the platform and improve operational and go-to-market execution. Leverage a strong background in consumer data and associated platforms including data management platforms (DMPs), business intelligence and data science tools, audience matching and segmentation building. Build agile processes that function as the foundation for a test/learn/scale approach for direct-to-consumer marketing touchpoints. Ensure adherence to data privacy regulations. Manage relationships with key enablement partners to drive holistic Customer Data Management (CDM) go-to-market campaigns. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, or a related field and five years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and five years of experience. Must have five years of experience in the following skill: (1) experience with data analysis tools including SQL and Python. Must have three years of experience in the following skill: (2) experience with marketing and data science platforms, data management platforms (DMPs), business intelligence, and data science tools including SQL and Python, and big data processing frameworks including Spark and Big Query. Must have two years of experience in the following skills: (3) integrating external platforms including Liveramp, Adobe, and Google; (4) audience segmentation and taxonomy strategy through implementation including data onboarding and enrichment; and (5) experience with digital marketing and retail media networks for Customer Data Management (CDM) go-to-market campaigns. Partial telecommuting permitted; employees will be required to report to office multiple days per week. Hours: Full Time, 40 hours/week. #LI-DNI Skills and Qualifications

Requirements

Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, or a related field and five years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and five years of experience.
Must have five years of experience in the following skill: (1) experience with data analysis tools including SQL and Python.
Must have three years of experience in the following skill: (2) experience with marketing and data science platforms, data management platforms (DMPs), business intelligence, and data science tools including SQL and Python, and big data processing frameworks including Spark and Big Query.
Must have two years of experience in the following skills: (3) integrating external platforms including Liveramp, Adobe, and Google; (4) audience segmentation and taxonomy strategy through implementation including data onboarding and enrichment; and (5) experience with digital marketing and retail media networks for Customer Data Management (CDM) go-to-market campaigns.

Responsibilities

Lead the marketing platform team to build go-to-market strategy and data intelligence capability including data engagement, segmenting and accompanying business models.
Leverage heavy data analysis and data querying to understand and analyze audience and data growth business plans inclusive of investment requirements and the resulting value creation.
Drive the global data studio playbook for cross-device marketing, hyper-personalization, and consumer journey analysis, and then map this data to Key Performance Indicators (KPIs).
Define new approaches with channel partners (e.g., retailers) to improve data-driven collaboration for marketing strategies.
Serve as the technical subject matter expert on ad campaign execution from traffic to optimization in the Samsung ecosystem.
Own the end-to-end architecture and operations for the platform including application, processing and data layers using Big Data systems and tools including SQL and Python.
Partner with analytics, big data and media teams to define consumer segments and creative approaches through data-driven insights.
Collaborate with key stakeholders to assemble future requirements for the platform and improve operational and go-to-market execution.
Leverage a strong background in consumer data and associated platforms including data management platforms (DMPs), business intelligence and data science tools, audience matching and segmentation building.
Build agile processes that function as the foundation for a test/learn/scale approach for direct-to-consumer marketing touchpoints.
Ensure adherence to data privacy regulations.
Manage relationships with key enablement partners to drive holistic Customer Data Management (CDM) go-to-market campaigns.