Senior Manager, AI & Data Analytics

Position Summary

Samsung Electronics America, Inc. (SEA) is seeking a Senior Manager of Data & AI Analytics to lead the organization's data and AI initiatives. This role requires a combination of technical expertise and strong leadership skills.

Data Analysis & Business Insights

• Design and execute end-to-end analyses on large, complex datasets to answer strategic business questions across consumer electronics, mobile, home appliances, eCommerce, and B2B segments
• Translate findings into clear, actionable recommendations for senior stakeholders
• Build, own, and continuously improve interactive dashboards and self-serve reporting solutions in Looker and Looker Studio
• Communicate complex analytical findings through compelling narratives and visualizations tailored to both technical and non-technical audiences including executive leadership
• Monitor, validate, and enforce data quality across analytical datasets

Data Engineering & Pipeline Development

• Design, build, and maintain scalable batch and real-time ELT/ETL data pipelines using Google Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Pub/Sub, and dbt
• Develop and maintain BigQuery datasets, tables, and data models
• Integrate structured and unstructured data from diverse sources into SEA's centralized GCP data platform
• Manage GCP data infrastructure using Terraform
• Implement data quality checks, pipeline SLA monitoring, and alerting using Cloud Monitoring and dbt tests

Data Architecture & Governance

• Design and govern the end-to-end data architecture for SEA on GCP
• Lead the design and implementation of data mesh principles at SEA using GCP Dataplex
• Own SEA's data catalog and metadata strategy using Google Data Catalog and Dataplex
• Define tagging taxonomy, lineage capture, PII classification, and business glossary standards to drive data discoverability, trust, and compliance
• Architect and enforce data security controls across the GCP stack

AI, Generative AI & Agentic Development

• Design the foundational architecture for AI and generative AI workloads on GCP
• Build and deploy AI agents and multi-agent systems using LangChain, LangGraph, and Google Agent Development Kit (ADK)
• Design and implement Retrieval-Augmented Generation (RAG) pipelines connecting BigQuery and Vertex AI Vector Search with Gemini/PaLM APIs
• Integrate Vertex AI Generative AI and Gemini APIs directly into analytics and data pipelines
• Support Data Science teams by building feature engineering pipelines, managing data feeds to Vertex AI Feature Store, maintaining model input/output schemas, and contributing to Vertex AI Pipelines for end-to-end ML workflow automation
• Apply prompt engineering best practices; develop evaluation frameworks to assess LLM output quality, agent reliability, and RAG retrieval accuracy in production environments

People Management & Global Stakeholder Navigation

• Directly manage a team of 3-4 analysts and data professionals
• Oversee and manage external contractors and vendor resources supporting data and AI initiatives
• Navigate Samsung's complex, matrixed global organization
• Act as the senior Data & AI partner for assigned SEA business lines
• Communicate data and AI strategy, progress, and outcomes clearly to audiences ranging from individual contributors to VP-level business leaders