Teams at dentsu

Owns business and systems analysis for initiatives from discovery through production implementation. Translates business needs into requirements, user stories, process and data flows, acceptance criteria, and test plans. Partners with product, engineering, data, QA, and stakeholders to support Scrum delivery, backlog refinement, testing, risk and dependency management, implementation readiness, and post-release validation. Independently coordinates small to medium initiatives and provides Scrum support, stakeholder alignment, documentation, and delivery updates.

Lead architecture and delivery of Salesforce Data Cloud CDP solutions: design data models and ingestion pipelines, integrate Data Cloud with Marketing Cloud and other MarTech, ensure data quality/privacy, optimize performance, mentor engineers, and support audience segmentation and journey orchestration.

Develop and maintain ETL/ELT pipelines and analytics infrastructure using Databricks, PySpark, SQL, and Python. Responsibilities include data ingestion, transformation, validation, monitoring, troubleshooting, error handling, documentation, code reviews, and collaboration with engineering, data science, and analytics teams. The role also supports cloud-native data solutions, data quality, architecture, and operational reliability.