Jobs at dentsu

The Operational Finance Analyst supports operational finance activities, ensures process compliance, executes deliverables, manages data changes, and engages stakeholders for continuous improvement.

Lead QA activities including creating and executing test cases, automation and API testing, logging and tracking defects, performance and stability testing, coordinating with product and development teams, and maintaining QA documentation and test frameworks.

Lead DevOps strategy and execution for large-scale, highly available systems. Design and implement CI/CD pipelines, orchestration, infrastructure-as-code, observability, security best practices, and incident troubleshooting. Mentor teams, collaborate with product leads, and drive DevOps innovation and operational health reporting across environments.

Design, build, and operate scalable batch and real-time data pipelines on GCP. Develop reusable data products, semantic models, and AI-ready datasets. Implement ETL/ELT, streaming, orchestration, monitoring, and governance. Collaborate with architects, analytics, and AI teams, support data modernization and production stability, and follow DevOps and engineering best practices.

Lead technical design, architecture, and delivery of Salesforce Commerce Cloud (SFCC) and OMS solutions. Architect SFRA/SiteGenesis implementations, design integrations with third-party systems, guide development teams, enforce best practices, troubleshoot production issues, support CI/CD and release processes, and mentor developers while ensuring security, performance, and compliance for global ecommerce.

Lead the ML roadmap and deliver production-grade ML systems: build end-to-end pipelines, establish MLOps, define evaluation and A/B testing, deploy and monitor models, and partner with product, data engineering, security and legal to ensure measurable business impact.

Manage monthly, quarterly and annual financial reporting and controls for the market/region/group. Build and lead the FR&C team, ensure timely internal and external reporting, oversee balance sheet reconciliations per group policy, lead technical accounting and adoption of new accounting standards, manage process risk and drive continuous improvement across processes.

The role involves producing podcasts and digital media, managing production workflows, coordinating with teams, and staying current with trends.

Lead collaboration on CI/CD processes, automate deployment and testing, and implement DevOps best practices in cloud environments.

Lead QA to embed quality across solution delivery: define and maintain unit tests, design telemetry pipelines, manage defects and test environments, mentor engineers, present risks to stakeholders, and lead QA for data migration and performance testing of Azure-hosted, containerized distributed systems.

Design and oversee technical architecture, define system standards, collaborate with stakeholders, guide engineering teams on implementation, ensure scalability, reliability, and alignment with business goals.

The AI Lead Engineer will design scalable AI and GenAI systems, lead complex solution designs, and ensure production-grade implementation of AI solutions without formal management.

Design clear, accurate information products (infographics, diagrams, dashboards, presentations) by structuring complex content, visualizing data, collaborating with stakeholders, and delivering polished digital and print assets on schedule.

Manage finance operations including unbilled revenue, AR collections, AP processing, vendor advances, client/vendor registration, contract custody, revenue assurance, month-end MIS and reporting, and audit coordination to ensure timely, compliant financial close and billing.

Owner of quality for solution delivery: develop and maintain unit and automated tests (Playwright/TypeScript), implement performance testing with k6, build observability/telemetry dashboards (Grafana/Prometheus/InfluxDB), ensure production-like test environments (Kubernetes/Docker/Kafka), integrate tests into Azure DevOps CI/CD, manage defects and release decisions, engage stakeholders with clear reports, and mentor engineers to raise test quality.

Owns programmatic campaign management for clients: ensures tracking and trafficking, monitors delivery, resolves technical issues, provides revenue forecasts and billing support, builds campaign proposals, combines ad-server and DSP data, and advises internal teams on programmatic strategy and best practices.

Design and document solution architectures, evaluate options for time/cost/compliance, oversee junior solution architects, ensure governance and quality of delivered solutions for internal and external clients.

Assist the team with day-to-day duties, coordinate campaigns, respond to client requests, and compile data for reports and research.

Lead architecture and delivery of Adobe Experience Platform and Adobe Journey Optimizer solutions: data ingestion, identity resolution, audience segmentation, journey orchestration, activations, governance, and platform operations while mentoring engineers and collaborating with marketing and product stakeholders.

Perform data processing and validation for large multi‑market projects using statistical tools (Quantum/Q/SPSS). Develop and maintain processing workflows, perform weighting/stacking/significance testing, coordinate with project managers/clients, and provide 24/7 operational support including night shifts and weekends. Excel skills required; VBA and specific syntax experience preferred.