Jobs at dentsu

Lead functional requirements and validation for enterprise data management solutions. Elicit and document requirements, perform data analysis, manage UAT, maintain solution documentation and data artifacts, mentor team members, and support production change management while collaborating with global stakeholders.

Lead solution architecture and technical vision for platform teams, mentor engineering leads, ensure scalable resilient microservice-based web applications, drive CI/CD and code quality, collaborate across product, security, DevOps and architecture, and shepherd solutions through governance to meet business requirements.

Designs and executes manual and automated tests (functional, regression, integration, end-to-end, API), logs and tracks defects, builds automation frameworks, coordinates with product and development, analyzes production issues, and maintains QA documentation.

Build and maintain scalable Azure and Databricks ETL/ELT pipelines using SQL and Python/PySpark. Design cloud-native data lakes, ingest/process data with ADF/ADLS, optimize data models, monitor pipeline health, troubleshoot failures, and collaborate with architects, QA, DevOps, and business teams.

Lead and scale multi-disciplinary software engineering teams delivering Promotions and Loyalty Services platforms. Own delivery quality, architecture, timelines, KPIs, risk mitigation, client/stakeholder engagement, pre-sales scoping, and people management including hiring and career development.

Lead and scale a P&L-backed analytics/AI practice delivering GenAI solutions (LLMs, orchestration, model integration) for marketing, creative, media, and commerce. Sell, design, deliver, and operationalize production AI systems, collaborate with creative and media teams, and drive business outcomes. Preferred experience with modern AI/data stacks (GCP, BigQuery, Vertex AI). Based in Bengaluru.

Provide data collection, integration, preparation, and analysis to deliver actionable insights and recommendations to clients. Develop and maintain analytics code, apply data science methods, meet project timelines, and communicate findings.

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.

Lead design and development of enterprise integration and AI-driven automation workflows using low-code and code-first platforms. Build API-led, event-driven integrations, microservices, data transformation pipelines, and secure scalable solutions. Mentor integration teams, drive architecture, ensure governance, observability, and deliver integrations across cloud services and messaging systems.

Execute and maintain operational finance processes across Order to Cash, Purchase to Pay, and Record to Report. Follow SOPs, maintain process documentation, perform error-free transaction processing, manage master data changes, engage stakeholders, escalate issues, support audits, and drive continuous process improvements.

Lead design and delivery of Salesforce Data Cloud CDP solutions: architect data models and ingestion pipelines, integrate with Marketing Cloud (MCP) and MarTech, ensure data quality, privacy compliance, performance, mentor engineers, and support audience segmentation and journey orchestration.

Lead technical design and implementation of Salesforce Marketing Cloud and Data Cloud solutions, drive integrations with CRM and AWS, optimize personalization and campaign performance, guide cross-functional teams on architecture, configuration, testing, and deployment best practices.

Lead design and development of scalable cloud data platforms and ETL/ELT pipelines across AWS/Azure/GCP. Build and optimize data warehouses/lakehouses, implement MDM and governance, support analytics/BI, mentor junior engineers, and contribute to presales PoCs and solution designs.

This role leads AEM technical excellence and innovation, providing architectural oversight and fostering high-performance teams while driving AI integration and best practices.