Jobs at dentsu

Lead and manage execution of Paid Social campaigns, develop strategies in partnership with clients, and ensure operational success of accounts.

Implement and execute affiliate marketing and lead-generation campaigns to meet client KPIs. Manage affiliate relationships, monitor and optimize performance, communicate results to clients, and plan both tactical and strategic campaign development.

Provides operational support for TV media campaign delivery, including campaign setup, traffic, launch, optimization, timeline coordination, budgeting, billing, invoice reconciliation, supplier discrepancy resolution, client reporting, audit support, and continuous process improvement.

This role sets the strategic direction for the Data & Analytics team, manages operations and performance, and oversees business intelligence initiatives aligning with market objectives. Responsibilities include developing business strategies, managing client relationships, and leading teams towards operational excellence.

Lead and manage the offshore Data Engineering team to design, build, and operate the Databricks Lakehouse. Own ingestion, Medallion modeling, Unity Catalog governance, Lakeflow/Delta Live Tables pipelines, data quality, and performance. Drive AI-assisted data development, enforce schema and taxonomy standards, partner with analytics and ad ops teams, and productize reusable data platform components while mentoring engineers and coordinating delivery with onshore leadership.

Manage a team of 30-40, ensuring high-quality outputs, client engagement, and efficiency. Drive quality assurance and operational excellence.

Lead technical ownership for Magnolia/CMS platform: support operations, stakeholder communication, documentation, participate in architecture boards, address security issues, improve code quality with Sonar, automate processes and CI/CD pipelines, and maintain enterprise solution and platform standards.

Lead data science strategies and insights for assigned clients. Manage multiple analytics engagements and a team, integrate and prepare datasets, apply data science methods to generate recommendations, communicate findings, and set team development objectives while staying current on industry trends.

Lead and set strategic direction for Business Intelligence, translate strategy into operational plans, manage budgets and financial performance, drive profitable growth, oversee day-to-day BI operations, and lead teams to deliver innovative, market-oriented analytics solutions.

Lead BI solution design and delivery across the full development lifecycle. Architect data layers, build data models, develop complex dashboards and ad-hoc datasets, and collaborate with DBAs, developers, data stewards and end users. Act as the reporting SME and primary client-facing contact for BI solutions.

Lead business transformation in a portfolio area by modeling current and target enterprise business models, supporting senior architects with problem analysis, applying governance and standards, and building business architecture frameworks and tools.

Lead insights and analysis for assigned clients by applying data science methods, managing multiple analytics engagements, preparing and integrating datasets, communicating findings, and developing the analytics team through training and escalation management.

Lead client-facing data science engagements by integrating and preparing datasets, applying data science methods, developing analytics code, managing delivery, mentoring analysts, and communicating insights and recommendations to clients.

Lead and manage the Data Science team delivering MMM, incrementality, RBA, and forecasting models. Oversee end-to-end model development, validation, productization, API design for agent consumption, mentor staff on Bayesian and causal methods, and coordinate with Data Architecture and Media Effectiveness teams.

Lead development and deployment of marketing measurement models (MMM, incrementality, forecasting) using Bayesian methods; partner with AI agents and engineering to operationalize agentic analytics, deliver client-ready insights, train teams, and mentor junior data scientists.

Enable project delivery by capturing and analysing business and user needs, performing impact estimation, designing business solutions with stakeholders, evaluating benefits, supporting business change and ensuring methodologies, documentation and tools are applied for successful delivery.