Jobs at dentsu

Senior Analyst responsible for accurate, detailed analytical work using advanced MS Office skills. Interact with stakeholders across levels, work collaboratively in teams, apply strong math and analytical abilities, and manage priorities and time effectively. Advertising agency or professional services experience is preferred.

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.

Lead development and deployment of marketing measurement models (MMM, incrementality, forecasting) using Bayesian methods. Collaborate with AI Agents and Data Engineering to build scalable, client-facing solutions, validate tools, train teams, produce client deliverables, and mentor junior data scientists.

Provide operational support for end-to-end campaign delivery including onboarding through offboarding, campaign setup, trafficking, launch, optimization, budget and billing support, invoice reconciliation, and creation of client performance reports. Coordinate timelines with internal and external partners and drive continuous improvement across Media Operations.

Lead and manage implementation and execution of display campaigns, act as primary client SME, ensure operational success, on-time/on-budget deliverables, develop client strategies, identify growth opportunities, and coordinate with Account Directors and channel teams.

Lead and manage a media operations team to support client lifecycle activities from onboarding to offboarding. Oversee campaign coordination, budget maintenance, billing and invoice reconciliation, SOP creation, KPI improvement, and partnership with planning brands and global operations to ensure consistent delivery and audit readiness.

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.

Lead and execute Paid Social campaign strategy and day-to-day client communication. Ensure operational success, on-time and on-budget deliverables, KPI achievement, and identify growth opportunities while collaborating with Account Directors and cross-channel teams.

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

Lead and manage customer analysis, mentor analysts, apply data science methods for insights, manage data science projects, and communicate findings.

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.

Provide operational support across the client lifecycle for TV campaigns: onboarding to offboarding, campaign setup/traffic/launch/optimization, budget maintenance, invoice approval and reconciliation, reporting, and partner coordination. Drive continuous improvement and support billing, audit, and ad hoc operational tasks.

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 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.

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