Jobs at dentsu

Implements and manages programmatic display campaigns, including account setup, reporting, optimization, creative specifications, competitive analysis, and performance recommendations. Participates in client calls, monitors industry developments, and builds strong client and internal relationships to achieve campaign targets.

Manages TV activation campaign operations, including timelines, campaign setup, trafficking, launch, optimization, billing, invoice reconciliation, reporting, partner coordination, and continuous process improvement. Provides operational support throughout the client lifecycle and leads a team supporting media delivery and client expectations.

Leads paid search campaign strategy and execution, manages client relationships, oversees account deliverables, tracks KPIs, identifies growth opportunities, and coordinates with client services and channel teams to improve campaign performance.

Leads the implementation and execution of programmatic display campaigns, manages account operations, ensures deliverables meet timelines and budgets, develops client strategies, identifies growth opportunities, and serves as the primary day-to-day client contact while coordinating with internal teams.

Manage end-to-end programmatic advertising campaigns using TTD and DV360. Responsibilities include campaign setup, creative checks, ad tag management, troubleshooting tracking discrepancies, reporting, performance analysis, and supporting client objectives. The role requires collaboration with senior and cross-functional teams, client and vendor communication, task ownership, deadline management, and adaptability across ad technology platforms and time zones.

Manage end-to-end programmatic advertising campaigns using DV360, The Trade Desk, and related platforms. Responsibilities include campaign setup, creative checks, ad tag management, discrepancy troubleshooting, tracking, reporting, performance analysis, and client communication. The role collaborates with senior and cross-functional teams, coordinates vendor meetings, supports recommendations with data, and manages deadlines across time zones and shifts.

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 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 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.

Implement and administer Salesforce Data Cloud, including identity resolution, unified profiles, calculated insights, audience segmentation, and activation. Integrate CRM, marketing, web, mobile, commerce, and loyalty data using SQL, APIs, ETL, and governance practices. Support customer journey personalization and omnichannel engagement across email, SMS, WhatsApp, push, and paid media. Build predictive audiences and AI-driven use cases for churn, cross-sell, upsell, and customer lifetime value.

Lead business transformation strategy for global clients, including major pitches, C-suite engagement, strategic narrative development, consulting frameworks, digital product discovery, user journey mapping, case studies, and proprietary intellectual property. Translate market data and technical insights into transformation roadmaps, support product and engineering teams, and help modernize operating models and grow cross-border revenue. Requires strong consulting, AI and technology literacy, product design, storytelling, marketing attribution, and financial impact measurement expertise.