Jobs at Dentsu Creative

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

Provides operational support for TV media campaign delivery, including campaign setup, trafficking, launch, optimization, timelines, partner coordination, billing, invoice reconciliation, budget maintenance, reporting, audits, and client lifecycle support. The role collaborates with internal teams, external suppliers, and brand partners to ensure accurate campaign execution, resolve discrepancies, maintain quality standards, and improve delivery processes.

Lead BI and analytics strategy for the market, direct large teams and budgets, drive profitable growth, design short- and long-term business plans, ensure operational performance, upgrade service offerings, and manage client relationships.

Lead the offshore Data Engineering team to own Databricks Lakehouse architecture, ingestion, Medallion modeling, governance, and performance. Build scalable media/marketing data pipelines, drive AI-assisted development, enforce taxonomy and data quality, mentor engineers, and coordinate delivery with onshore stakeholders while productizing reusable data products.

Lead insights and analysis for assigned clients using data science methods. Manage multiple analytics engagements and the delivery team, prepare and integrate datasets, communicate findings and recommendations, stay current on industry trends, and set team development and training objectives.

Manage a team focused on delivery management, ensuring high quality outputs while enhancing client engagement and satisfaction. Drive quality assurance and operational excellence methods within the team.

Lead technical responsibilities for Magnolia/CMS and related e-commerce/cloud solutions: architecture, platform standards, CI/CD and automation, code quality (Sonar), security issue resolution, documentation, and participation in architecture governance.

Lead and set strategic direction for Business Intelligence; translate strategy into operating plans; oversee budgets and financial management; drive profitable growth, operational efficiency, service innovation, and lead the BI team.

Lead analysis, model current and future enterprise business states, support senior architects, implement business architecture frameworks, apply governance and standards, and share knowledge across governance forums to drive change.

Lead end-to-end BI projects as the solution lead: design architecture, build data models, develop complex dashboards and ad-hoc datasets, collaborate with DBAs and data stewards, and communicate with clients and stakeholders to deliver reporting solutions across SQL Server, Snowflake, BigQuery, and Redshift.

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 team through training and objectives.

Lead client-facing data science engagements: integrate and prepare datasets, apply data science methods, develop analytics code, manage project delivery, mentor analysts, and communicate insights to clients.

Lead and deliver measurement and marketing-science models (MMM, incrementality, RBA, forecasting); manage model pipelines, validate methodology, productize agentic models, mentor data scientists, coordinate with data architecture, and support GTM for analytics products.

Lead development and deployment of marketing measurement models (MMM, incrementality, forecasting) using Bayesian methods. Partner with AI Agents and Data Engineering to productionize agentic analytics, validate deployed tools, train teams, mentor juniors, and produce client-ready insights and GTM recommendations.

Drive project delivery by capturing and analysing business and user requirements, performing impact and benefits analysis, designing business solutions with stakeholders, ensuring alignment with target operating models, supporting business change, and advising on methodologies, documentation, and tools.