Global Head of Measurement and Optimization, Data & Tech

Location: New York

* Bachelor’s degree in Business, Computer Science, Data Science, or related field;
Master’s or advanced degree in analytics, AI, or technology management preferred.
* 8+ years of experience in data product management, analytics, or strategy, including at least 5+ years in a senior or leadership role, with solid project management experience across the full product lifecycle (strategy, roadmap, delivery, optimization).
* Proven experience leading large-scale analytics or AI initiatives, translating complex business needs into technical requirements and actionable user stories.
* Strong understanding of modern data ecosystems (e.g., Snowflake, Databricks, Azure, AWS) and analytics platforms (e.g., Power BI, Tableau, Looker), with knowledge of the marketing analytics tech and product marketplace.
* Demonstrates deep expertise in marketing mix modeling (MMM) and multi-touch attribution (MTA) to quantify channel effectiveness and optimize investment allocation.
* Possesses advanced knowledge of audience analytics, segmentation, and data enrichment techniques to identify and activate high-value customer segments.
* Expert in connecting marketing performance metrics to business outcomes, including revenue growth, brand equity, customer lifetime value (CLV), and ROI.
* Deep understanding of predictive analytics and forecasting models to guide strategic planning, budget optimization, and scenario analysis.
* Expertise in first-party data strategy and integration, leveraging CRM, CDP, and digital data to deliver personalized marketing and measure impact.
* Advanced proficiency in dashboarding, visualization, and storytelling using BI and analytics platforms.
* Deep knowledge of cross-channel performance measurement, including paid media, digital, social, email, and offline channels, with a strong understanding of media data and the end-to-end media planning and activation process.
* Working knowledge of machine learning lifecycle management (e.g., MLOps, model governance).
* Exceptional stakeholder management, storytelling, and influence skills.
* Demonstrated ability to balance strategic vision with executional excellence.
* Experience defining enterprise AI strategy or building AI-enabled products.
* Familiarity with LLMs, NLP, and generative AI use cases in business contexts.
* Knowledge of data governance, privacy, and responsible AI frameworks.. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.  Additionally, this position is eligible for discretionary incentive compensation. Benefits available with this position include:  
• Medical, vision, and dental insurance,
• 401k, Dentsu also complies with applicable state and local laws regarding pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.  For more information regarding dentsu benefits, please visit  employee leave benefits, including, but not limited to providing time off To begin the application process, please click on the “Apply” button at the top of this job posting.

Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
* At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles).

Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.*#LI-AB2
#J-18808-Ljbffr