Senior Manager, Advanced Media Analytics

** ABOUT UNILEVER
** With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance.

At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.

At Unilever, your career will be a unique journey, grounded in our, collaborative, and flexible working environment. Our organizational ambition centers around creating workplaces that foster equity, diversity, inclusion and belonging across all aspects of our business.

We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.
** Purpose of the Job
** Lead the advancement of measurement and activation methodologies for media and marketing, with a focus on hands-on technical execution, statistical rigor, and innovation. Drive the design and implementation of ROI analysis, experimentation, and clean room solutions to enable robust measurement and audience activation. You’ll be part of a team that believes in doing work that matters — for people and the planet.
Because here, we don’t just hire for jobs. We invite you to be part of something bigger.

** Key Responsibilities
** Serve as the primary technical expert for advanced analytics, leading the development and application of new methodologies for ROI measurement, experimentation, and audience activation.
Design and execute statistically rigorous experiments (e.g., A/B tests, multi-cell tests) to evaluate media and marketing effectiveness.
Lead the use of clean rooms and privacy-safe environments (e.g., AMC, Live Ramp, Scintilla) for data integration, measurement, and activation.
Advance the organization’s capabilities in causal inference, incrementality measurement, and advanced statistical modeling.
Collaborate with cross-functional teams (media, data engineering, marketing, external partners) to ensure analytics solutions are actionable and aligned with business objectives.
Translate complex analytics into clear, actionable insights for stakeholders.
Mentor and develop junior analytics talent, fostering a culture of technical excellence and innovation.
Works with Data Engineering (for model deployment and data integration) and Performance Analytics (for applying methodologies and interpreting results). Does not own dashboard curation or routine reporting.

** REQUIRED QUALIFICATIONS
*** Bachelor’s degree in Statistics, Mathematics, Data Science, or a related field.
* 6+ years of experience in advanced analytics, data science, or a related field.
* Deep hands-on expertise in statistical modeling, experimental design, and causal inference.
* Proficiency with Python, R, or similar analytics programming languages.
* Experience with clean room environments and privacy-safe data integration for measurement and activation.
* Demonstrated ability to design and execute robust ROI analyses and experiments.
* Strong communication skills, with the ability to translate technical findings for non-technical audiences.
** PREFERRED QUALIFICATIONS
*** Experience with media and marketing analytics in a consumer goods or digital environment.
* Familiarity with cloud data platforms (e.g., AWS, GCP, Azure) and advanced analytics tools.
* Experience with audience segmentation and activation in privacy-safe environments.
* Master’s or PhD in a quantitative discipline.
* Experience mentoring or leading analytics teams.
** Pay**:
The pay range for this position is $119,400 to $179,000. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.
** Bonus**:
This position is bonus eligible.
** Long-Term Incentive (LTI)**:
This position is LTI eligible.
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