Measurement Lead, Marketing Science

Who We Are:

Power Digital is an AI-Native Growth Firm built at the intersection of world-class talent and proprietary technology. We help leading and emerging brands grow by combining deep vertical expertise, strategic thinking, and enterprise intelligence to drive measurable business outcomes.

For more than a decade, we have built our business around one belief: the best technology makes great people better. Our teams of strategists, creatives, analysts, and technologists use Omega, our AI operating system, to surface opportunities faster, investigate what is driving performance, and execute approved work with greater speed and precision. Behind Omega is Iris, our proprietary intelligence layer, built on years of real performance data, strategic frameworks, testing, and learnings from across our client portfolio. AI expands the capacity of our people to think, create, solve harder problems, and make better decisions. Human judgment, creativity, and accountability remain central to how we work.

As a people-first firm, we value diversity in backgrounds and experiences. We strongly believe our people and culture are key to our success. We partner closely with our clients as an extension of their teams, working across strategy, execution, and measurement to identify what is truly blocking growth and determine what to do next. Our culture is built on people who are curious, ambitious, accountable, and committed to delivering meaningful results for our clients and for one another.

At Power Digital, we believe the future belongs to teams that combine the best talent with the best technology. We are building that future today.

A day in the life:

The ideal candidate will have a strong understanding of modern measurement, incrementality, statistics, data analysis, and reporting, and the ability to communicate effectively with clients. In this role, you will be responsible for managing and recommending the best modern measurement strategies for clients’ marketing campaigns, including Statistical Modeling, experiment design for incremental impact, customer analysis, and attribution-based measurement. You’ll also be providing strategic guidance to clients and internal teams, managing the relationship for your book of business, and maintaining a high sentiment of Power Digital measurement clients.

Responsibilities:

Manage overall measurement strategy for a book of clients, including statistical modeling (MMM), incrementality experiment design (MMT), and customer analysis.

Utilize large amounts of data to identify meaningful performance insights or opportunities for improvement using R, SQL, and Python.

Work closely with account teams and clients to develop and maintain long-term strategic relationships, ensuring their satisfaction and success with Power Digital’s services, especially Measurement.

Clearly and succinctly present and explain advanced measurement methodologies and models to internal and external teams.

Ensure that insights are actionable and tied to client business goals.

Provide strategic advice and "so what" insights for ongoing measurement optimization.

Mentor and develop Measurement Analysts by providing ongoing performance coaching and guidance on advanced analytics, problem-solving, and insight storytelling to elevate analytical rigor, quality of deliverables, and overall client impact.

Consistently drive efficiencies within the current measurement and marketing science processes

Employ AI technologies to increase efficiency and support the optimization of deliverables and/or processes

Utilize and leverage Power Digital's Nova ecosystem as it relates to your department

Role Requirements:

Bachelor's degree in Marketing, Business Administration, or a related field.

6+ years of experience in Marketing Analytics and Measurement.

3+ years of agency experience.

Strong business acumen, with the ability to translate quantitative data into actionable business insights and recommendations, especially related to applying outputs of statistical models and market experiments to marketing strategies.

Proficiency in R, Python, and SQL.