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Testing & Validation Lead

Blend360

RemoteColumbia, MDFull TimeSenior
Sign in to applyVerified 52m ago
Location
Columbia, MD
Employment
Full Time
Work model
Remote
Level
Senior
Posted
56m ago

About this role

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com .

Job Description

Blend360 is looking for a Senior Manager, Intelligence Measurement & Validation to own the end-to-end testing program that demonstrates the value and effectiveness of a large-scale data monetization program. This role sits at the intersection of marketing measurement, data science, and data engineering, turning complex testing and analysis into clear, defensible evidence that helps our partners understand the impact of the program. You’ll own the full testing lifecycle—from defining the methodology and designing the test, through execution, analysis, documentation, and ultimately translating the results into partner-ready insights. You’ll lead backtests against historical campaign data, match-rate and audience coverage testing, and custom analyses designed to evaluate lift, correlation, calibration, and other measures of intelligence quality. This is a role for someone who is comfortable getting into the details of the analysis while also stepping back to understand the bigger picture, identify what the results actually mean, and communicate those findings clearly to both technical and business audiences. You’ll work closely with our Data Science and Data Engineering teams to translate test designs into rigorous analyses and ensure the underlying data and methodology stand up to scrutiny. Just as importantly, you’ll be responsible for turning those analyses into a compelling, defensible story—one that can be shared with partners and used internally to demonstrate the value of the program. What You’ll Do Own the end-to-end testing and validation lifecycle, including methodology, test design, documentation, execution, analysis, and readouts. Develop and maintain testing methodologies for backtesting, match-rate and audience coverage testing, lift/holdout testing, and other validation approaches. Lead the development of automation for testing methodologies in order to scale frequency of testing and improved consistency Run tests and ad-hoc analyses within clean rooms, but owned and operated clean room and partner clean rooms Run backtests that validate program intelligence against partners’ historical campaign and audience data. Design and execute match tests to measure household match rates, audience coverage, and data quality. Develop custom partner analyses, including correlation, lift, calibration, and other measurement approaches based on specific business questions. Partner closely with Data Science and Data Engineering to translate test designs into executable analyses and ensure results are methodologically sound. Analyze results and determine what the data can—and cannot—support, developing defensible conclusions and clear recommendations for next steps. Translate complex analytical findings into concise, compelling partner-facing presentations and internal executive readouts. Build and maintain clear documentation of testing methodologies, assumptions, processes, and results. Identify opportunities to improve the testing framework, increase repeatability, and strengthen the evidence supporting the program's intelligence value proposition. Serve as a subject-matter expert and thought partner across Marketing Measurement, Data Science, and Data Engineering.

Qualifications

5–7+ years of

Listing verified 52m ago. Applications go through the company's official careers site.

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