Manager, Media Analytics & Insights

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.

Blend is seeking a Manager of Media Analytics & Insights to join our CX & Mar Tech function. This person will lead the analysis and interpretation of paid, owned, and earned media performance, helping clients understand what happened, why it happened, and what actions they should take next.

The Manager will serve as a strategic analytics partner to client media, marketing, and measurement teams. You will oversee campaign reporting, performance diagnostics, test-and-learn analysis, and the development of actionable recommendations across channels including paid search, paid social, programmatic, display, video, connected television, and other digital and offline media.

This is not simply a reporting role. The Manager will be responsible for transforming fragmented campaign, audience, creative, and business data into clear insights that improve media strategy, optimization, and investment decisions.

You will lead client engagements, manage and develop analysts, establish standards for media analytics delivery, and help strengthen Blend’s broader media analytics and measurement capabilities.

Lead media analytics projects from initial business question through analysis, insight development, and client activation.

Translate client objectives and campaign strategies into measurement plans, analytical requirements, and prioritized work streams.

Serve as a primary analytics partner to client media, marketing, agency, and measurement stakeholders.

Manage project scope, timelines, risks, dependencies, and stakeholder expectations across one or more engagements.

Ensure that media analytics deliverables are accurate, strategically relevant, and connected to clear business decisions.

Identify opportunities to expand client relationships by connecting campaign analysis to broader measurement, customer analytics, and marketing technology needs.

Oversee recurring and ad hoc analysis of media campaigns across paid search, paid social, programmatic, display, online video, connected television, audio, direct partnerships, and offline channels.

Develop weekly, monthly, quarterly, and campaign-level performance narratives that clearly explain what happened, why performance changed, and what should happen next.

Diagnose performance shifts using channel, campaign, audience, placement, publisher, geography, device, funnel-stage, and creative-level analysis.

Evaluate media performance against campaign objectives, benchmarks, forecasts, and historical trends.

Identify emerging opportunities, performance risks, and inefficient investment before they become material issues.

Distinguish meaningful performance signals from normal variation, tracking issues, or misleading platform-reported results.

Translate complex campaign data into clear, actionable recommendations for media planners, channel owners, marketers, and executives.

Identify opportunities to improve budget allocation, audience strategy, channel mix, creative performance, frequency management, and campaign execution.

Partner with media teams to develop and evaluate optimization hypotheses.

Assess whether optimization decisions are supported by sufficient evidence and clearly communicate limitation or uncertainty.

Track whether recommendations were implemented and evaluate their subsequent impact.

Connect media metrics such as impressions, reach, engagement, traffic, and conversions to broader customer and business outcomes.

Build measurement frameworks and KPI structures aligned to campaign strategy, audience objectives, and business goals.

Define success metrics and evaluation approaches for awareness, consideration, acquisition, engagement, conversion, and retention campaigns.

Develop campaign learning agendas that establish the questions each campaign or test is expected to answer.

Support test-and-learn programs by defining hypotheses, success criteria, test designs, and analytical readouts.

Guide the interpretation of A/B tests, platform lift studies, geo experiments, audience tests, and creative tests.

Help clients understand the appropriate roles and limitations of platform reporting, attribution, incrementality testing, marketing mix modeling, and other measurement approaches.

Partner with data science and measurement teams on integrated solutions…