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.

Blend is seeking a Manager of Media Analytics & Insights to join our CX & MarTech 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. 

What You Will Do 

• 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 workstreams. 

• 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. 

Own Campaign Performance Analysis 

• 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. 

Generate Insights and Optimization Recommendations 

• 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 limitations 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. 

Develop Media Measurement Approaches 

• 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 that connect campaign performance analysis with causal and business-outcome measurement. 

Ensure Media Data Quality 

• Oversee the integrity, completeness, and consistency of campaign data used for reporting and analysis. 

• Identify and resolve discrepancies across media platforms, ad servers, site analytics, agency reports, and client data environments. 

• Establish quality-assurance processes for campaign naming, taxonomies, tracking parameters, KPI definitions, and reporting outputs. 

• Partner with media operations, analytics implementation, engineering, and MarTech teams to resolve tracking and data-quality issues. 

• Document analytical assumptions, known data limitations, and implications for interpretation. 

• Improve reporting and analytical processes through automation, standardization, and reusable tools. 

Partner Across Media and Marketing Teams 

• Build strong relationships with client media, marketing, brand, agency, finance, analytics, and technology stakeholders. 

• Serve as a strategic connection point among media activation teams, marketing scientists, data scientists, and business leaders. 

• Facilitate working sessions that align stakeholders on campaign objectives, measurement priorities, performance findings, and recommended actions. 

• Communicate analytical findings clearly to both technical and nontechnical audiences. 

• Constructively challenge unsupported conclusions, weak measurement assumptions, or optimization decisions that are not grounded in evidence. 

• Help clients establish more effective operating rhythms between campaign execution, performance analysis, and strategic decision-making. 

Manage and Develop Talent 

• Manage and mentor analysts and senior analysts supporting media analytics engagements. 

• Provide clear direction on analytical approaches, priorities, and expected outputs. 

• Review analyses and deliverables for technical accuracy, analytical depth, strategic relevance, and communication quality. 

• Help team members develop stronger media knowledge, analytical judgment, business acumen, and client-consulting skills. 

• Create a collaborative environment with clear accountability, constructive feedback, and opportunities for professional growth. 

• Contribute to the development of Blend’s media analytics methods, accelerators, case studies, training materials, and points of view. 

• Approximately 5–8 years of experience in media analytics, marketing analytics, digital analytics, advertising effectiveness, or a related field. 

• Experience analyzing performance across multiple media channels, such as paid search, paid social, programmatic, display, video, connected television, audio, or offline media. 

• Experience leading analytics projects and managing or mentoring analysts. 

• Strong understanding of media metrics, campaign structures, buying approaches, optimization levers, and platform reporting. 

• Demonstrated ability to move beyond descriptive reporting and develop actionable insights and recommendations. 

• Experience developing campaign measurement plans, KPI frameworks, analytical requirements, and performance reporting strategies. 

• Strong understanding of the marketing funnel and how channel objectives and KPIs differ across awareness, consideration, acquisition, and retention. 

• Familiarity with attribution, incrementality testing, experimentation, and marketing mix modeling, including the strengths and limitations of each. 

• Experience identifying and resolving campaign data, tracking, taxonomy, or reporting issues. 

• Strong client-facing communication, presentation, facilitation, and stakeholder-management skills. 

• Ability to structure ambiguous business questions into practical analytical approaches. 

• Ability to manage multiple priorities and deliver high-quality work in a consulting or client-services environment. 

• Bachelor’s degree in analytics, statistics, economics, marketing, business, mathematics, computer science, or a related field, or equivalent professional experience. 

Relevant Technical Experience 

• Media platforms such as Google Ads, Campaign Manager 360, Display & Video 360, Meta Ads Manager, LinkedIn Campaign Manager, Amazon Ads, The Trade Desk, or similar platforms 

• Ad servers, demand-side platforms, social platforms, and media-planning or buying systems 

• Adobe Analytics, Google Analytics 4, or similar digital analytics platforms 

• SQL and cloud data environments such as Snowflake, Databricks, or BigQuery 

• Data visualization platforms such as Tableau, Power BI, or Looker 

• Media data aggregation and reporting platforms 

• Experimentation, conversion-lift, brand-lift, or geo-testing methodologies 

• Marketing mix modeling, multi-touch attribution, or other marketing-effectiveness approaches 

• Python or R for advanced analysis and automation 

Deep expertise in every platform is not required. The successful candidate will have sufficient technical fluency to interrogate campaign data, guide analytical work, identify measurement risks, and collaborate effectively with media, data, and technology specialists. 

Preferred Experience 

• Consulting, media agency, advertising agency, or other client-services experience. 

• Experience leading media analytics across multiple clients, brands, markets, or business units. 

• Experience working directly with media planners, buyers, activation teams, and marketing leaders. 

• Experience integrating media-platform data with site, CRM, sales, customer, or other business-outcome data. 

• Experience evaluating audience, creative, channel, and campaign performance. 

• Experience contributing to proposals, statements of work, solution design, or account growth. 

• Experience in one or more industries such as financial services, healthcare, retail, telecommunications, travel, technology, or consumer products. 

• Familiarity with emerging uses of AI in campaign analysis, insight generation, optimization, and media operations. 

Success in this role will be demonstrated by: 

• Clients using Blend’s insights to improve campaign strategy, execution, and investment decisions. 

• Media reporting that consistently explains what happened, why it happened, and what action should be taken. 

• Recommendations that lead to measurable improvements in media effectiveness or operating efficiency. 

• Campaign measurement that is aligned to business objectives rather than limited to platform metrics. 

• Strong analytical quality and consistency across projects and team members. 

• Trusted relationships with client media, marketing, and measurement stakeholders. 

• Analysts developing stronger media expertise, analytical judgment, and consulting skills. 

• Reusable methods and capabilities that strengthen and scale Blend’s media analytics offering. 

The Profile That Will Thrive at Blend 

You understand how media campaigns are planned, activated, measured, and optimized, but you do not take platform reporting at face value. You know that producing a dashboard is not the same as generating an insight, and that identifying a correlation is not the same as proving business impact. 

You naturally ask what changed, what caused it, whether the evidence is trustworthy, and what decision the client should make as a result. You can move comfortably between campaign details, analytical methods, and executive-level business conversations. 

You provide direction without needing to perform every task yourself, maintain high standards for analytical quality, and help your team develop the judgment required to become trusted media analytics partners.