Director, Data Analytics & Intelligence

Director, Data, Analytics & Intelligence Job Summary

Bloom Ads is seeking a highly strategic, technically fluent, and client‑focused Director, Data & Analytics to lead the continued evolution of our data, measurement, analytics, and media intelligence capabilities.

This role will report to the SVP, Agency Integration and will provide leadership across three interconnected disciplines:

• Analytics & Insights
• Data Operations
• Media Activation & Intelligence

The Director will be responsible for building an integrated measurement ecosystem that connects media investment to business outcomes, enabling Bloom Ads and its clients to make faster, smarter, and more accountable marketing decisions.

The ideal candidate brings deep experience in agency or marketing consulting environments and understands the modern advertising measurement landscape, including Marketing Mix Modeling (MMM), closed‑loop attribution, incrementality testing, experimentation, customer journey analytics, media intelligence, and multi‑touch/user‑level measurement where appropriate.

This individual will help establish scalable frameworks for collecting, integrating, analyzing, and activating marketing data across paid media, CRM, commerce, web, app, and client‑owned data environments. The role combines strategic leadership with hands‑on analytical expertise and requires the ability to translate complex data into clear business recommendations for clients, agency leadership, account teams, and media teams.

Prior experience leading marketing analytics and measurement engagements within a marketing agency, media agency, advertising consultancy, or similar environment is required.

This is an in‑office position based in our Woodland Hills office.

• Lead and mentor a growing team of analysts and data professionals, establishing clear standards for analytical rigor, storytelling, and client impact.
• Develop and evolve Bloom Ads' enterprise analytics and measurement framework across clients, industries, and media channels.
• Lead the development and application of Marketing Mix Modeling (MMM) to quantify marketing effectiveness, identify diminishing returns, optimize channel investment, and inform scenario planning.
• Develop closed‑loop attribution frameworks that connect media exposures and engagements to downstream customer actions, including leads, sales, revenue, customer value, and other business outcomes.
• Establish measurement strategies that appropriately combine MMM, attribution, incrementality testing, experimentation, platform measurement, and business intelligence.
• Design and oversee campaign measurement, test‑and‑learn programs, geo experiments, holdout tests, A/B tests, incrementality studies, and other causal measurement approaches.
• Develop forecasting, response curves, optimization models, propensity models, segmentation approaches, and other statistical or machine‑learning applications.
• Lead customer journey, CRM, digital analytics, website, mobile, app, social media, and user‑level analyses where appropriate.
• Identify emerging analytical methodologies, technologies, and data sources that can improve client decision‑making and agency differentiation.

• Oversee the processes and infrastructure used to collect, normalize, govern, and deliver data for reporting, analytics, modeling, and activation.
• Partner with internal teams and external technology partners to improve data quality, consistency, automation, documentation, and scalability.
• Establish standardized data structures and taxonomies across media platforms, ad servers, analytics environments, CRM systems, and client data sources.
• Ensure analytics teams have reliable access to clean, timely, and well‑documented data.
• Develop quality assurance and…