Senior Director, Media Analytics & Strategy

Fusion92 is building the future of marketing through an unparalleled, data-driven approach to solving our clients' toughest problems. We call ourselves a Marketing Transformation Partner for clients, as through a culture of curiosity, fearlessness, teamwork and leadership, we turn our expertise toward creating new paths forward where our services and technology together unlock unprecedented growth. The Senior Director, Media Analytics & Strategy leads the planning, execution, and delivery of measurement and analytics across enterprise client engagements and internal initiatives. This role carries a strong emphasis on strategic consulting, hands-on analytical rigor, team leadership, and translating complex marketing and media data into clear business intelligence that improves performance, optimizes investment, and unlocks growth.

Responsibilities

Lead analytics planning, prioritization, and day-to-day resource allocation across a portfolio of enterprise client accounts and internal initiatives; Serve as a primary client-facing analytics leader within account teams, building trusted advisor relationships with senior marketing leaders and executive stakeholders; Translate complex media, marketing, customer, and performance data into clear recommendations that connect directly to business outcomes; Develop measurement strategies and analytics roadmaps that align media investment with broader organizational priorities and growth objectives; Lead the development and execution of advanced media measurement strategies across client engagements; Apply measurement approaches including marketing mix modeling, multi-touch attribution, incrementality testing, experimentation, media effectiveness studies, customer journey analytics, audience measurement, retail media analytics, and cross-channel performance analysis; Guide optimization strategies that connect campaign and platform performance to broader customer, revenue, and business outcomes; Identify and apply practical AI and automation opportunities across analytics workflows; Partner with data science, engineering, technology, and product leadership to integrate AI into reporting, forecasting, measurement, and optimization workflows; Lead, mentor, and develop a high-performing team of analytics professionals; Collaborate closely with media, creative, strategy, data science, engineering, technology, product, and client services teams to deliver integrated, insight-driven solutions; Support new business efforts, including RFPs, pitches, proposals, and client growth opportunities, by articulating measurement strategies, analytics capabilities, and business value

Requirements

10+ years of experience in media analytics, marketing analytics, data strategy, customer intelligence, business intelligence, or a related discipline; Experience leading analytics within a marketing agency, consulting firm, media organization, or complex enterprise marketing environment; 3+ years of experience directly leading, mentoring, and developing analytics teams; Deep understanding of the media and marketing ecosystem, including measurement, attribution, experimentation, optimization, audience strategy, and cross-channel performance; Demonstrated experience advising executive stakeholders and presenting analytics, measurement strategies, and business recommendations to senior client leadership; Strong experience across several advanced measurement disciplines, including Marketing Mix Modeling, Multi-Touch Attribution, incrementality testing, experimentation, media effectiveness, digital analytics, customer analytics, retail media analytics, or audience measurement; Hands-on experience with business intelligence, analytics, reporting, and data visualization tools such as Tableau, Power BI, Looker, Salesforce Marketing Cloud Intelligence, or similar platforms; Working knowledge of SQL and experience with Python, R, or comparable analytical programming tools; Familiarity with modern cloud data environments and platforms such as Snowflake, Databricks, BigQuery, Redshift, or similar technologies; Working knowledge of data warehousing, data integration, automation, data modeling, and analytics infrastructure; Demonstrated experience applying or partnering on predictive analytics, machine learning, generative AI, and AI-enabled marketing or analytics solutions; Strong analytical judgment with the ability to evaluate data quality, understand methodological trade-offs, and move from analysis to action; Executive presence with the ability to communicate clearly, influence decisions, and build credibility with clients, team members, and senior internal stakeholders; Excellent written and verbal communication skills, including experience developing executive-level narratives, strategic presentations, and client recommendations; Comfort operating in a hands-on capacity, including direct engagement with data, dashboards, reporting platforms, analytical methodologies, and client deliverables when needed; A consultative mindset with the ability to connect analytical findings to client strategy, media investment, customer behavior, commercial outcomes, and organizational growth; The ability to balance innovation, speed, scalability, and experimentation with appropriate standards for accuracy, governance, privacy, and analytical rigor