Responsibilities

• Lead and mentor teams—create clarity, remove barriers, and develop talent through coaching and best-practice enablement
• Leader in AI-enabled report automation—partnering with teams to streamline recurring reporting, improve speed/quality, and advance analytics capabilities
• Entrepreneurial, curious mindset—takes smart risks, challenges the status quo, and drives continuous improvement
• Executive communication and storytelling—translates data into clear, credible, actionable recommendations (written and verbal)
• Anticipates and solves problems—identifies root causes, mitigates risks, and knows when/how to escalate
• Partner with senior stakeholders across brands, business units, and clients to define priorities, success metrics, and a scalable measurement approach
• Set and drive the cross-brand analytics roadmap (tools, methods, and operating model) to optimize media performance and key marketing outcomes
• Own reporting governance (standards, access, maintenance, troubleshooting, deployment) to ensure consistent, reliable reporting across brands
• Own cross-brand intake/triage and support (data issues, access, how-tos, enhancements); prioritize work and manage escalations
• Lead cross-brand communication—align teams on POVs, risks, dependencies, decisions, timelines, and deliverable quality
• Lead strategic projects and advanced analytics/integrated data solutions (e.g., cross-channel measurement, addressable, predictive modeling) and ensure they can be operationalized
• Drive test-and-learn Initiatives (measurement plans, test design, interpretation) to answer key business questions quickly
• Evaluate new tools/technologies, define fit within the analytics stack, and guide adoption via documentation, training, and change management
• Prepare and deliver executive-level presentations/readouts for internal and external stakeholders
• Champion a data-driven culture; stay current on media, measurement (including privacy changes), and technological trends

Requirements

• Bachelor’s degree required; master’s preferred (analytics, data science, computer science, marketing/advertising, business, engineering, or applied statistics/mathematics)
• 8+ years in analytics supporting digital media and/or marketing measurement (progressive responsibility)
• 4+ years people management experience (direct leadership and/or leading managers) preferred
• Advanced knowledge of digital media analytics, measurement frameworks, and dashboard/data visualization tools
• Working knowledge of statistics and experimentation (A/B, MVT; sample sizing; significance; regression/forecasting; lift analysis)
• Ability to integrate data sources, assess data quality, and apply data to activation, measurement, and strategic decisioning
• Proven cross-functional technical project leadership; aligns stakeholders (technology, creative, UX, media planning/investment, programmatic) to client priorities
• Client-facing leadership: translates complex insights into clear, executive-ready recommendations; leads readouts and working sessions
• Comfort shaping and supporting business development tied to AI/ML, automation, and advanced analytics opportunities
• Ad tech and analytics platforms experience (e.g., CM360, Adobe Analytics, social platform analytics)
• Advanced Excel and PowerPoint; MS Office proficiency
• Experience with AI tools (e.g., Copilot, Claude, Gemini) and automation
• Power BI preferred; SQL and Python preferred

Preferred

• Master’s degree preferred (analytics, data science, computer science, marketing/advertising, business, engineering, or applied statistics/mathematics)

Benefits

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.