Senior Director, Analytics

dentsu•Detroit, MI

1d•$119,000 - $172,000•Hybrid

About The Position

We are looking for a Senior Director, Analytics leader to shape the vision for media measurement and reporting across linear and digital channels—modernizing how success is defined, measured, and communicated—and to translate complex data into clear, executive-ready stories that drive action. The Senior Director, Analytics (Cross Brand) drives cross-brand alignment and delivery—data integration, measurement, streamlined reporting, and insight development—to increase the value brands realize from their media investment. This role is not tied to a single account; you will support all brands by executing cross brand initiatives, setting measurement foundations and best practices, standardizing reports and KPIs, advancing AI/automation and processes, and coordinating cross-brand onboarding, data integration, intake/request management, and partner/tool evaluation. You will lead measurement principles and best practices—providing oversight, hands-on support when needed, and consultative recommendations across people-based marketing, cross-channel measurement, MTA/MMM, addressable media, dynamic creative, closed-loop measurement, clean rooms, and advanced/predictive modeling techniques.

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

Nice To Haves

Power BI preferred
SQL and Python preferred

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