Sr. Manager, CA Segment Measurement & Insights Lead

Position Responsibilities:

Measurement Strategy & Frameworks

• Build and implement advanced measurement methodologies (incrementality, attribution, experimentation, MMM, cross-channel frameworks)
• Develop end-to-end measurement strategies, measurement roadmaps, and KPI standards for specific segment
• Shape how advertising teams measure marketing effectiveness across ecosystems, including AI-powered platforms

• Translate complex data into clear, compelling stories, visualizations, and executive-ready narratives
• Perform data extraction, modeling and analysis using SQL/Python and large datasets
• Generate actionable recommendations that influence segment CMO and business / marketing leaders

• Serve as the primary data, marketing measurement, and attribution advisor to senior marketing and business leaders
• Own senior-level relationships and guide digital strategy roadmap
• Partner with cross-functional teams (marketing, product, sales, engineering, IT), providing with insights and building connected marketing data products
• Represent GDM and the organization to share emerging trends and best practices in marketing intelligence
• Drive internal education, evangelizing measurement capabilities and insights frameworks.

• Lead a dedicated team of analysts and managers (often dedicated to individual lines of business)
• Manage intake and team capacity for all segment personalization use-cases and marketing measurement
• Coach on technical depth, insightfulness, and the business storytelling
• Develop talent, performance, and long term high performing team structure

• Lead the Databricks‑first marketing data architecture practice to build a scalable measurement foundation powering marketing reporting, attribution, and executive insights.
• Support Data Office building gold‑layer semantic models for funnels, journeys, and distribution analytics in partnership
• Ensure robust data contracts and high‑quality event tracking across web, app, and server‑side sources.
• Advance predictive, causal, and optimization analytics to drive marketing performance and personalization.
• Build forecasting, attribution, and optimization models (ARIMA/Prophet, MMM/MTA, budget/channel optimization) using Python and PySpark.
• Deploy feature stores and batch/streaming scoring pipelines, writing predictions back to Databricks and activation platforms like Adobe RTCDP

• 15+ years in marketing/digital analytics, BI insights, or data science with demonstrated cross-functional leadership experience.
• Deep expertise across segments-aligned domains, including digital sales, CX, Brand & Distribution, Analytics Engineering, and Python based Data Science.
• Advanced proficiency with Databricks, including SQL, PySpark, Delta Lake, Workflows, Unity Catalog) and Adobe Analytics.
• Expertise in experimentation design, attribution methodologies, incrementality, measurement, MMM, CLV and privacy aware analytics in regulated industries.
• 10 years of experience in leading analysts / BI developers / analytics engineers / data scientist, providing technical direction, mentorship, and prioritization.
• Familiarity with Adobe Analytics, Adobe Journey Optimizer and Target activation and outcome feedback loops.

• Strong data storytelling, insight synthesis, and executive-ready communication
• Stakeholder influence and change management, especially across marketing, digital engineers, and Mar Tech
• Deep experimentation mindset, measurement discipline and ROI orientation
• Demonstrated ownership, bias for action, and comfort with ambiguity.
• Analytical rigour and systems thinking across data, measurement and modeling layers.
• Analytics engineering, and Python modeling would be plus

• Driving measurable gains in conversion, retention, brand lift, and channel efficiency via effective dashboard and actionable insights
• Adoption of unified KPI frameworks and incrementality measurement for hyper personalized marketing communication
• Executive decisions informed by…