SVP, Marketing Sciences at Mile Marker | NY, US | Rezi

SVP, Marketing Sciences at Mile Marker

SVP, Marketing Sciences

Mile Marker · NY, US

3 weeks ago

SVP, Marketing Sciences

Mile Marker · NY, US

23 days ago
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About the Role

Mile Marker is an omni-channel agency focused on accelerating growth for enterprise brands through media, creative, and data. Relay, our proprietary measurement and intelligence platform, is central to our growth strategy, powering a data flywheel that enhances campaign intelligence. We are seeking an executive leader to build and lead our Marketing Sciences practice, owning the methodology, validation, and commercial value of Relay, and driving our AI readiness and client effectiveness.

Responsibilities

  • Oversee end-to-end methodologies including MMM, incrementality testing, experimental design, geo/DMA lift, MTA, forecasting, and non-experimental causal inference.
  • Establish rigorous model validation, back-testing, and documentation frameworks.
  • Manage the calibration loop between modeled predictions and empirical experimental results.
  • Set and enforce firmwide measurement standards for marketing effectiveness claims.
  • Define Relay's output requirements for clients and internal teams.
  • Establish the commercial proposition for Relay-as-a-Service and outsourced data enrichment.
  • Validate data claims by publishing methodologies and case studies.
  • Champion AI readiness, adoption, and evolution across Mile Marker.
  • Lead, restructure, and expand an analytics organization of seven professionals.
  • Clearly delineate traditional reporting/analytics from advanced marketing science.
  • Coach, train, and upskill team members to foster a high-performing culture.
  • Translate complex mathematical outputs into strategic recommendations for non-technical executives.
  • Partner with client leads to deliver strategic insights from campaign performance data.
  • Lead the marketing science narrative in new business pitches.
  • Act as Mile Marker’s primary spokesperson on measurement through publications and speaking engagements.

Requirements

  • 12+ years of total analytics/media experience.
  • 5+ years hands-on experience in measurement methodologies.
  • 5+ years experience leading data/analytics teams.
  • Proven history of building and defending Marketing Mix Models (including Bayesian approaches, adstock/saturation transformations, Ridge regression, and out-of-sample validation).
  • Expert proficiency in SQL.
  • Expert proficiency in Python or R.
  • Familiarity with visualization/data tools (Looker, Funnel, Snowflake).
  • Familiarity with modern measurement platforms (Measured, Northbeam, Recast, Triple Whale, Prescient).
  • Experience designing incrementality frameworks (geo holdouts, conversion lift).
  • Experience with causal inference techniques (synthetic control, diff-in-diff).
  • Demonstrated experience monetizing analytical assets or productized agency data services.

Skills

  • Marketing Mix Modeling (MMM)
  • Incrementality Testing
  • Experimental Design
  • Geo/DMA Lift
  • Multi-Touch Attribution (MTA)
  • Forecasting
  • Non-experimental Causal Inference
  • Model Validation
  • Back-testing
  • Documentation Frameworks
  • Calibration
  • AI Readiness
  • SQL
  • Python
  • R
  • Looker
  • Funnel
  • Snowflake
  • Measured
  • Northbeam
  • Recast
  • Triple Whale
  • Prescient
  • Incrementality Frameworks
  • Causal Inference Techniques
  • Synthetic Control
  • Diff-in-Diff
  • Bayesian Approaches
  • Adstock/Saturation Transformations
  • Ridge Regression
  • Out-of-Sample Validation

Experience Level

  • 12+ years total analytics/media experience
  • 5+ years in measurement methodologies
  • 5+ years leading data/analytics teams

Education Level

  • Advanced degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or related)

About the Company

  • Mile Marker is an omni-channel agency that combines media, creative, and data to accelerate growth for enterprise brands.
  • Relay is our proprietary measurement and intelligence platform.