Director, Measurement & Attribution

Consumer Edge•New York, NY

3d•$170,000 - $200,000•Remote

About The Position

Consumer Edge is hiring a Director, Measurement & Attribution to serve as the senior measurement leader for its media business. The role owns measurement of campaign sales impact using closed-loop attribution on card, bank, or SKU-level transaction data; builds incrementality methodology; and establishes trusted standards for brands and agencies. The Director works closely with the Director, Audience Solutions and Activation so campaign results can inform better audiences. The role is responsible for defining and improving sales attribution, sales lift, new-to-brand, and reach-and-frequency offerings; designing incremental sales lift measurement across digital, CTV, social, retail media, and other channels; and creating standardized client reporting and benchmarks. The Director presents findings to CPG, agency, and retailer leaders, provides actionable recommendations, evaluates feasibility and setup, supports pitches and client growth, and sets the measurement roadmap and standards. The Director also partners with Product, Engineering, and external partners and platforms to build repeatable, automated measurement pipelines; leads and develops the measurement team, initially partnering with a senior data analyst; and uses AI to automate routine analysis, quality assurance, and reporting. The role is remote in the United States, with a preference for the NY metro area and the ability to work East Coast hours.

Requirements

10+ years of experience in advertising measurement and analytics, including retail media, commerce media, or purchase-based measurement.
Experience developing and commercializing measurement solutions that demonstrate advertising effectiveness and support client acquisition, retention, and growth.
Hands-on experience with closed-loop sales attribution and sales lift measurement using card, bank, SKU-level, or comparable purchase transaction data.
Deep expertise in incrementality and causal inference.
Strong understanding of the advertising ecosystem, including DSPs, retail media networks, programmatic advertising, clean rooms, and campaign exposure data, and experience integrating measurement with partners and platforms.
Strong SQL and Python or R skills, with the ability to build and check models independently.
Credibility with senior CPG, agency, and retailer clients; ability to explain complex results clearly and set realistic expectations.
Sound judgment about what a measurement design can and cannot prove.
Experience leading or developing analysts.
Comfort using AI tools as an everyday part of the work.
A well-formed point of view on measurement best practices and the conviction to defend it with clients and internally.
Ability to work East Coast hours.

Nice To Haves

Familiarity with IAB and MRC retail media measurement guidelines and experience setting up an MRC-accredited or audited measurement process.
Familiarity with marketing mix modeling (MMM) and how it fits alongside closed-loop measurement.
Background at a CPG purchase-data company, a retail media network, or a measurement provider.

Responsibilities

Own closed-loop sales attribution and sales lift measurement using card, bank, or SKU-level transaction data, and improve coverage, rigor, and speed of delivery.
Define the measurement offering, including sales attribution, new-to-brand, and reach and frequency.
Design and launch incremental sales lift measurement with clear confidence standards, and quantify campaign impact across digital, CTV, social, retail media, and other channels, including purchases outside the platform where ads ran.
Develop standardized client deliverables, including post-campaign reports and benchmarks comparing Consumer Edge audiences with alternatives.
Present results to CPG, agency, and retailer leaders and recommend audience selection, media allocation, channel mix, campaign frequency, and future test design.
Set realistic expectations, conduct feasibility reviews before commitments, identify setup gaps, and support pitches, proposals, proof points, and client relationship growth.
Set trusted measurement standards, define privacy-safe exposure-to-purchase matching requirements, and prioritize methodologies and client-ready offerings.
Collaborate with Product, Engineering, partners, and platforms such as DSPs, clean rooms, and retailers to build a repeatable, automated measurement pipeline.
Partner with and develop a senior data analyst, and grow the team as the business scales.
Use AI to automate routine analysis, quality assurance, and reporting.