Measurement Operations Manager

Overview

PHD are a next generation agency network. One that helps our clients outthink, outpace and outgrow the competition. We do this through a unifying vision of Intelligence. Connected, and the application of data and AI to enable a greater connectivity between our services, the experiences we create for consumers and the way we work with clients. PHD has been appointed as part of adidas’s global media agency network and is building the measurement and effectiveness function that will serve the brand across its global market structure.

The Role in a Sentence

The Measurement Operations Manager is the engine room of the adidas measurement function: the single point of contact for the data that feeds adidas’s global MMM programme, brand tracking and audit obligations, keeping every cycle, feed and deadline intact.

Responsibilities and Commitments:

Data collection: own MMM data collection across the tiered market programme, from investment specs and schemas through cadence and quality assurance, submitted to the vendor’s templates and deadlines

Delivery calendar: build and run the measurement delivery calendar spanning MMM cycles, Kantar brand tracking feeds and audit submissions across all markets and timezones

Continuity: manage the handover of data collection from the incumbent agency and protect live collection windows through the transition

Automation: lead the shift from manual data chase to automated provisioning, working with market teams, adidas data owners and the modelling vendor

Quality: maintain the data quality and known-issues log, running pre-submission sign-off so models and audits are built on clean inputs

Taxonomy: uphold taxonomy compliance in the data feeding measurement, escalating gaps before they reach a model

Audit obligations: supply total media spend across biddable and non-biddable channels, broken down by market, channel and platform, for audit sample selection

Test fielding: keep the experimentation test trackers current and coordinate logistics with markets so the tests on the learning agenda actually field

Supporting tools: maintain the shared measurement tools provided to markets, including the test trackers, reach calculator and statistical significance calculator

Core Requirements:

• A meticulous operator with experience running media or marketing data pipelines to fixed deadlines across multiple markets

• Fluency in media investment data, spanning spend, delivery and taxonomy structures across biddable and non-biddable channels

• Confident coordinating client, vendor and market stakeholders across timezones, and comfortable chasing until the data lands

• Sufficient statistical literacy to sanity-check inputs before they reach a model and to spot when a feed looks wrong