Measurement Operations Manager

PHD; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

PHD is seeking a Measurement Operations Manager to join adidas’s global measurement function. You will be the engine room for data that feeds the MMM programme, brand tracking, and audit obligations across markets, ensuring every cycle, feed and deadline is met.

You will own data collection, oversee delivery calendars, and drive automation while maintaining data quality and taxonomy compliance, coordinating across client, vendor and market stakeholders in multiple time zones.

Qualifications

• 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 channels.
• Confident coordinating client, vendor and market stakeholders across timezones.

Responsibilities

• Data collection: own MMM data collection across the tiered market programme, from investment specs and schemas through cadence and quality assurance, submitted to vendor templates and deadlines.
• Delivery calendar: build and run the measurement delivery calendar spanning MMM cycles, Kantar brand tracking feeds and audit submissions across markets/timezones.
• Continuity: manage handover of data collection from incumbent agency and protect live collection windows through the transition.
• Automation: lead shift from manual data chase to automated provisioning, working with market teams and data owners.
• Quality: maintain data quality and known-issues log, pre-submission sign-off for models.
• Taxonomy: uphold taxonomy compliance in data feeding measurement, escalating gaps.
• Audit obligations: supply total media spend across channels for audit sample selection.
• Test fielding: coordinate tests on learning agenda across markets.
• Supporting tools: maintain shared measurement tools, including test trackers and calculators.

Skills

Data pipelines

Media data fluency

Cross-market coordination

Statistical literacy

Job description

Job Description

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.

Agency

PHd

Job Function

Data and Analytics

Job Subfunction

Data Science and Analytics

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

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

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