About Measured
Measured is the pioneer and leader of incrementality-based media measurement and optimization. Since 2017, leading brands have used our AI-powered, all-in-one platform to manage, test, plan, and optimize over $35 billion in full-funnel media investments. Measured's unique combination of automated experimentation, media mix modeling, and industry-leading expertise helps marketers prove the incremental impact of their advertising and maximize ROI with unmatched ease, accuracy, and efficiency.
The Role
This position reports to a Director, Technical Implementations, on the team that takes every new Measured client from signed contract to a fully connected, fully loaded, and QA'd data foundation — owning the entire onboarding journey from source connections through historical ingestion, normalization, and output QA. As a Senior Implementation Specialist, you will own discrete workstreams within our largest enterprise engagements and own lower-complexity client onboardings end to end. You will engage directly with client marketing and data teams to translate Measured's requirements into terms each side can act on, then owning the work through to a validated result. Just as importantly, you will act as a consultant to clients on preparing their data to meet Measured's model requirements — representing in detail how our product and models actually consume data, and using that expertise to judge where a requirement is firm because the model breaks without it, and where a practical tradeoff costs little. Knowing that difference, explaining it, and standing behind the call is central to this role.
This role suits a seasoned, genuinely client-facing implementation professional with a strong grounding in marketing and media data — someone who leads client working sessions with confidence today and is on a path toward owning full enterprise onboardings start to finish tomorrow, with a Director remaining accountable for the overall program as you build toward that.
At Measured, we equip every team member with best-in-class technology to fuel extraordinary outcomes. We expect our team to continuously evolve alongside these tools, using AI as a partner for momentum and innovation — raising the bar on everything we build. Our people own the final voice, judgment, and accountability behind every deliverable.
Key Responsibilities
Onboarding Delivery & Workstream Ownership
• Own named workstreams within enterprise onboardings (source connections, historical ingestion, normalization specs, QA) under a Director, or own end-to-end onboarding for lower-complexity clients from kickoff through dashboard-ready output
• Build and maintain a shared delivery plan for your workstreams — dependencies, owners, dates, blockers — and drive them to committed go-live dates while running several concurrent onboardings without dropping threads
• Surface scope, data-quality, and timeline risk early, with a recommendation attached rather than just a flag
Data Requirements Consultancy & Model Readiness
• Act as the client's consultant on preparing data to meet Measured's model requirements — advising on structure, granularity, historical depth, and field-level detail so gaps are designed out rather than discovered at QA
• Distinguish firm requirements from acceptable tradeoffs, make and defend those calls in the moment with a clear account of what's gained and given up, and push back on requests that would compromise model integrity by offering a workable alternative
• Judge whether a client data limitation is a genuine blocker or manageable caveat and set expectations before go-live; escalate precedent-setting tradeoffs to your Director with a recommendation
Data Source Connection & Historical Ingestion
• Scope each client's required feeds (media/vendor cost, transaction/source-of-truth, organic, custom), determine the right ingestion method, and stand up connections across APIs, file-based feeds, warehouse shares, and direct integrations
• Land the full history each feed requires — not just go-forward — and prove completeness against the client's own reporting
• Diagnose ingestion failures (auth, schema drift, partial files, delivery gaps, silent upstream changes), partner with client-side engineers and vendors to resolve them, and establish monitoring so feeds stay healthy post-go-live
Data Normalization & Specification
• Author and maintain the specification layers mapping raw client data into Measured's normalized model, translating inconsistent naming and taxonomy into structured, rules-driven mappings
• Assess every spec change for downstream impact before it goes live, and balance client-specific accuracy against patterns reusable across the book of business
• Document mapping logic and the reasoning behind judgment calls so the next person can maintain it
QA & Output Validation
• Own QA for your workstreams — the data isn't done until it ties out against client source-of-truth, vendor exports, and upstream feed tables
• Validate outputs against client reporting and vendor exports (e.g. Meta, Google Ads, DV360) — using SQL and dashboards as tools — to catch anomalies, quantify variance, and isolate root cause
• Define and document acceptance criteria, and sign off with a written statement of coverage, known gaps, and caveats
Client Partnership & Communication
• Serve as a credible, trusted technical presence for client stakeholders across marketing, analytics, and data engineering, representing Measured with polish in front of enterprise stakeholders, including in difficult conversations
• Independently lead client-facing working sessions (discovery, spec reviews, QA walkthroughs, go-live readiness), translating technical requirements into terms marketers can act on and vice versa
• Manage client expectations on timelines and dependencies with transparency, and gather/synthesize client feedback to inform product and onboarding improvements
Subject Matter Expertise & Technical Depth
• Develop deep expe