Responsibilities

• Build measurement infrastructure from scratch: Design and implement queries, dashboards, and daily internal views that surface campaign performance before traditional 30–45 day post-campaign analysis. Own the infrastructure personally in the early stage.
• Define the reporting playbook: Establish what gets packaged for weekly brand-facing updates versus deeper post-campaign analysis (PCA). Set the cadence and structure that scales as the function grows.
• Drive early-stage insights: Lead two-week measurement checkpoints on qualifying campaigns, working alongside CSMs to deliver 1st-party and insight-based findings that clients can act on.
• Shape pre-sale success criteria: Partner with Sales and Strategy to ensure every campaign launches with clearly articulated, measurable success metrics that your measurement process can confidently answer against.
• Master the complete data picture: Own both first-party data (platform, organic results) and third-party data (brand lift, foot traffic, attribution) to build a holistic measurement model.
• Productize custom measurement: Build custom and complex measurement into a paid, revenue-bearing line item. Own both the capability and its commercial accountability.
• Coach and scale: Grow the measurement analyst on the team and build the systems and processes that enable a technical pod as the function matures.

Requirements

• 10+ years in marketing, media, or measurement strategy—with proven hands-on expertise in both first-party and third-party data.
• 5+ years managing and developing people, with a track record of building capability, not just running what exists.
• Fluency writing SQL and building dashboards—you're a genuine player-coach who ships code alongside strategy.
• Proven ability to build measurement from 0-to-1. You've stood up a capability from scratch before, not inherited a mature operation.
• Background in agency, adtech, martech, or measurement platforms. For Measurement: analytics or measurement leaders from adtech/martech platforms are explicitly in scope. Other SaaS backgrounds don't translate to this role.
• Automation-first mindset: You templatize and systematize rather than hand-crank reports. You'd rather invest time building reusable solutions than repeating manual work.
• Translates data into narrative: You can take complex measurement findings and tell a story that non-technical brands and CSMs can understand and act on.
• Bias to ship: You choose "useful today" over "perfect in 45 days." You're comfortable with 80% solutions that inform decisions now.
• Influences without authority: You own outcomes while the data stack lives with engineering. You know how to partner, advocate, and move things forward across functions.
• Comfortable in ambiguity: You thrive in greenfield environments where processes don't exist yet. You stay hands-on and can operate in chaos without needing a mature team around you.