Product Manager, Measurement Experience

🏢 Vantageanalytics · 📍 Toronto - Remote · 💼 remote · ⏰ FullTime

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Position Summary & Responsibilities

Mission

As a Product Manager, Measurement Experience, you will own the end-to-end design and delivery of Vantage’s measurement and reporting surface. You will define how campaign performance data flows from retailer data pipes through our platform and into the hands of brand and agency teams — surfaced through a unified dashboard and a library of reusable, configurable reports.

This role is not about building attribution models from scratch. It is about integrating with the attribution and measurement frameworks retailers already have, consolidating data from multiple sources into a clean, consistent reporting layer, and building a platform architecture flexible enough to adapt to every retailer’s model — today and in the future. You will work closely with retailer data partners, engineering, and customer success to make measurement a competitive strength.

What You Will Own

Retailer Data Integration

Own the product definition for connecting Vantage to retailer data pipes — from API and data feed evaluation through ingestion schema design, transformation logic, and data quality monitoring.
Translate each retailer’s data model into a normalized format that serves the broader platform, with an abstraction layer that makes every new integration easier than the last.
Establish data freshness standards and reconciliation processes, and own the tooling that surfaces health issues before clients notice them.

Data Consolidation & Reporting Infrastructure

Define how data from disparate retailer sources — transaction feeds, impression logs, audience signals — is consolidated into a unified, query-ready reporting layer.
Own the reusable report and dashboard framework: the templates, filters, breakdowns, and export formats that serve the widest range of brand and agency use cases without custom work.
Work toward a system where launching a new retailer integration automatically lights up th

🎯 Candidate Preparation Guide For Vantageanalytics Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluates advanced data architecture capability, predictive modeling precision, and the ability to translate complex analytics into executive business value.

📋 Preparation Priorities (Key Areas to Clarify):

1. Building overly complex machine learning or analytics models for their own sake rather than business utility.
2. Inability to communicate technical insights simply to commercial stakeholders.
3. Sloppy data hygiene or lack of validation rigor.

✨ Recommended Role Alignment Hook:

I turn complex, unstructured data streams into crystal-clear predictive insights that directly drive bottom-line enterprise growth.

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