The Customer Data Strategist partners closely with subject matter experts, marketing, sales, and technical stakeholders, advancing customer, account, and audience data capabilities across the marketing technology ecosystem. This role requires both functional marketing knowledge and technical data expertise, with hands-on experience across marketing data platforms and orchestration tools. The ideal candidate combines a deep expertise in marketing data, customer identity, account intelligence, and journeys with the ability to translate business objectives into scalable data solutions. They understand the end-to-end customer data lifecycle - from acquisition and enrichment to identity resolution, segmentation, activation, and measurement – and can effectively navigate both strategic planning and hands-on execution. This role requires a well-rounded data strategist who can operate across multiple domains while maintaining clear boundaries, governance standards, and long-term vision. Customer & Account Data Strategy: Partner across organizations to maintain customer, account, contact, and profile data, inclusive of data quality standards, governance frameworks, and operational processes. This includes driving alignment across stakeholders to ensure consistent customer and account usage and definitions. Contact & Account Intelligence: Work across platforms including 6sense, SAP CDP, Marketo, Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), Adobe Customer Journey Analytics (CJA), and MDL (Databricks) to assist with account-to-contact matching methodologies and ensure consistent customer and account definitions across platforms. Help maintain data models and schemas, and ensure data is consistently represented. Lead Capture & Form Strategy: Connect the dots between data initiatives to maximize the customer experience and the data collection needs to progress contacts for data acquisition. Drive improvements in data collection quality and downstream usability. Data Analysis: Analyze customer data to support testing, optimization, and data-driven decision-making. Monitor key data health metrics and champion continuous improvement.
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Job Type
Full-time
Career Level
Senior