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Director of Analytics

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $157.7k - $283.8k / year

⏰ Full Time

🔴 Lead

👔 Director

Where this job comes from

Posted on Experian's careers page, not through a job board

First seen by Remote Rocketship 2 minutes ago

Logo of Experian

Experian

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Define and own the strategy and roadmap for Experian Health's datamart, analytical tooling, and data infrastructure • Set the strategy for self-serve analytical tooling for internal teams and customers • Own data governance standards, including data quality monitoring, lineage, and definitions • Partner with Engineering, Data, and Compliance on regulatory, security, and privacy requirements such as HIPAA • Identify opportunities for AI and automation in insight generation, data quality monitoring, and governance • Build, develop, and lead a team across analytics, data platform, and tooling • Set clear priorities and OKRs • Partner with product leaders, Sales, and Client Success • Present strategy and progress to the Chief Product Officer and senior leadership • Build the business case for data commercialization and turn Experian Health data and insights into products

🎯 Requirements

• 8+ years of experience in data platform, analytics, or data product leadership • 3+ years managing a team • Experience building or scaling an enterprise datamart, data platform, or analytical tooling function • Experience with data governance, including data quality, lineage, and definition standards • Experience preparing data for AI/ML use • Experience building or supporting data commercialization or data-as-a-product initiatives • Experience with data infrastructure, pipelines, and BI/analytical tooling • Experience partnering with engineering on architecture decisions • Experience applying AI/ML to data platform or analytics problems • Healthcare, healthcare IT, or regulated-industry experience with data privacy requirements preferred • Knowledge of Epic, Meditech, or Oracle EHR data infrastructure is a plus • Bachelor's degree in a quantitative or technical field (computer science, data engineering, statistics, or related)

🏖️ Benefits

• Great compensation package and bonus plan • Medical, dental, and vision benefits • Matching 401K • Flexible work environment with remote, hybrid, or in-office options • Flexible time off including volunteer time off, vacation, sick leave, and 12 paid holidays

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