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Executive Director, Analytics Engineering

Lifelancer•United States•🌍 Remote
Full-timeSenior
$237K - $439K
per year
👁️ 0 views•📝 0 applications•Posted 8/30/2026•Expires 10/29/2026
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Job Description

Job Title: Executive Director, Analytics Engineering Job Location: Remote Position (USA), Remote, US, US Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job ID REQ-10086603 Aug 24, 2026 USA Summary The ED, Analytics Engineering will collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making.

We are seeking a visionary and pragmatic leader to build and institutionalize the foundation for analytics at scale. This role will architect the systems, standards, and capabilities that enable high-quality, consistent, and scalable analytics across our organization.

By defining frameworks, ensuring rigor, and connecting cross-functional efforts, this leader will make analytics a repeatable, trusted, and efficient enterprise capability. This position can be based remotely anywhere in the U. S. Please note that this role would not provide relocation as a result.

The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager.

About the Role

Key Responsibilities: Establish and champion analytics rigor, including statistical standards, validation protocols, and QA practices. Define enterprise-wide frameworks for measurement, performance metrics, and reporting standards.

Enable cross-functional synergy by connecting analytics efforts across Commercial, Medical, Market Access, and other domains. Institutionalize analytics engineering as a core discipline, including reusability of data pipelines, analytics automation, and production-grade analytics solutions.

Develop scalable capabilities that allow solutions to be transferred across use cases quickly and effectively. Support governance and compliance, ensuring analytical outputs meet regulatory and ethical standards.

Essential Requirements: Bachelor's or master’s degree in business administration, Computer Science, Engineering, or a related field. 10+ years of experience in data/analytic

Required Skills

data analyticsstatistical standardsvalidation protocolsQA practicesperformance metricsreporting standardsdata pipelinesanalytics automationproduction-grade analyticsgovernancecompliancebusiness administrationComputer ScienceEngineering

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