Director, Product – Data & Insights

Job not on LinkedIn

🔥 2 hours ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $185k - $215k / year

⏰ Full Time

🔴 Lead

👔 Director

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Thermo Fisher Scientific

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1956

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

Biotechnology • Pharmaceuticals • Science

Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.

📋 Description

• Define and execute the Data & Intelligence strategy for the Insights & Customer Experience product domain. • Build and lead a Data & Intelligence Center of Excellence spanning analytics, data science, and AI enablement. • Serve as a strategic partner to Product, Engineering, Architecture, Clinical Operations, and Business leaders. • Establish data as a strategic product asset that drives customer value, operational effectiveness, and business outcomes. • Lead investigation and resolution of data quality issues, KPI discrepancies, and reporting challenges by partnering across business, product, and technology teams to identify and address root causes.

🎯 Requirements

• Bachelor's degree or equivalent and relevant formal academic / vocational qualification (Advanced degree preferred). • Previous experience in data, analytics, data science or data product leadership roles that provides the knowledge, skills, and abilities to perform the job (comparable to 10+ years’ experience). • 5+ years leading technical teams including data analysts, data scientists, or similar professionals. • Strong expertise in data modeling, data architecture, and end-to-end data flows. • Strong SQL skills and ability to independently validate, troubleshoot, and analyze complex datasets. • Experience with modern cloud data platforms, including Snowflake or equivalent technologies. • Experience establishing data quality, governance, lineage, and KPI frameworks. • Experience supporting digital products and partnering closely with Product, Engineering, and Architecture teams. • Experience enabling advanced analytics, machine learning, or AI-driven solutions.

🏖️ Benefits

• Health insurance • 401(k) matching • Paid time off • Flexible work arrangements • Professional development opportunities