Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities.

JOB DESCRIPTION

Strider is looking for a Data Science Manager to lead a team of 5–10 data scientists in building and scaling AI-driven capabilities that sit at the core of our products. This team’s work is fundamental to Strider’s strategy: creating repeatable data services that power multiple product lines, accelerating delivery through strategic use of AI, and grounding everything we build in objective, measurable impact.
Your team will own some of the most complex technical challenges at Strider—particularly, but not limited to, entity resolution of people and organizations. You’ll be responsible for both the how and the what: delivering high-quality models and services, and creating the processes, priorities, and culture that make it possible.

What You Will Do

• Build and shape reusable data services with one-to-many applications across Strider’s current and future products.
• Drive the adoption of AI as an accelerant across data science workstreams—automating where possible, scaling intelligently, and pushing for smarter iteration velocity.
• Lead a team to deliver measurable, consistent progress against long-term projects—balancing innovation with velocity and quality.
• Collaborate cross-functionally with Engineering, Product, and Intelligence teams to scope high-impact work and align data science contributions with broader company goals.
• Build a culture of metric-driven decision-making, setting clear KPIs for every project and using data to evaluate progress, impact, and resourcing needs.
• Serve as a people leader, developer, and technical mentor—developing talent, guiding architecture, and helping your team navigate ambiguity.
• Stay close to the work: help unblock complex problems, review model assumptions, and challenge the team to raise the bar continuously.
• Help shape the data science strategy, contributing to the long-term vision of the team and continuously improving how we work.

• Build and shape reusable data services with one-to-many applications across Strider’s current and future products.
• Drive the adoption of AI as an accelerant across data science workstreams—automating where possible, scaling intelligently, and pushing for smarter iteration velocity.
• Lead a team to deliver measurable, consistent progress against long-term projects—balancing innovation with velocity and quality.
• Collaborate cross-functionally with Engineering, Product, and Intelligence teams to scope high-impact work and align data science contributions with broader company goals.
• Build a culture of metric-driven decision-making, setting clear KPIs for every project and using data to evaluate progress, impact, and resourcing needs.
• Serve as a people leader, developer, and technical mentor—developing talent, guiding architecture, and helping your team navigate ambiguity.
• Stay close to the work: help unblock complex problems, review model assumptions, and challenge the team to raise the bar continuously.
• Help shape the data science strategy, contributing to the long-term vision of the team and continuously improving how we work