VP Data Science
Role Overview
Prevalent AI is enhancing its established data science capability and is now looking for a visionary leader to
transform our products into AI-first security platforms.
The VP of Data Science will drive innovation, leverage
modern AI/ML advancements, and embed intelligent automation across our Data Fabric and Exposure
Management products —progressively reducing human intervention and increasing autonomous decision
making.
This role will set the strategic direction, scale our data science function, and work closely with Product,
Engineering and Managed Services team to deliver high-impact, production-grade AI capabilities that
differentiate Prevalent AI in the market.
This position demands a deep technical expert with a profound understanding of applied AI/ML, data science
methodologies, and scalable cloud-native architectures.
The VP of Data Science will play a pivotal role in
shaping product strategy and accelerating time to value for clients.
Full Job Posting
Skills and Experience
- Relevant and recent experience in driving AI first implementation for data driven software solutions
- Extensive experience in data science and machine learning, with a significant portion in senior
- leadership roles (e.g., VP of Data Science, Head of AI/ML)
- Proven track record of defining and executing AI/ML strategy, building and scaling data science teams,
- and delivering production-ready, impactful AI solutions in a growth-stage environment.
- Comfortable challenging teams on modelling choices and assumptions, and ensuring the appropriate
- use of classical data science and machine learning versus GenAI, rather than defaulting to GenAI for
- all use cases
- Strong architectural vision for AI/ML systems and experience with MLOps best practices for deploying
- and managing models at scale.
- Demonstrated experience setting direction for AI/ML systems built on large-scale data platforms,
- including the use of graph-based analytics and machine learning to derive contextual, relationship
- aware insights from complex and interconnected data.
- Excellent communication, presentation, and stakeholder management skills, with the ability to
- articulate complex technical concepts to diverse audiences, from technical teams to C-level executives
- and investors.
- Strong strategic thinking, problem-solving, and decision-making capabilities.
Qualifications
- Relevant and recent experience in driving AI first implementation for data driven software solutions
- Extensive experience in data science and machine learning, with a significant portion in senior
- leadership roles (e.g., VP of Data Science, Head of AI/ML)
- Proven track record of defining and executing AI/ML strategy, building and scaling data science teams,
- and delivering production-ready, impactful AI solutions in a growth-stage environment.
- Comfortable challenging teams on modelling choices and assumptions, and ensuring the appropriate
- use of classical data science and machine learning versus GenAI, rather than defaulting to GenAI for
- all use cases
- Strong architectural vision for AI/ML systems and experience with MLOps best practices for deploying
- and managing models at scale.
- Demonstrated experience setting direction for AI/ML systems built on large-scale data platforms,
- including the use of graph-based analytics and machine learning to derive contextual, relationship
- aware insights from complex and interconnected data.
- Excellent communication, presentation, and stakeholder management skills, with the ability to
- articulate complex technical concepts to diverse audiences, from technical teams to C-level executives
- and investors.
- Strong strategic thinking, problem-solving, and decision-making capabilities.
About Prevalent AI
Prevalent AI is a private cybersecurity software company providing enterprises a sovereign data fabric for exposure management.
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