Principal Product Manager – Data Science & Machine Learning

Vista Global; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading company in private aviation is looking for a Principal Product Manager specializing in Data Science & Machine Learning. This strategic role involves driving AI/ML product vision and execution, collaborating with cross-functional teams to enhance user experience and business outcomes. The ideal candidate will have extensive experience in product management, particularly in AI/ML, and a strong analytical mindset.

Qualifications

• 8+ years of experience in product management, with at least 3 years focused on AI/ML.
• Strong understanding of machine learning concepts and data pipelines.

Responsibilities

• Define and own the product vision, strategy, and roadmap for AI/ML initiatives.
• Collaborate with engineering and data science teams to develop scalable models.

Skills

Analytical

Problem Solving

Communication

Education

Bachelor’s degree in business, computer science, engineering

MBA or relevant advanced degree

Tools

AWS

GCP

Azure

Job description

Job Profile

We are seeking a highly experienced and strategic Principal Product Manager – Data Science & Machine Learning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machine learning solutions that enhance user experience and drive business impact.

Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista’s end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech’s mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. In achieving this, Vista Tech always ensures the utmost safety and efficiency for FLIGHT CREW, EMPLOYEES and Members, while fostering a culture of innovation and excellence.

Your Responsibilities

• Define and own the product vision, strategy, and roadmap for machine learning and data science initiatives.
• Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models.
• Identify customer and business problems that can be addressed through AI/ML solutions.
• Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities.
• Drive experimentation, A/B testing, and iterative improvements to optimize model performance and product outcomes.
• Partner with engineering teams to ensure seamless integration of machine learning models into production environments.
• Develop success metrics and monitor the impact of machine learning initiatives on key business KPIs.
• Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products.
• Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities.

Required Skills, Qualifications, and Experience

• Bachelor’s degree in business, computer science, engineering, or a related field; MBA or relevant advanced degree is a plus.
• 8+ years of experience in product management, with at least 3 years focused on AI/ML or data science products.
• Strong understanding of machine learning concepts, data pipelines, and AI-driven applications.
• Experience working closely with data science and engineering teams to bring ML models to production.
• Proven ability to manage complex, technical projects with multiple stakeholders.
• Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
• Excellent communication and stakeholder management skills.
• Experience with cloud-based ML platforms (e.g., AWS, GCP, Azure) is a plus.