What are the responsibilities and job description for the Principal Product Manager – Data Science & Machine Learning position at Vista?
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.
Responsibilities
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.
- 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.
