
Job Summary
We are seeking a highly skilled Data Product Officer who will be responsible for ensuring that data solutions are developed by data scientists, engineers, and analysts are effectively utilized by the business to create a competitive edge. This role will focus on optimizing deployed data products through experimentation, A/B & hypothesis testing, and continuous improvement, ensuring insights drive measurable business impact. Acting as the bridge between technical teams and business stakeholders, this role champions a data-driven culture by promoting data literacy, adoption, tracking performance, and refining solutions based on feedback.
Roles And Responsibilities
- Measure and ensure adoption and value realization of data products and initiatives by integrating them into decision-making processes.
- Design and execute experiments to optimize deployed data products.
- Bridge data science, engineering, and business teams to drive competitive advantage through data-driven strategies post deployment.
- Monitor performance and establish feedback loops to continuously refine and enhance data products.
- Lead data products change management, data literacy, and cultural transformation to promote a data-driven mindset within the organization
Requirements
Academic and Professional
- Bachelor’s or Master’s degree in AI, Data Science, Business Analytics, Computer Science, or a related field.
- An additional business-related certification is an added advantage.
- 4+ years of experience in data product management, data analytics, or a related role in a data-driven organization.
- Proven experience in A/B testing, experimentation frameworks, and business impact analysis.
- Strong understanding of data science, machine learning, and analytics methodologies
- Experience working with business stakeholders to drive data product adoption.
- Hands-on experience with data visualization tools, SQL, and analytics platforms.
- Knowledge of the insurance industry, including underwriting, claims, and customer engagement, is a plus.