Can you describe your experience in data engineering and machine learning prior to moving into product management? Please provide examples of projects you’ve led or contributed to significantly. *

What motivated your transition from a technical role to product management, especially in the context of data and machine learning products? *

How do you stay updated with the latest technologies and trends in data science, machine learning, and product management? *

Describe a challenging technical problem you encountered in a previous role and how you solved it. What was the impact of your solution on the product or business? *

Give an example of a data or machine learning product you managed. How did you identify the opportunity, and what was your approach to product development and launch? *

How do you prioritize features in a new product? Can you walk us through your process using a specific project as an example? *

Describe a situation where you had to lead a cross-functional team. How did you handle differing opinions or conflicts among team members? *

How do you ensure that non-technical stakeholders understand the value and capabilities of the data products you manage? *

How do you think machine learning and data analytics are impacting the pharmaceutical industry today? Can you discuss any potential ethical considerations? *

Given the regulatory environment in the pharmaceutical industry, how do you ensure your data products comply with relevant laws and guidelines? *

Can you provide an example of a project or initiative you started on your own? What motivated you, and what was the outcome? *

How do you approach learning new skills or technologies that are necessary for your job but not part of your current expertise? *