Director of Product Engineering - Clinical Data Management / EDC

Bangalore, IndiaOn-site

You are nearing today's limit. Upgrade for unlimited access.

Responsibilities

Conduct market research and analysis to identify trends, opportunities, and competitive threats in the life sciences sector.
Conduct market research to identify vendors available in this space and analytically decide between build vs. buy.
Define (hands-on) and prioritize product requirements, features, and functionalities in collaboration with data management operations teams, engineering, data and other teams.
Develop and maintain product roadmaps, ensuring clear communication and alignment across all stakeholders.
Monitor and evaluate product performance metrics, adjusting strategies as necessary to achieve success.
Foster strong relationships with key clients and industry experts to gather insights and feedback for continuous product improvement.
Ensure compliance with industry regulations and standards.
Oversee support teams responsible for the Data management incident, problem and change management processes.
Manage all other duties as needed or assigned, ensuring flexibility and adaptability to changing business needs.

The successful candidate will bridge the gap between technology and business, ensuring our products not only excel in functionality but also in market relevance and user satisfaction.
The successful candidate will bridge the gap between technology and business , ensuring our products not only excel in functionality but also in market relevance and user satisfaction.
Qualifications (Minimum Required): Bachelor’s degree in engineering, Life Sciences, Health Care, or a related field. Extensive
experience working on standard EDC products like Medidata, Veeva, CTMS and other similar systems Knowledge of CDISC, ICH frameworks and keeps track of recent changes and advancements
Experience of understanding data concepts for data management systems and Business Intelligence products Fortrea may consider relevant and equivalent
experience in lieu of educational requirements.
Proficiency in product management tools and methodologies (including DevOps) Exceptional analytical, strategic thinking, and problem-solving skills.
experience in product management within the life sciences (data management particularly) and product development industry.