A data project manager is an essential role within organizations that deal with data-driven initiatives. They are responsible for overseeing the planning, execution, and delivery of data-related projects, ensuring that they align with business objectives and deliver value to stakeholders.
“A professional that manages projects that deal with big data to develop solutions that make data more accessible, scalable, and operational.”
How data product managers use data:
- Set OKRs and KPIs for their team, department, and the entire company.
- Support and influence stakeholders using data and analysis.
- Perform A/B testing both internally and externally.
- Conduct competitor, market, and customer research, including beta testing of products before they are launched.
- Create data-based customer personas for collaborative processes to back up metrics and key data for reasoning.
Data product managers also play a critical role in data governance, ensuring data quality, integrity, and compliance with relevant regulations.
A data project manager must possess a skill set that combines technical expertise with business. They should have a deep understanding of data analysis, data engineering, and data visualization techniques, along with strong project management, communication, and the ability to work across cross-functional teams.
As the world becomes increasingly data-driven, the role of a data project manager becomes more vital. Their expertise enables organizations to extract meaningful insights from data, optimize processes, and drive innovation.