AI / Data Product Manager
Skills
About the Role
You will lead data science and AI projects in the financial domain as a product manager. You will translate business needs into AI project specifications and system architecture, align expectations among business stakeholders, engineers, and data scientists, manage project progress and reporting, and support system design by considering financial-domain constraints and data structures.
Requirements
- Have 3+ years of experience planning, developing, and operating data- or algorithm-driven features for web services or applications
- Translate abstract business challenges into tasks addressable through data analysis or machine learning
- Manage stakeholders and build alignment across engineering, data science, legal, compliance, and business functions
- Understand statistics, machine learning, and data pipelines sufficiently to hold technical discussions with data scientists and machine learning engineers
- Create BRDs and PRDs accurately for both technical and business audiences
- Have practical experience extracting data with SQL and conducting basic analysis with Python or R
- Have practical experience with upstream system-development processes, including requirements definition and basic design
Responsibilities
- Bridge business stakeholders with engineers and data scientists by aligning expectations, roles, and agreements
- Define requirements and design AI projects
- Translate business requirements documents into AI project specifications and system architecture designs
- Manage project progress for Merchant Credit and Consumer Credit initiatives
- Report project progress to stakeholders
- Support system design by understanding and optimizing data structures within financial-domain constraints
Benefits
- Hybrid workstyle
- Super-flexible working hours with no core hours
- Annual paid leave
- Personal paid leave
- Social insurance
- Defined-contribution pension plan
