
Technical Project Manager
Application managed by InterviewHR
Feedzai, the world's first RiskOps platform for financial risk management, is seeking a Technical Project Manager to join our Risk & AI team within Customer Success. In this role, you will be at the forefront of fighting financial crime and protecting people from financial harm. You'll work with our largest banks, processors, and retailers to design risk management strategies, develop models and rules, and implement data pipelines that help clients succeed in safeguarding global commerce. Your day-to-day responsibilities will include understanding and assessing raw data quality from diverse client sources, designing and maintaining scalable data pipelines for ingestion and transformation, implementing automated data validation and quality assurance processes, and collaborating with data scientists on feature engineering. You'll lead technical discussions with client stakeholders on data architecture and partner with internal teams including Product, Engineering, and Research to improve platform tooling. Additionally, you'll mentor junior engineers in best practices and coding standards. This is an excellent opportunity to make a real impact at a Series D company valued at $2 billion, protecting 1 billion consumers and 90 billion transactions annually. You'll work in a collaborative, fast-paced environment that encourages innovation and professional growth, with comprehensive onboarding and support during your first 30 days.
Responsibilities
- Understand, profile, and assess the quality of raw data from diverse client sources
- Design, build, test and maintain scalable and robust data pipelines for ingestion, transformation, and enrichment
- Implement automated data validation, cleaning, and quality assurance processes
- Collaborate with data scientists to support feature engineering and data preparation workflows
- Optimize performance and cost efficiency of data workflows across cloud and on-prem environments
- Lead discussions with client stakeholders on data architecture, integration, and delivery strategies
- Partner with internal teams (Product, Engineering, Research) to improve platform tooling and reusability
- Mentor and guide junior engineers in best practices, architecture design, and coding standards
Skills
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