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Product Manager (Advanced AI & Risk Data Solutions)
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. MBA is a plus ,
- 8+ years of experience as a Product Manager, with a focus on data-intensive products, AI/ML, or automation solutions ,
- Proven experience delivering AI/ML products in financial services or risk-related domains such as Credit, Collections, and Fraud ,
- Strong understanding of data pipelines, modeling, and storage technologies (e.g., Snowflake, dbt, Airflow) ,
- Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face, and cloud platforms (AWS, SageMaker) ,
- Skills and Competencies: ,
- Excellent problem-solving and analytical skills with a data-driven mindset ,
- Strong communication and collaboration skills to work effectively with cross-functional teams ,
- Ability to balance long-term strategic goals with immediate operational needs
What the job involves
- We are seeking a highly skilled and motivated Product Manager, Advanced AI & Risk Data Solutions to lead the development and execution of advanced data-driven solutions for our First Line of Defense Risk Data, which includes Business Risks & Controls, Credit, Collections, and Fraud domains ,
- This role will amplify the utilization of data across the organization, driving innovation through Artificial Intelligence (AI), Machine Learning (ML), and Automation ,
- As the bridge between engineering, data, and business stakeholders, you will be responsible for defining and delivering solutions that enhance decision-making, streamline processes, and improve risk outcomes ,
- Develop and execute a roadmap for AI/ML and data-driven products that support Risk Data, including Credit, Collections, and Fraud ,
- Collaborate with stakeholders to identify opportunities for leveraging data, ML, and automation to address risk management challenges ,
- Align the product strategy with organizational goals, ensuring it enhances operational efficiency, predictive analytics, and customer outcomes ,
- Collaborate with the Business Risk & Controls division of SoFi to implement AI/ML solutions that improve risk oversight and process efficiency ,
- Identify opportunities for automation in Risk Data operations to replace manual activities, enabling teams to focus on strategic and impactful work ,
- Develop AI Analytics to accelerate strategy improvement opportunities and insights within the Decision Engine ,
- Create solutions that empower teams to make data-driven decisions by providing actionable insights and predictive capabilities ,
- Work closely with Credit Risk, Collections, and Fraud teams to define product requirements and success metrics ,
- Serve as the primary liaison between technical teams (Data Engineers, ML specialists) and business units, ensuring alignment on priorities and deliverables ,
- Establish and implement best practices for data governance, quality, and security within AI/ML applications ,
- Monitor product performance and iterate on solutions to improve accuracy, efficiency, and user experience