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
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  • 8+ years of experience as a Product Manager, with a focus on data-intensive products, AI/ML, or automation solutions
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  • Proven experience delivering AI/ML products in financial services or risk-related domains such as Credit, Collections, and Fraud
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  • Strong understanding of data pipelines, modeling, and storage technologies (e.g., Snowflake, dbt, Airflow)
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  • Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face, and cloud platforms (AWS, SageMaker)
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  • Skills and Competencies:
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  • Excellent problem-solving and analytical skills with a data-driven mindset
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  • Strong communication and collaboration skills to work effectively with cross-functional teams
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  • 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
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  • This role will amplify the utilization of data across the organization, driving innovation through Artificial Intelligence (AI), Machine Learning (ML), and Automation
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  • 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
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  • Develop and execute a roadmap for AI/ML and data-driven products that support Risk Data, including Credit, Collections, and Fraud
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  • Collaborate with stakeholders to identify opportunities for leveraging data, ML, and automation to address risk management challenges
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  • Align the product strategy with organizational goals, ensuring it enhances operational efficiency, predictive analytics, and customer outcomes
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  • Collaborate with the Business Risk & Controls division of SoFi to implement AI/ML solutions that improve risk oversight and process efficiency
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  • Identify opportunities for automation in Risk Data operations to replace manual activities, enabling teams to focus on strategic and impactful work
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  • Develop AI Analytics to accelerate strategy improvement opportunities and insights within the Decision Engine
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  • Create solutions that empower teams to make data-driven decisions by providing actionable insights and predictive capabilities
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  • Work closely with Credit Risk, Collections, and Fraud teams to define product requirements and success metrics
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  • Serve as the primary liaison between technical teams (Data Engineers, ML specialists) and business units, ensuring alignment on priorities and deliverables
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  • Establish and implement best practices for data governance, quality, and security within AI/ML applications
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  • Monitor product performance and iterate on solutions to improve accuracy, efficiency, and user experience
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