Product Manager, Advanced AI & Risk Data Solutions

Who we are:

Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

Role Overview:

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.

Key Responsibilities:

Product Strategy and Vision:

• 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.

AI & Automation for Business Risk & Controls:

• 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.

Data-Driven Insights and Decisioning:

• 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.

Stakeholder Collaboration:

• 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.

Operational Excellence:

• 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.

Qualifications:

• 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.

Technical Expertise:

• 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.

Key skills/competency:

• Product Management
• Artificial Intelligence (AI)
• Machine Learning (ML)
• Risk Management
• Data Solutions
• Automation
• Financial Services
• Stakeholder Collaboration
• Data Governance
• AWS SageMaker