Product Manager, AI & Risk Data Solutions
Product Manager, AI & Risk Data Solutions
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Salary Not Disclosed
1 Vacancy
Job Description
The Role
Were seeking a Risk Data AI/ML Product Manager to lead the development of advanced data-driven solutions across SoFis First Line of Defense Risk Data. This includes domains like Business Risks & Controls Credit Collections and a strategic bridge between engineering data and business stakeholders youll drive innovation through AI ML and automation to enhance decision-making streamline processes and improve risk outcomes.
What Youll Do
Product Strategy & Vision
Develop and execute the roadmap for AI/ML and data-driven products supporting Risk Data (Credit Collections Fraud).
Collaborate with stakeholders to identify opportunities to apply ML automation and data tools to risk management challenges.
Align product strategy with broader organizational goals to improve operational efficiency analytics and outcomes.
AI & Automation for Business Risk & Controls
Partner with the Business Risk & Controls team to implement AI/ML tools that improve oversight and streamline processes.
Identify and implement automation opportunities to replace manual work with scalable solutions.
Data-Driven Insights & Decisioning
Build AI analytics that surface strategy improvement opportunities within the Decision Engine.
Create solutions that empower teams with actionable insights and predictive intelligence.
Stakeholder Collaboration
Work closely with the Credit Risk Collections and Fraud teams to define requirements and success metrics.
Act as the primary liaison between technical teams (e.g. Data Engineers ML Specialists) and business partners to ensure alignment.
Operational Excellence
Define and promote best practices for data governance security and quality within AI/ML products.
Monitor performance and iterate to enhance accuracy efficiency and user experience.
What Youll Need
Bachelors degree and 5 years of relevant experience or Masters degree and 3 years of experience.
Proven success delivering AI/ML products in data-focused environmentsideally within financial services risk or related fields.
Technical Expertise
Deep familiarity with data pipeline and modeling tools (e.g. Snowflake dbt Airflow).
Exposure to AI/ML frameworks (e.g. TensorFlow PyTorch Hugging Face) and platforms like AWS and SageMaker.
Skills & Competencies
Strong analytical and problem-solving skills with a data-first mindset.
Excellent collaboration and communication abilities across technical and non-technical teams.
Required Experience:
IC
Employment Type
Full Time
