Principal Technical Data/ML Product Owner

Summary

Join Esusu, a company aiming to dismantle barriers to housing for working families, as a Principal Technical Data/ML Product Owner. You will drive the development of AI/ML-powered consumer products enhancing financial identity, inclusion, and decision-making. This pivotal role involves shaping how data and machine learning improve consumer financial health and credit-building. As a senior leader, you will define the strategy, roadmap, and execution for ML-enabled consumer products, balancing user needs, business growth, and regulatory compliance. You will also own Esusu’s data strategy, pipelines, and solutions. This position requires a strong technical background and deep knowledge of financial data regulations. Esusu offers a competitive salary, benefits, and a remote work environment.

Requirements

• 8+ years in product management, data science, or ML-driven product development
• Strong technical background in machine learning, data engineering, and AI-powered consumer products
• Experience with financial identity products, alternative credit scoring, or fintech AI applications
• Proficiency in writing and developing production code in SQL and Python in ML platforms (TensorFlow, PyTorch, AWS SageMaker, AWS Bedrock, Snowflake, )
• Writing SQL and Python code is expected on a regular basis
• Deep knowledge of financial data regulations (FCRA, ECOA, Fair Lending, CCPA)
• Proven ability to define, execute, and scale AI/ML-powered consumer experiences

Responsibilities

• Build scalable data solutions to support Esusu’s entire product and data suite
• Own data definitions, and build a data dictionary for internal and external use
• Define the requirements for data pipelines, data flows, and data ETLs/ELTs
• Evangelize data analytics and understanding throughout the organization
• Define and execute a data and AI-driven product strategy that enhances financial identity and inclusion
• Prioritize ML-powered features such as risk scoring, credit-building insights, predictive analytics, and personalized financial recommendations
• Ensure AI/ML models align with consumer behavior, financial regulations, and business impact metrics
• Advocate for responsible AI, ensuring transparency, fairness, and explainability in financial identity decisions
• Define product requirements for AI/ML models powering credit-building, rent reporting, financial recommendations, and risk assessment
• Partner with data scientists and ML engineers to deploy models that drive real-time decision-making and personalized user experiences
• Oversee the model lifecycle, ensuring robust data pipelines, feature engineering, and real-time ML inference
• Optimize model performance through A/B testing, model retraining, and explainability frameworks
• Leverage alternative data sources (e.g., rent payments, utilities, and non-traditional financial behaviors) to enhance consumer financial identity
• Develop frameworks for AI-powered financial literacy tools, personalized savings plans, and fraud detection models
• Collaborate with credit bureaus, financial institutions, and regulatory bodies to drive AI adoption in financial services
• Work closely with engineering, data science, compliance, legal, and marketing teams to launch AI-powered consumer products
• Lead cross-functional discussions to ensure AI models comply with, CCPA, FCRA, ECOA, and other regulatory standards
• Influence executive stakeholders on AI/ML investments and strategic data initiatives

Preferred Qualifications

• Prior experience in fintech, insurtech, or consumer financial services
• Expertise in MLOps best practices, real-time AI models, and financial data privacy
• Experience leading cross-functional AI teams in a high-growth environment

Benefits

• Competitive Salary - for Series B startup - $220,000 - $250,000 (L7)
• Restricted Stock Units (RSU)
• 401(k) Plan
• Full Medical, Dental, Vision Insurance
• Commuter Benefits
• Paid Parental Leave
• Remote Work Environment – 100% virtual
• Flexible PTO Policy
• Mission driven company with strong culture