Full-Time Senior Technical Data/ML Product Owner

Esusu was founded in 2018 to help everyone achieve financial wellness leading to wealth building. We aim to remove barriers to housing for working families, focusing on credit invisible Americans with no credit history.

We work with renters and property managers to report on-time rental payments to national consumer reporting agencies, filling gaps in renters’ credit reports.

We offer financial support and well-being services, providing access to rent relief through charitable partnerships.

Challenge: We are seeking a Senior Technical Data/ML Product Owner to develop AI/ML-powered consumer products enhancing financial identity, inclusion, and decision-making.

This role will shape how data and machine learning improve consumer financial health, risk assessment, and credit-building opportunities.

You will work at the intersection of data science, AI/ML, consumer finance, and financial identity.

Responsibilities:

• Data Strategy & Infrastructure: Develop scalable data solutions for Esusu's entire product and data suite. Define data definitions and build a data dictionary.
• Define requirements for data pipelines, data flows, and ETLs/ELTs.
• Product Strategy & Roadmap: Define and execute a data and AI-driven product strategy that enhances financial identity and inclusion.
• Prioritize ML-powered features (risk scoring, credit-building insights, predictive analytics, personalized financial recommendations).
• Ensure AI/ML models align with consumer behavior, financial regulations, and business impact metrics.
• Advocate for responsible AI (transparency, fairness, explainability in financial identity decisions).
• AI & ML-Driven Consumer Product Development: Define product requirements for AI/ML models.
• Partner with data scientists and ML engineers to deploy models driving real-time decisions and personalized 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.
• Financial Data & Consumer Insights: Leverage alternative data sources.
• 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.
• Cross-functional Leadership: Collaborate with engineering, data science, compliance, legal, and marketing teams.
• Lead cross-functional discussions to ensure AI models comply with regulations (CCPA, FCRA, ECOA).
• Influence executive stakeholders on AI/ML investments and strategic data initiatives.

Qualifications:

• 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.
• Proficient in SQL and Python (TensorFlow, PyTorch, AWS SageMaker, AWS Bedrock, Snowflake)
• Deep knowledge of financial data regulations (FCRA, ECOA, Fair Lending, CCPA).
• Proven ability to define, execute, and scale AI/ML-powered consumer experiences.

Preferred Qualifications: Fintech, insurtech, or consumer financial services experience. Experience with MLOps, real-time AI models, financial data privacy. Leading cross-functional AI teams.

Benefits (Competitive Salary - Series B startup - $220,000 - $250,000 (L7)).

What is the last date for applying to the job?

Which countries are accepted for this remote job?