Principal Technical Data/ML Product Owner – Consumer & Financial Identity
| Company | Esusu |
|---|---|
| Location | Washington, USA, California, USA, Washington, DC, USA, Georgia, USA, Colorado, USA, New York, NY, USA, Illinois, USA |
| Salary | $220000 – $250000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
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).
- 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.