Senior Technical Data/ML Product Owner

Remote Full-time
Esusu was founded in 2018 to include everyone on the journey from financial identity and stability toward financial wellness that leads to wealth building. Our mission is to dismantle barriers to housing for working families. We aim to make the impossible possible for millions of Americans who are credit invisible, with no credit history in any of the national consumer reporting agencies. We work with renters and property managers to report on time rental payment data to national consumer reporting agencies as a way to establish and fill gaps in renters’ credit reports. We also offer services focused on financial support and well-being and provide access to rent relief through charitable partnerships.
The Challenge
We are seeking a Senior Technical Data/ML Product Owner to drive the development of AI/ML-powered consumer products that enhance financial identity, inclusion, and decision-making. This role is pivotal in shaping how data and machine learning improve consumer financial health, risk assessment, and credit-building opportunities.
As a senior leader, you will work at the intersection of data science, AI/ML, consumer finance, and financial identity, ensuring Esusu delivers impactful and responsible AI-driven solutions. You will define the strategy, roadmap, and execution for ML-enabled consumer products, balancing user needs, business growth, and regulatory compliance. In addition, you will own Esusu’s data strategy, pipelines, and solutions.
Key Responsibilities
Data Strategy and Infrastructure

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

Product Strategy & Roadmap

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.

AI & ML-Driven Consumer Product Development

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.

Financial Data & Consumer Insights

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.

Cross-functional Leadership

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.

Required 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.
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.

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

This job is eligible only for the following states: California, Colorado, District of Columbia, Georgia, New York, Illinois and WashingtonWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
© Esusu Inc. All rights reserved, Esusu is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.

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