Product Owner - Whippany, NJ - 12 + Months

Job Title: Product Owner
Job ID: 26-19502
Location: Whippany, NJ
Duration: 12 + Months

Job Description:
7+ years of relevant experience
Key Responsibilities

GenAI Product Strategy: Define the roadmap for adopting Generative AI within credit card domains such as customer support bots, personalized marketing content generation, credit risk assessment, and fraud detection.
Backlog Management: Translate business needs into actionable user stories and acceptance criteria for data scientists and engineers.
Model Performance & Governance: Own the end-to-end performance of AI models, ensuring accuracy, reliability, and safety (e.g., mitigating hallucinations in LLMs).
Ethical & Regulatory Compliance: Ensure all GenAI initiatives comply with financial regulations (e.g., GDPR, data privacy laws) and adhere to internal AI governance frameworks.
Cross-functional Collaboration: Work closely with legal, compliance, risk management, and IT teams to ensure secure deployment of AI solutions.
Value Optimization: Evaluate the business impact of AI initiatives, measuring KPIs such as reduced customer service costs, higher engagement rates, or lower fraud rates.
Required Skills and Qualifications

Experience: 5+ years of experience as a product owner, preferably in financial services, banking, or credit cards.
AI/GenAI Knowledge: In-depth understanding of LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and AI development workflows.
Domain Expertise: Knowledge of credit card systems, fraud detection mechanisms, or personalized customer marketing.
Technical Literacy: Familiarity with Python, SQL, and data visualization tools, along with an understanding of AI/ML frameworks (e.g., TensorFlow, LangChain).
Agile Proficiency: Strong experience in Scrum or SAFe frameworks.
Potential Focus Areas in Card Business

GenAI-Powered Support: Developing LLM-powered chatbots that provide instant, human-like assistance for balance inquiries, disputes, and rewards questions.
Fraud Detection & Investigation: Using AI to analyze unstructured data for real-time risk assessment and automated fraud investigation reporting.
Personalization: Generating personalized rewards offers or financial insights for cardholders.
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