AVP - Data Products and AI Enablement

Assistant Vice President - Data Products and AI EnablementThe Assistant Vice President - Data Products and AI Enablement is a hands-on engineering role responsible for building AI-powered applications and data products from backend services and APIs through intuitive user experiences.

The role combines modern software engineering, AI/LLM development, data integration, and frontend development to deliver secure, scalable, and user-centric solutions for analytics and reporting users, relationship managers and business partners across the bank. The ideal candidate combines strong frontend and backend engineering skills with practical experience integrating AI into production applications and a strong understanding of data-driven product development.Major ResponsibilitiesDesign and build end-to-end AI-powered applications spanning frontend experiences, backend services, APIs, data platforms, and AI/LLM capabilities.Develop intelligent applications using LLMs, RAG, vector search, semantic retrieval, AI agents, natural-language interfaces, and intelligent automation.Build responsive and intuitive enterprise applications using React, TypeScript, Next.js, Python, Node.js, and modern API architectures.Develop backend services and APIs that integrate enterprise data, AI models, banking systems, and third-party platforms.Transform complex financial, client, operational, and analytical data into intuitive dashboards, workflows, insights, and decision-support experiences.Build reusable frontend components, design systems, data visualizations, and application frameworks that accelerate delivery across the Chief Data & AI Office.Partner with product managers, designers, data scientists, AI engineers, and business stakeholders to rapidly prototype, validate, and produce new AI and data products.The above statements describe the general nature and level of work performed. They are not intended to be an exhaustive list of all responsibilities, duties, and qualifications required.QualificationsRequiredTypically 5+ years of software, backend, platform, or data engineering experience, including distributed systems and production data platforms.Knowledge of data security, governance, high availability, disaster recovery, observability, and performance optimization.Strong communication, stakeholder management, problem-solving, and technical leadership skills.PreferredRelevant cloud, data engineering, Kubernetes, or AI/ML certification.Experience delivering technology solutions in financial services or another highly regulated industry.Experience working with cybersecurity, data governance, model risk, architecture, and control functionsCore ExpertiseAI/LLM Applications | Agentic AI | RAG & Vector Search | Full-Stack Engineering | React | TypeScript | Next.js | Python | Node.js | REST APIs | Data Integration | Cloud | Data Visualization | Enterprise Applications | AI-Powered UX | CI/CD | Testing | Financial Services | Security & GovernanceEducation:Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experienceThe typical base pay range for this role is as follows:New York / New Jersey: $96-143 KNon-New York / New Jersey: $90-129Kdepending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays.Our hybrid work schedule is four days on-site and work remotely one day per week.We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.