VP- Data Products& AI EnablementJob SummaryA technology and product leader with 15+ years of banking and financial services experience, combining deep expertise in data, ML, AI, cloud technology, product management, regulatory reporting, and financial analytics. The individual should be equally comfortable engaging executives on strategy, working with engineers and data scientist in implementation, and partnering with risk and control organizations to delivery production grade governed solutions. The candidate should have demonstrated experience of implementing Automated Quantitative Analytics solutions and delivering AI solutions to front office and back-office teams.
Major Responsibilities- Lead the end-to-end product lifecycle, from business discovery and requirements through architecture, development, production deployment, adoption, and continuous improvement
- Design scalable backend data and AI platforms supporting commercial banking, risk, finance, operations, and enterprise data use cases
- Develop and scale AI-powered products using technologies such as LLMs, RAG, natural-language-to-SQL, AI agents, and intelligent automation to improve operational processes and information delivery for management, sales and regulatory reporting
- Partner with data engineering and technology teams to establish trusted, reusable, governed data products and centralized data assets across commercial and corporate investment banking domains
- Embed data and AI governance, security, model controls, SOX, auditability, data quality, and regulatory requirements into product design and delivery
- Translate complex banking, financial, regulatory, and operational requirements into intuitive self-service products, analytics platforms, and actionable insights for executives, relationship managers and business teams
- Server as a senior subject-matter expert across banking data, financial reporting, regulatory reporting, risk, capital markets, and AI-enabled transformation
- Collaborate with data scientists, AI engineers, product managers, architects, cybersecurity, risk, and business teams to translate complex requirements into scalable technical solutions.
QualificationsRequired- 10+ years of progressive software, backend, platform, or data engineering experience, including enterprise-scale distributed systems and production data platforms.
- 8+ years in Product Management, having managed data products, analytics and reporting solutions, with experience leading cross-functional teams
- Sets the operating model for how the team applies AI, and raises its proficiency through enablement for end users and internal team members
- Strong communication, stakeholder management, problem-solving, and technical leadership skills.
Preferred- Hands-on AI prototyping or feature building will be valuable
- Experience delivering technology solutions in financial services or another highly regulated industry.
- AI/LLM Engineering | Agentic AI | RAG and Vector Search | Data Engineering | Distributed Systems | Python and SQL | Kafka | Airflow | Spark | Kubernetes | AWS/Cloud | APIs and Microservices | AI/ML Infrastructure | Data Security and Governance | High Availability | CI/CD | Financial Services
Education:Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience
"Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position."
The typical base pay range for this role is as follows:
- New York / New Jersey: $ 150-188K
- Non-New York / New Jersey: $137-169 K
depending 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. For more information on our Total Rewards package, please click the link below.
Our hybrid work schedule is four days on-site and work remotely one day per week.
