SVP, Head of Intelligence

SVP, Head of Intelligence

Fort Lee, New Jersey, United States

Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

Cross River is building the financial infrastructure of the Intelligence Age - the regulated backbone on which AI-era finance runs. The Intelligence organization is where that ambition becomes operational: the models, platforms, and data products that power credit, compliance, payments, and strategic decision-making across the bank.

We are hiring an SVP, Head of Intelligence to own this organization end to end. This is not a caretaker role. You will inherit a function mid-transformation - a Modeling Organization being rebuilt around automation, a data infrastructure team being re-platformed, and a new class of intelligence products being stood up from redeployed talent - and you will own the whole build chain.

This is a Commercial Product Role – you need to of course be an Engineering Leader but Commercial Strategist First.

You report directly to the EVP & Chief AI Officer.

• CRB Intelligence. The bank's intelligence platform - the models, tooling, and serving layer purpose-built for the Intelligence organization, built vertically on top of the bank's horizontal enterprise AI platform. You are the enterprise platform's most demanding internal customer, and you make it real.
• Data Infrastructure. The architecture and engineering of the data foundation Intelligence runs on, including a senior architecture team reporting to you. Data operations (ingestion, curation, production support) run in the COO organization under a written SLA to Intelligence - uptime, freshness, schema stability. You are the customer; you enforce the contract.
• Intelligence Products. A new product line turning the bank's data exhaust into decision products for the business: credit intelligence, counter party intelligence, market and network analytics. You define the roadmap, ship the products, and prove the P&L logic.
• Modeling
  - The bank's model development organization - credit and compliance modeling

• CRB Intelligence is in production, with the Model development lifecycle running on it – automated and observable.
• Build/run separation is real: nothing transfers to operations without runbooks, SLOs, and alerting; nothing comes back over the wall.
• Intelligence Products has shipped at least three products with named internal customers and measurable decision impact.
• The Model Factory operates at materially higher throughput with a smaller, more senior team.
• The seam with the enterprise AI platform is clean: you consume horizontal, you build vertical, and there is one AI platform strategy at the bank.

• A builder-executive: 12+ years across data/ML platform engineering and quantitative or decision-science organizations (not engineering only), with 5+ years leading multi-team engineering orgs (30+ people) through platform transitions. High Pressure Experience
  - Trading desks, Quant shops, Algorithmic houses is a HARD requirement.
• A P&L-first architect. Every product in this organization follows the same cycle: ideate → test → measure → deploy → measure → tweak → measure → scale → measure. Architecture serves that loop - commercial outcomes are the design input, not a downstream discovery. If you cannot name the P&L question a system answers, you should not build the system.
• We are NOT looking for Technology…