Head of Engineering jobs in New York, NY

Lead and scale a large engineering organization of over 100 data and ML engineers while providing strategic technical direction for enterprise-scale data platforms. Drive the transition to production-grade autonomous AI systems and establish rigorous engineering standards for reliable platform delivery.

The Head of Engineering will build and lead a high-performing engineering organization, overseeing technical strategy, roadmap execution, and team growth. They will partner with leadership to scale the team from 15 to 30+ engineers while fostering a culture of speed, quality, and ownership.

The Head of Multi-Asset Engineering will lead the technology strategy, architecture, and execution for S&P Dow Jones Indices' Multi-Asset business. This role involves driving product-centric engineering practices, fostering AI-powered innovation, and managing cross-functional stakeholder relationships to deliver scalable technology solutions.

Lead the technology strategy, architecture, and delivery roadmap for the Multi-Asset Index business, accelerating product launches and developing scalable, reusable platforms and shared services. Build and mentor engineering teams, integrate AI and automation into product and engineering workflows, and partner with business and technology stakeholders to deliver measurable outcomes.

The Head of Market Data Development and Engineering will define and execute a unified market data strategy while leading a team to build scalable, low-latency data platforms. This role involves managing vendor relationships, ensuring data quality across crypto and traditional assets, and collaborating with trading and research teams to deliver high-performance data solutions.

Lead the commercial growth, market strategy, and evolution of the Digital Product Engineering practice by building relationships with senior client executives. Provide executive oversight for engagements and partner with delivery teams to ensure the successful delivery of innovative, custom digital solutions.

Lead and grow the sales engineering team while driving technical evaluations and strategic deals from discovery to close. Build foundational demo environments, discovery frameworks, and technical content to scale the team's effectiveness.

Lead the development and implementation of the enterprise platform’s execution layer, including agentic AI workloads and model gateways. Collaborate with cross-functional teams to integrate automation solutions that drive business growth and improve operational efficiency.

Lead the Turing Enterprise AI Platform technical team to build and harden a multi-tenant control plane for enterprise deployment. Set the technical roadmap and collaborate with the Chief AI Architect to ensure successful tenant onboarding and model performance.

Lead engineering while remaining hands-on, building and reviewing backend, data, and AI systems and making architecture, vendor, and build-versus-buy decisions. Set priorities, manage delivery and risks, coach and hold engineers accountable, establish production standards, support customer deployments, and help grow the team.

You will build and scale the Forward Deployed Engineering organization to manage strategic partner integrations and ensure successful production deployments. You will also bridge the gap between partner needs and platform strategy by turning production requirements into prioritized product inputs.

Partner with founders to shape company strategy and translate vision into engineering priorities. Build and scale a world-class engineering organization while overseeing execution and technical infrastructure.

You will lead the modernization of the legacy data estate into a governed, cloud-native platform to support AI and self-service analytics. This involves defining the end-to-end data strategy, building a modular data service platform, and managing the migration from on-premises infrastructure.