Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience.
Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes).
Demonstrated success in setting vision and executing across complex, multi-year technology programs.
Demonstrated strength in partnership-building and cross-functional collaboration.
Able to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap.
Ability to operate in complex market and organizational contexts, translating strategic objectives into actionable plans.
Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale.
AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust.
Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth.
Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support.
Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability.
Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work.
Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs.
Alpha generation workflows or closely related quantitative research processes in finance/investments.
Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray).
API-first platform design and developer experience best practices.
AI/ML applications for workflow automation, data validation, and operational excellence
Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology

SmartExplore AI is experimental.

New, Posted 1 day ago

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Assistant Training Director

The Training Fund of the International Union of Operating Engineers, Local 94-94A-94B, AFL-CIO

New York, NY 10261

New, Posted 1 day ago

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Engineering Delivery Lead / Scrum Master (FinTech)

Intellibus

New York, NY 10001

New, Posted 11 hours ago

Director of Sales

Pure Power Engineering

Jersey City, NJ 07302

Sr. Manager, Machine Learning Engineering

Disney Entertainment Television Careers

New York, NY 10025

$217,300-$270,000/yr

New, Posted 1 day ago

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Director | Supervisor Clinical Lab Tech ($140k Salary)

Integrated Resources, Inc ( IRI )

Brooklyn, NY 11210

$140,689/yr

New, Posted 10 hours ago

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Principal Software Engineer

Mastercard

Harrison, NY 10528

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Extensive experience in designing and delivering large-scale, distributed systems and platforms.
Proven ability to influence technical strategy and drive architectural decisions across multiple teams.
Strong expertise in modern software engineering practices, cloud-native architectures, and AI/data platforms.
Exceptional communication and leadership skills with a track record of mentoring and thought leadership.
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
Data Architecture & Strategy
Focus on designing modern, scalable, governed data ecosystems.
Data strategy and product-aligned data architectures
Modern database technologies and migration away from legacy Oracle
Data lakehouse architectures supporting analytics and ML workloads
Feature catalog / feature engineering platforms
High-Throughput, Low-Latency, and Real-Time Systems
Critical for Mastercard's real-time decisioning and event-driven platforms.
Event streaming and high-throughput data pipelines
Low-latency data technologies (distributed caches, grid replacement)
Real-time transaction processing and sub-second decisioning
Rules engine design and modernization
Cloud Infrastructure, Platform Engineering & DevOps
Driving cloud-native engineering practices and operational excellence.
AWS infrastructure engineering and cloud-native platform patterns
DevOps and platform engineering (automation, CI/CD, observability, GitOps)
ML lifecycle engineering (model training, deployment, refresh, inference)
Deep, progressive experience in software engineering.
Proven technical leadership roles influencing architecture and design across multiple teams.
Proven track record of delivering large-scale, distributed systems and enterprise-grade platforms.

SmartExplore AI is experimental.

What companies are hiring Director Engineering Tech jobs in New York,NY?

ROW NYC
NYC Health + Hospitals
kW Engineering
Blackrock
The Training Fund of the International Union of Operating Engineers, Local 94-94A-94B, AFL-CIO
Intellibus
Pure Power Engineering
Disney Entertainment Television Careers
Integrated Resources, Inc ( IRI )
Mastercard