Director, Decision Science Technology

Role Overview

• Develop and keep relevant a vision for team in a fast-paced, complex and evolving arena.
• Foster a high-performing team of technologists and drive a culture of excellence, innovation, and deep collaboration with the science organization, the AI/ML engineering organization, and all partner teams.
• Own the technology delivery for a portfolio of decision science applications driven by a range of science algorithms.
• Deliver across the entire development lifecycle, from technical design to deployment, for intelligent applications featuring quantitative AI/ML, agentic workflows and conversational AI.
• Provide ambidextrous technology & data oversight.
• Manage a high-performing team in a matrixed environment.
• Lead, mentor, and grow an evolving & blended team of software engineers, data engineers, solution architects and platform specialists.
• Cultivate a unified, agile culture that excels at tackling both complex data challenges and sophisticated application development.
• Oversee the technical, data, and system architectures for analytic platforms and solutions.
• Provide strategic leadership on the long-term technical vision, including data modeling, microservices architecture, API design, and the advanced tooling required to enable intelligent, interactive applications.
• Foster a culture of innovation by leading the adoption of AI tools within the development process (e.g., code assistants, automated testing) to enhance team efficiency, speed of code development, test creation and execution, and improved documentation.
• Develop roadmaps for reusable capabilities, tools, and agents to harmonize with the portfolio milestones & deliverables while simultaneously raising the bar on standard expectations for deployed solutions, including automated metrics and validation, user-algorithm interactions, and standard features for robust, reliable and secure solution design.
• Ensure the reliability, scalability, and security of all production applications.
• Champion the development of standard operating procedures, quality assurance, and automated monitoring to maintain a healthy and sustainable technology portfolio.
• Define success metrics and OKRs, establishing clear baselines and targets, and continuously tracking outcomes to inform prioritization and optimize results.
• Proactively identify and remediate technical debt within the existing products.
• Collaborate closely with peers across organizations to ensure successful product delivery.
• Connect business partners, clients and team with processes improvements and the adoption of the latest business, science and technology standards and best practices.
• Ensure all platforms and services are designed with security, privacy, and compliance principles embedded by default.
• Drive cost‑aware platform design and responsible scaling of storage and compute workloads, balancing innovation velocity with sustainable cloud economics.
• Translate complex technical concepts into business value for clients and executives, and providing clear strategic direction for your technical teams.

Requirements

• 12+ years in software engineering, including hands-on system design and delivery of distributed, cloud-based applications.
• Experience leading multiple engineering teams (application, platform, data, DevOps) through managers, with accountability for end-to-end delivery and operations.
• Expertise in modern architectures and practices, including microservices, APIs, cloud-native design, and scalable, resilient systems.
• Strong technical stack experience, including Python, React (or similar), SQL/Snowflake, CI/CD, Docker/Kubernetes, and AWS (or equivalent).
• Proven ownership of engineering strategy and architecture, including roadmaps, platform modernization, and technical debt management.
• Experience delivering and operating enterprise-scale platforms, with focus on reliability, performance, scalability, and security.
• Track record of building and leading high-performing engineering orgs, mentoring leaders and driving engineering excellence through metrics and standards.
• Strong Agile/SDLC execution, including CI/CD, automated testing, and observability.
• Excellent stakeholder leadership and communication, translating technical decisions into business impact.
• Experience leading large-scale transformation, including cloud migration and engineering modernization.
• Ability to manage portfolios, including prioritization, budgets, and delivery across multiple teams.
• Set the strategic direction for generative AI adoption across the software development lifecycle while leading the delivery of enterprise-grade AI products powered by sophisticated agentic workflows.

Tech Stack

• AWS
• Cloud
• Docker
• Kubernetes
• Microservices
• Python
• React
• SDLC
• SQL

Benefits

• A bonus and/or long-term incentive units may be provided as part of the compensation package
• full range of medical, financial, and/or other benefits