Data Science Manager

Are you an experienced Data Science leader with a passion for building and scaling AI/ML products? Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. If you're passionate about shaping the future of AI, we'd love to talk to you.

As a Data Science Manager, you will lead a high-performing team of Data Scientists delivering AI-powered products that create measurable business value s role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems. The ideal candidate has a consistent track record of leading technical teams, scaling AI initiatives from concept to production, and fostering a culture of innovation, collaboration, and continuous improvement.

You will partner closely with Product, Engineering, Research, and business partners to shape strategy, accelerate execution, and deliver impactful AI solutions.

This role combines technical leadership, organizational leadership, and strategic execution within a high-impact AI organization.

Lead the design, development, evaluation, and deployment of production-grade AI and Machine Learning solutions. Drive innovation in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures. Define the technical vision for AI products, ensuring solutions are scalable, secure, maintainable, and aligned with business objectives. Provide deep expertise in model development, experimentation, optimization, evaluation, and production deployment.

Establish standard methodologies for LLM evaluation, model benchmarking, AI quality measurement, and performance assessment. Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation and business value. Guide architectural decisions across AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities. Partner closely with Engineering teams to product ionize AI solutions and drive operational excellence. Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners.

Set clear goals, drive accountability, and support career growth and development. Lead performance management, coaching, feedback, and talent development activities. Foster a culture of innovation, collaboration, ownership, and continuous learning. Drive hiring, onboarding, succession planning, and team growth initiatives. Accelerate technical excellence through mentoring, technical reviews, and knowledge sharing.

Partner with Product, Engineering, and Business leaders to define AI strategy, roadmap, and priorities. Drive execution through effective planning, prioritization, resource management, and delivery oversight. Deliver high-quality AI solutions that create measurable business value. Champion engineering excellence through guidelines, coding standards, experimentation, and governance. Communicate technical strategy, risks, and recommendations clearly to technical and executive collaborators. Promote responsible AI, model governance, compliance, and operational risk management.

Proven track record of building, leading, and developing high-performing teams of Data Scientists, ML…