Senior Associate, Data Strategy Enablement & Innovation

Responsibilities

• Contribute to the firm's AI and Data architecture by applying best practices to build scalable, secure, and reliable systems
• Support the implementation of the firm-wide data strategy and specialized AI systems, including Knowledge Assistants and Agentic Frameworks
• Participate in the evaluation of emerging Data and AI technologies by conducting hands-on experiments with ecosystem vendors
• Aid in documenting technical results and translating successful proofs-of-concept into functional capabilities
• Utilize established tests, metrics, and benchmarks to assess the quality, performance, and impact of AI systems
• Build reusable frameworks, APIs, and scalable data solutions using the Azure and Google ecosystems
• Work closely with technology teams and business stakeholders to ensure AI solutions and experiments align with functional priorities
• Communicate technical concepts and data-driven insights to team members and project leaders
• Collaborate with a high-performance team environment
• Engage in continuous learning and professional development, sharing knowledge with peers

Qualifications

• Minimum three years of recent progressive experience in a role such as AI/Data Engineering, Software Development, or Data Analytics, with a background in AI full-stack development and platform enablement
• Bachelor's degree in computer science, engineering, data science, or a related field from an accredited college or university is required
• Hands-on experience developing and delivering solutions on cloud platforms, with required experience in Microsoft Azure (including Azure Databricks) and a strong preference for experience with the Google Cloud Platform (GCP) ecosystem
• Practical experience with Generative AI, including hands-on work with Large Language Models (LLMs like Google Gemini), retrieval-augmented generation (RAG), and the implementation of agentic frameworks
• Ability to contribute to technology projects, adhere to established architectural standards, and utilize benchmarks and metrics for evaluating AI systems
• Strong communication and teamwork skills, with a proven ability to collaborate effectively with business stakeholders and translate technical ideas into actionable tasks