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.
• Assist 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, helping cross-functional teams deliver their advanced analytics and AI-driven use cases.
• Work closely with technology teams and business stakeholders to ensure AI solutions and experiments align with functional priorities.
• Clearly communicate technical concepts and data-driven insights to team members and project leaders.
• Actively engage in continuous learning and professional development, and share 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.
• Strong communication and teamwork skills, with a proven ability to collaborate effectively with business stakeholders and translate technical ideas into actionable tasks.