AI Engineer / Data Scientist, AI Director

Responsibilities: Translate business goals into AI and data engineering solutions for client engagements Design and deploy ML models, data pipelines, and scalable AI platforms Set portfolio-wide evaluation strategy and quality standards for AI behavior, bias, explainability, and failure modes Establish review standards for technical controls and evidence, ensuring clear findings and defensibility Sponsor reusable evaluation tools, automated testing, reference datasets, monitoring, and evidence workflows Guide data wrangling, feature development, model training, and performance tuning across use cases Evaluate data quality, model outputs, and platform integration points for reliable delivery Advise clients on AI strategy, use case prioritization, and technology choices Develop new ideas and technical approaches to advance AI capability across teams Coach practitioners on AI implementation methods and modern development practices Identify opportunities to expand AI offerings and strengthen client relationships Adhere to firm technical standards, independence requirements, and professional conduct

Key requirements: Bachelor's degree or higher At least 8 years of experience director-level AI and data strategy experience across client engagements ability to set enterprise-wide AI evaluation standards and governance leadership stakeholder communication business acumen AI/ML model development data engineering software implementation