Senior Manager, AI & Data Science Engineer

Senior Manager, AI & Data Science Engineer – Role

We are looking for a Senior Manager, AI & Data Science Engineer to join our internal National Tax Technology group, a team dedicated to building the analytical tools, data infrastructure, and AI-powered applications that make our tax practice smarter and faster. You will work at the intersection of machine learning, data engineering, and generative AI – translating complex tax workflows into scalable technology solutions used daily by thousands of tax professionals.

This is a high-impact, full‑stack data science role. You will own end‑to‑end development: from standing up pipelines and wrangling structured and unstructured tax data to deploying models and LLM‑powered applications in production. You will collaborate closely with tax subject matter experts, IT, and product stakeholders to understand problems deeply and build solutions that actually get used.

• Design, train, and evaluate ML/AI models and workflows for tax use cases such as risk classification, anomaly detection, and predictive compliance analytics.
• Build and maintain model pipelines from feature engineering through deployment, monitoring, and retraining.
• Work with tax domain experts to translate regulatory and process knowledge into model features and evaluation criteria.

• Develop LLM‑powered tools for tax research, document review, and summarization using retrieval‑augmented generation (RAG) and prompt engineering techniques.
• Evaluate and fine‑tune foundation models for domain‑specific tax and regulatory language.
• Build safeguards and evaluation frameworks to ensure accuracy and auditability in AI‑generated outputs.

• Design and maintain data pipelines that ingest, transform, and serve structured tax data (ERP outputs, trial balances, return data) and unstructured data (regulatory documents, correspondence).
• Build and maintain data models that serve both ML/AI workloads and downstream analytics.
• Ensure data governance, lineage, and quality standards are met.
• Design and deploy systems engineering and data integration architecture and tools (APIs, etc.).

• Build dashboards and analytical tools that give tax teams visibility into workflow performance, compliance metrics, and process efficiency.
• Conduct ad‑hoc quantitative analyses to support tax leadership decisions and technology investment prioritization.

• 5–7 years of experience in a data science, machine learning engineering, or data engineering role.
• BA in Computer Science, Data Science or Statistics (Master’s degree preferred).
• Proficiency in Python (pandas, scikit‑learn, PyTorch or Tensor Flow) and SQL.
• Hands‑on experience deploying ML models to production (MLflow, Sage Maker, Vertex AI, or equivalent).
• Experience building or integrating LLM‑based applications (Claude, PLTR, OpenAI API, MS Azure OpenAI, Lang Chain, or similar).
• Experience with cloud data platforms and pipeline orchestration (Airflow, dbt, or equivalent).
• Strong communication skills – you can explain a model's behavior to a tax partner who has never heard of gradient descent.

• Exposure to tax, finance, or accounting data (ERP systems, ONESOURCE, Corptax, or similar platforms).
• Experience with vector databases and RAG architectures (Pinecone, Weaviate, pgvector).
• Familiarity with document processing pipelines (OCR, PDF extraction, entity recognition on financial documents).
• Knowledge of data governance and auditability requirements in regulated industries.

Competitive base compensation, benefits package, and a discretionary employee bonus program for eligible employees based on individual and firm performance metrics. For roles based in Los Angeles, San Francisco, and New York, the expected salary range is $200,000 to $250,000, subject to qualifications.

Benefits:
Medical, dental, vision, and basic life insurance; 401(k) plan enrollment upon hire; paid time off starting at 200 hours annually; twelve paid holidays. For a full listing of benefit offerings, visit

Applicants must be currently authorized to work in the United States on a…