Tax AI & Data Analytics Manager

PwC; Chicago (IL); On-site; USD 99,000 - 266,000; Full time

Job summary

PwC in Chicago seeks a Tax Innovation - Data and Analytics Engineering Manager to lead AI/GenAI solutions, analytical modeling, and prompt engineering, turning raw data into actionable insights for client growth.

You will coach and develop team members, drive end-to-end data solutions using Azure AI Services, Python, LangChain, and vector databases, and advance LLMOps and retrieval-augmented generation in complex engagements.

Qualifications

• Bachelor's degree required.
• 5+ years of experience required.

Responsibilities

• Leading the development and deployment of AI and Generative AI solutions, including analytical modeling and prompt engineering.
• Designing, testing, and maintaining AI architectures to deliver end-to-end solutions for clients.
• Transforming raw data into actionable insights to support informed decision-making and drive business growth.
• Utilizing Azure AI Services and Python programming to enhance data solutions and analytics capabilities.
• Implementing machine learning and natural language processing techniques to optimize data analysis processes.
• Orchestrating agent-based systems and leveraging LangChain and LangGraph for advanced data management.
• Conducting LLM evaluation and applying LLMOps to improve AI model performance and reliability.
• Engaging in context engineering and retrieval-augmented generation to refine data retrieval methods.
• Managing vector databases to support efficient data storage and retrieval operations.
• Mentoring team members to develop skills outside their comfort zones and encouraging innovation in AI projects.

Skills

Azure AI Services

LangChain

Generative AI

Machine Learning

Natural Language Processing

Prompt Engineering

LLMOps

Python

Vector Databases

Education

Bachelor's degree

Job description

PwC in Chicago seeks a Tax Innovation - Data and Analytics Engineering Manager to lead AI/GenAI solutions, analytical modeling, and prompt engineering, turning raw data into actionable insights for client growth.

You will coach and develop team members, drive end-to-end data solutions using Azure AI Services, Python, LangChain, and vector databases, and advance LLMOps and retrieval-augmented generation in complex engagements.