Tax Innovation - Data and Analytics Engineering - Senior Manager

PwC•Washington, DC

1d•$124,000 - $335,000•Remote

About The Position

As a Tax Innovation - Data and Analytics Engineering - Senior Manager, you will lead the development of AI and GenAI solutions, including analytical modeling and prompt engineering, transforming raw data into actionable insights to drive business growth. Within our Tax practice, you will leverage your skills and professional networks to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while developing and sustaining diverse and inclusive teams. In this role at PwC, you will focus on designing and developing robust data solutions for clients, playing a crucial role in enabling informed decision-making. You will craft and convey clear, impactful messages that tell a holistic story, apply systems thinking to identify underlying problems, and validate outcomes with clients. Your ability to direct teams through complexity and demonstrate composure in challenging situations will contribute to the overall success of our firm.

Requirements

At least a Bachelor's degree
At least 7 years of experience

Nice To Haves

Leveraging skills in AI-Powered Contact Center Solutions
Utilizing Azure AI Services for innovative solutions
Applying knowledge in Natural Language Processing (NLP)
Demonstrating proficiency in Python programming
Excelling in Machine Learning and Generative AI
Developing strategies using LangChain and LangGraph
Implementing Retrieval-Augmented Generation techniques

Responsibilities

Leading the development and deployment of AI and GenAI 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
Applying systems thinking to identify underlying problems and opportunities within data and analytics projects
Validating outcomes with clients and incorporating feedback to refine solutions
Directing teams through complex and ambiguous situations, demonstrating composure and strategic problem-solving
Initiating coaching conversations to motivate and develop high-performing, diverse, and inclusive teams
Utilizing technical proficiency in machine learning, natural language processing, and data science to enhance AI capabilities
Collaborating with stakeholders to identify data challenges and develop innovative solutions using Azure AI Services and LangChain
Implementing retrieval-augmented generation techniques to optimize data utilization and improve business performance