Tax Innovation - Data and Analytics Engineering - Manager

Industry/Sector Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity

As a Tax Innovation - Data and Analytics Engineering - 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 advanced technologies and techniques to design and develop robust data solutions for clients, enabling informed decision-making.

As a Manager, you will motivate, develop, and inspire others to deliver quality work. You will be responsible for coaching and leveraging team members' unique strengths to meet client expectations. With your growing business knowledge, you will play a crucial role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully. Embracing technology and innovation, you will enhance your delivery and encourage others to do the same.

In this role, you will analyze and identify the linkages and interactions between the component parts of an entire system, take ownership of projects, and validate successful planning, budgeting, execution, and completion. You will also address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, escalating where appropriate.

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

What You Must Have

- At least a Bachelor's degree
- At least 5 years of experience

What Sets You Apart

- Utilizing Azure AI Services and LangChain for innovative solutions
- Implementing Generative AI and Machine Learning in data projects
- Excelling in Natural Language Processing (NLP) applications
- Developing advanced skills in Prompt Engineering and LLMOps
- Leveraging Python for complex data analytics tasks
- Applying Vector Databases for efficient data retrieval
- Demonstrating intellectual curiosity in data science advancements

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $99,000 - $266,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: more about how we work: only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.