Lead design and delivery of AI and GenAI data solutions for Tax, including analytical modeling, prompt engineering, ML/NLP, Azure AI Services, LangChain, and RAG. Manage and coach teams, validate outcomes with clients, and translate raw data into actionable insights to drive business growth.
The Opportunity
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.
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
What You Must Have
- At least a Bachelor's degree
- At least 7 years of experience
What Sets You Apart
- 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
The salary range for this position is: $124,000 - $335,000. 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: https://pwc.to/benefits-at-a-glance
As 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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For 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.
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.
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
What You Must Have
- At least a Bachelor's degree
- At least 7 years of experience
What Sets You Apart
- 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
The salary range for this position is: $124,000 - $335,000. 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: https://pwc.to/benefits-at-a-glance
As 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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For 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.
PwC Denver, Colorado, USA Office


1900 Sixteenth Street, Denver, CO, United States, 80202
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and manage internal audit and SOX engagements, implement audit methodologies, use AI and risk technology to optimize processes, assess controls and financial statements, mentor staff, produce audit reports, and collaborate with stakeholders to mitigate risks and support client growth.
Top Skills:
AIData AnalysisMachine LearningRisk Technology
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead source-to-pay and procurement initiatives to drive cost savings, improve supplier collaboration, and strengthen supply chain resilience. Analyze client needs, implement digital procurement solutions (Coupa, GEP, ZIP, SAP Ariba), manage supplier relationships, direct teams through complex sourcing challenges, apply systems thinking, and validate outcomes with clients while coaching and developing high-performing teams.
Top Skills:
CoupaGepSap AribaZip
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead sourcing and procurement initiatives, implement strategic sourcing frameworks, and deploy digital procurement solutions (Coupa/ZIP/GEP). Manage client engagements, mentor teams, optimize supplier relationships, drive cost savings, ensure contract compliance, and improve supply chain resilience.
Top Skills:
CoupaGepZip
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute



