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PwC logo

GenAI Python Systems Engineer-Manager

PwC

GenAI Python Systems Engineer-Manager

PwC logo

PwC

full-time

Posted: December 8, 2025

Number of Vacancies: 1

Job Description

GenAI Python Systems Engineer-Manager

GenAI Python Systems Engineer-Manager

Job Category Data and Analytics Engineering Level Manager Specialty/Competency Data, Analytics & AI Time Type Full time Travel Requirements Up to 80% Job ID 676299WD Location(s) NC-Raleigh, NC-Charlotte, IL-Chicago, OH-Cincinnati, OH-Cleveland, SC-Columbia, OH-Columbus, TX-Dallas, VA-Richmond, MD-Baltimore, NY-Rochester, IL-Rosemont, CA-Sacramento, MA-Boston, MO-St. Louis, UT-Salt Lake City, TX-San Antonio, CA-San Diego, CA-San Francisco, CA-Silicon Valley, WA-Seattle, NY-Albany, CT-Stamford, FL-Tampa, OH-Toledo, GA-Atlanta, TX-Austin, DC-Washington, CO-Denver, IA-Des Moines, MI-Detroit, NY-Buffalo, NJ-Florham Park, TX-Fort Worth, NC-Greensboro, CT-Hartford, TX-Houston, IN-Indianapolis, MI-Grand Rapids, CA-Irvine, FL-Jacksonville, MO-Kansas City, NV-Las Vegas, AR-Little Rock, CA-Los Angeles, KY-Louisville, AL-Birmingham, AR-Fayetteville, NY-Melville, FL-Miami, WI-Milwaukee, MN-Minneapolis, TN-Nashville, LA-New Orleans, US-Hybrid, NY-New York, OK-Oklahoma City, PA-Philadelphia, AZ-Phoenix, PA-Pittsburgh, OR-Portland

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important 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 in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.


As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide and mentor your team, delivering top-quality solutions while leveraging team strengths and managing performance to meet client expectations. You play a crucial role in collaborating with stakeholders, enhancing cloud resources, and embracing technology and innovation to improve data architecture and integration solutions.

Responsibilities

- Lead the design and execution of data architecture strategies that support business objectives

- Mentor and guide team members to deliver exceptional solutions

- Utilize team strengths to manage performance and fulfill client requirements

- Collaborate with stakeholders to enhance cloud resources effectively

- Drive innovation and technology adoption to advance data integration solutions

- Foster a culture of continuous improvement and learning within the team

- Uphold the firm's ethical standards and business conduct

- Implement strategic planning to achieve project success and quality outcomes

What You Must Have

- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics

- 5 years of experience

What Sets You Apart

- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus

- Proficient in Python and SQL

- Experience with Docker and containerized deployments

- Skilled in AI techniques enhancing LLMs

- Experience in prompt engineering for LLM optimization

- Implementing data integration solutions using AWS, Azure, GCP

- Utilizing AWS CloudFormation, Azure Resource Manager, Terraform

- Building and deploying DevOps pipelines with cloud services

- Enhancing cloud resources for cost and performance


Learn more about how we work: https://pwc.to/how-we-work

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.

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. 

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.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $99,000 - $232,000. 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

#LI-Hybrid

GenAI Python Systems Engineer-Manager

Locations

  • Raleigh, NC, United States
  • Charlotte, NC, United States
  • Chicago, IL, United States
  • Cincinnati, OH, United States
  • Cleveland, OH, United States
  • Columbia, SC, United States
  • Columbus, OH, United States
  • Dallas, TX, United States
  • Richmond, VA, United States
  • Baltimore, MD, United States
  • Rochester, NY, United States
  • Rosemont, IL, United States
  • Sacramento, CA, United States
  • Boston, MA, United States
  • St. Louis, MO, United States
  • Salt Lake City, UT, United States
  • San Antonio, TX, United States
  • San Diego, CA, United States
  • San Francisco, CA, United States
  • Silicon Valley, CA, United States
  • Seattle, WA, United States
  • Albany, NY, United States
  • Stamford, CT, United States
  • Tampa, FL, United States
  • Toledo, OH, United States
  • Atlanta, GA, United States
  • Austin, TX, United States
  • Washington, DC, United States
  • Denver, CO, United States
  • Des Moines, IA, United States
  • Detroit, MI, United States
  • Buffalo, NY, United States
  • Florham Park, NJ, United States
  • Fort Worth, TX, United States
  • Greensboro, NC, United States
  • Hartford, CT, United States
  • Houston, TX, United States
  • Indianapolis, IN, United States
  • Grand Rapids, MI, United States
  • Irvine, CA, United States
  • Jacksonville, FL, United States
  • Kansas City, MO, United States
  • Las Vegas, NV, United States
  • Little Rock, AR, United States
  • Los Angeles, CA, United States
  • Louisville, KY, United States
  • Birmingham, AL, United States
  • Fayetteville, AR, United States
  • Melville, NY, United States
  • Miami, FL, United States
  • Milwaukee, WI, United States
  • Minneapolis, MN, United States
  • Nashville, TN, United States
  • New Orleans, LA, United States
  • Hybrid, United States
  • New York, NY, United States
  • Oklahoma City, OK, United States
  • Philadelphia, PA, United States
  • Phoenix, AZ, United States
  • Pittsburgh, PA, United States
  • Portland, OR, United States

Salary

99,000 - 232,000 USD / yearly

Skills Required

  • Pythonintermediate
  • SQLintermediate
  • Leadershipintermediate
  • Analyticsintermediate
  • Taxintermediate
  • Auditintermediate
  • Cloudintermediate
  • AWSintermediate
  • Azureintermediate

Required Qualifications

  • 5 years of experience (experience)

Preferred Qualifications

  • Proficient in Python and SQL (experience)
  • Experience with Docker and containerized deployments (experience)
  • Skilled in AI techniques enhancing LLMs (experience)
  • Experience in prompt engineering for LLM optimization (experience)
  • Implementing data integration solutions using AWS, Azure, GCP (experience)
  • Utilizing AWS CloudFormation, Azure Resource Manager, Terraform (experience)
  • Building and deploying DevOps pipelines with cloud services (experience)
  • Enhancing cloud resources for cost and performance (experience)

Responsibilities

  • Lead the design and execution of data architecture strategies that support business objectives
  • Mentor and guide team members to deliver exceptional solutions
  • Utilize team strengths to manage performance and fulfill client requirements
  • Collaborate with stakeholders to enhance cloud resources effectively
  • Drive innovation and technology adoption to advance data integration solutions
  • Foster a culture of continuous improvement and learning within the team
  • Uphold the firm's ethical standards and business conduct
  • Implement strategic planning to achieve project success and quality outcomes

Benefits

  • general: Medical
  • general: Dental
  • general: Vision
  • general: 401k
  • general: Vacation
  • general: Sick leave
  • general: Bonus

Travel Requirements

Up to 80%

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Tags & Categories

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PwC logo

GenAI Python Systems Engineer-Manager

PwC

GenAI Python Systems Engineer-Manager

PwC logo

PwC

full-time

Posted: December 8, 2025

Number of Vacancies: 1

Job Description

GenAI Python Systems Engineer-Manager

GenAI Python Systems Engineer-Manager

Job Category Data and Analytics Engineering Level Manager Specialty/Competency Data, Analytics & AI Time Type Full time Travel Requirements Up to 80% Job ID 676299WD Location(s) NC-Raleigh, NC-Charlotte, IL-Chicago, OH-Cincinnati, OH-Cleveland, SC-Columbia, OH-Columbus, TX-Dallas, VA-Richmond, MD-Baltimore, NY-Rochester, IL-Rosemont, CA-Sacramento, MA-Boston, MO-St. Louis, UT-Salt Lake City, TX-San Antonio, CA-San Diego, CA-San Francisco, CA-Silicon Valley, WA-Seattle, NY-Albany, CT-Stamford, FL-Tampa, OH-Toledo, GA-Atlanta, TX-Austin, DC-Washington, CO-Denver, IA-Des Moines, MI-Detroit, NY-Buffalo, NJ-Florham Park, TX-Fort Worth, NC-Greensboro, CT-Hartford, TX-Houston, IN-Indianapolis, MI-Grand Rapids, CA-Irvine, FL-Jacksonville, MO-Kansas City, NV-Las Vegas, AR-Little Rock, CA-Los Angeles, KY-Louisville, AL-Birmingham, AR-Fayetteville, NY-Melville, FL-Miami, WI-Milwaukee, MN-Minneapolis, TN-Nashville, LA-New Orleans, US-Hybrid, NY-New York, OK-Oklahoma City, PA-Philadelphia, AZ-Phoenix, PA-Pittsburgh, OR-Portland

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important 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 in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.


As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide and mentor your team, delivering top-quality solutions while leveraging team strengths and managing performance to meet client expectations. You play a crucial role in collaborating with stakeholders, enhancing cloud resources, and embracing technology and innovation to improve data architecture and integration solutions.

Responsibilities

- Lead the design and execution of data architecture strategies that support business objectives

- Mentor and guide team members to deliver exceptional solutions

- Utilize team strengths to manage performance and fulfill client requirements

- Collaborate with stakeholders to enhance cloud resources effectively

- Drive innovation and technology adoption to advance data integration solutions

- Foster a culture of continuous improvement and learning within the team

- Uphold the firm's ethical standards and business conduct

- Implement strategic planning to achieve project success and quality outcomes

What You Must Have

- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics

- 5 years of experience

What Sets You Apart

- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus

- Proficient in Python and SQL

- Experience with Docker and containerized deployments

- Skilled in AI techniques enhancing LLMs

- Experience in prompt engineering for LLM optimization

- Implementing data integration solutions using AWS, Azure, GCP

- Utilizing AWS CloudFormation, Azure Resource Manager, Terraform

- Building and deploying DevOps pipelines with cloud services

- Enhancing cloud resources for cost and performance


Learn more about how we work: https://pwc.to/how-we-work

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.

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. 

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.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $99,000 - $232,000. 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

#LI-Hybrid

GenAI Python Systems Engineer-Manager

Locations

  • Raleigh, NC, United States
  • Charlotte, NC, United States
  • Chicago, IL, United States
  • Cincinnati, OH, United States
  • Cleveland, OH, United States
  • Columbia, SC, United States
  • Columbus, OH, United States
  • Dallas, TX, United States
  • Richmond, VA, United States
  • Baltimore, MD, United States
  • Rochester, NY, United States
  • Rosemont, IL, United States
  • Sacramento, CA, United States
  • Boston, MA, United States
  • St. Louis, MO, United States
  • Salt Lake City, UT, United States
  • San Antonio, TX, United States
  • San Diego, CA, United States
  • San Francisco, CA, United States
  • Silicon Valley, CA, United States
  • Seattle, WA, United States
  • Albany, NY, United States
  • Stamford, CT, United States
  • Tampa, FL, United States
  • Toledo, OH, United States
  • Atlanta, GA, United States
  • Austin, TX, United States
  • Washington, DC, United States
  • Denver, CO, United States
  • Des Moines, IA, United States
  • Detroit, MI, United States
  • Buffalo, NY, United States
  • Florham Park, NJ, United States
  • Fort Worth, TX, United States
  • Greensboro, NC, United States
  • Hartford, CT, United States
  • Houston, TX, United States
  • Indianapolis, IN, United States
  • Grand Rapids, MI, United States
  • Irvine, CA, United States
  • Jacksonville, FL, United States
  • Kansas City, MO, United States
  • Las Vegas, NV, United States
  • Little Rock, AR, United States
  • Los Angeles, CA, United States
  • Louisville, KY, United States
  • Birmingham, AL, United States
  • Fayetteville, AR, United States
  • Melville, NY, United States
  • Miami, FL, United States
  • Milwaukee, WI, United States
  • Minneapolis, MN, United States
  • Nashville, TN, United States
  • New Orleans, LA, United States
  • Hybrid, United States
  • New York, NY, United States
  • Oklahoma City, OK, United States
  • Philadelphia, PA, United States
  • Phoenix, AZ, United States
  • Pittsburgh, PA, United States
  • Portland, OR, United States

Salary

99,000 - 232,000 USD / yearly

Skills Required

  • Pythonintermediate
  • SQLintermediate
  • Leadershipintermediate
  • Analyticsintermediate
  • Taxintermediate
  • Auditintermediate
  • Cloudintermediate
  • AWSintermediate
  • Azureintermediate

Required Qualifications

  • 5 years of experience (experience)

Preferred Qualifications

  • Proficient in Python and SQL (experience)
  • Experience with Docker and containerized deployments (experience)
  • Skilled in AI techniques enhancing LLMs (experience)
  • Experience in prompt engineering for LLM optimization (experience)
  • Implementing data integration solutions using AWS, Azure, GCP (experience)
  • Utilizing AWS CloudFormation, Azure Resource Manager, Terraform (experience)
  • Building and deploying DevOps pipelines with cloud services (experience)
  • Enhancing cloud resources for cost and performance (experience)

Responsibilities

  • Lead the design and execution of data architecture strategies that support business objectives
  • Mentor and guide team members to deliver exceptional solutions
  • Utilize team strengths to manage performance and fulfill client requirements
  • Collaborate with stakeholders to enhance cloud resources effectively
  • Drive innovation and technology adoption to advance data integration solutions
  • Foster a culture of continuous improvement and learning within the team
  • Uphold the firm's ethical standards and business conduct
  • Implement strategic planning to achieve project success and quality outcomes

Benefits

  • general: Medical
  • general: Dental
  • general: Vision
  • general: 401k
  • general: Vacation
  • general: Sick leave
  • general: Bonus

Travel Requirements

Up to 80%

Target Your Resume for "GenAI Python Systems Engineer-Manager" , PwC

Get personalized recommendations to optimize your resume specifically for GenAI Python Systems Engineer-Manager. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "GenAI Python Systems Engineer-Manager" , PwC

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data and Analytics EngineeringProfessional ServicesConsulting

Related Jobs You May Like

No related jobs found at the moment.