Job Description
Specialty/Competency: Data, Analytics & AI
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 80%
At PwC, we are at the forefront of data and analytics engineering, driving innovation by transforming raw data into meaningful insights for our clients. As a Systems Engineer-Manager specializing in Generative AI (GenAI), you will play a pivotal role in designing and developing cutting-edge data solutions that enhance decision-making and propel business growth.
Your focus will be on building robust data infrastructure and systems that support efficient data processing and thoughtful analysis. You'll have the responsibility to develop and implement effective data pipelines, integration, and transformation solutions.
As a leader, you will inspire and motivate your team to achieve exceptional results. You will coach your team, leveraging their unique strengths while managing performance to meet and exceed client expectations. With your understanding of business operations, you will identify opportunities that contribute to the success of our firm. Integrity and authenticity will guide your leadership style as you promote our values and purpose in meaningful ways. You will embrace technology and innovation to improve service delivery and inspire your team to do the same.
Key Skills and Experience:
• Analyze and identify connections and interactions within complex systems.
• Take ownership of project planning, budgeting, execution, and successful completion.
• Collaborate closely with team leadership to ensure collective commitment to quality, timelines, and deliverables.
• Encourage team members to develop skills beyond their comfort zones.
• Effectively mentor and elevate team expertise.
• Use work reviews as opportunities for teaching and knowledge enhancement.
• Address conflicts and engage constructively in challenging conversations with stakeholders.
• Uphold professional and technical standards, including relevant PwC guidelines and codes of conduct.
As part of the Data and Analytics Engineering team, your leadership will drive the development and implementation of data architecture strategies that are aligned with business needs. You will mentor your team, deliver high-quality solutions, and effectively collaborate with stakeholders to optimize cloud resources while fostering a culture of innovation and continuous learning.
Responsibilities Include:
• Lead the design and execution of data architecture strategies that support key business objectives.
• Mentor and guide team members to deliver top-notch solutions.
• Utilize team strengths to manage performance and meet client requirements.
• Collaborate with stakeholders to optimize cloud resources effectively.
• Drive innovation and the adoption of technologies to enhance data integration solutions.
• Foster a culture of ongoing improvement and knowledge sharing within the team.
• Maintain the firm’s ethical standards and professional conduct.
• Implement strategic planning to achieve successful project outcomes and high-quality results.
What You Must Have:
• Bachelor's Degree in a relevant field such as Management Information Systems, Computer Science, Systems Engineering, or related disciplines.
• A minimum of 5 years of experience in a related area.
What Sets You Apart:
• Certification in cloud platforms (e.g., AWS, GCP, Azure) is an advantage.
• Proficiency in Python and SQL.
• Experience with Docker and container orchestration.
• Knowledge of AI techniques, particularly with regard to enhancing LLMs.
• Experience in prompt engineering for LLM optimization.
• Capabilities in implementing data integration solutions across cloud platforms.
• Familiarity with tools such as AWS CloudFormation, Terraform, and Azure Resource Manager.
• Experience in building and deploying DevOps pipelines with cloud services.
• Skills in optimizing cloud resources for performance and cost efficiencies.
The salary range for this position is: $99,000 - $232,000. Actual compensation will depend on individual skills, experience, qualifications, and applicable laws. All hired individuals are eligible for an annual discretionary bonus and are provided with a comprehensive benefits package, including medical, dental, vision, and more.
PwC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, or any other protected status. PwC does not sponsor H-1B visa applications, except as specified in our policy.
Applications will be accepted until the position is filled or the posting is removed. Please refer to our career webpage for information on anticipated application deadlines.
#LI-Hybrid
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 80%
At PwC, we are at the forefront of data and analytics engineering, driving innovation by transforming raw data into meaningful insights for our clients. As a Systems Engineer-Manager specializing in Generative AI (GenAI), you will play a pivotal role in designing and developing cutting-edge data solutions that enhance decision-making and propel business growth.
Your focus will be on building robust data infrastructure and systems that support efficient data processing and thoughtful analysis. You'll have the responsibility to develop and implement effective data pipelines, integration, and transformation solutions.
As a leader, you will inspire and motivate your team to achieve exceptional results. You will coach your team, leveraging their unique strengths while managing performance to meet and exceed client expectations. With your understanding of business operations, you will identify opportunities that contribute to the success of our firm. Integrity and authenticity will guide your leadership style as you promote our values and purpose in meaningful ways. You will embrace technology and innovation to improve service delivery and inspire your team to do the same.
Key Skills and Experience:
• Analyze and identify connections and interactions within complex systems.
• Take ownership of project planning, budgeting, execution, and successful completion.
• Collaborate closely with team leadership to ensure collective commitment to quality, timelines, and deliverables.
• Encourage team members to develop skills beyond their comfort zones.
• Effectively mentor and elevate team expertise.
• Use work reviews as opportunities for teaching and knowledge enhancement.
• Address conflicts and engage constructively in challenging conversations with stakeholders.
• Uphold professional and technical standards, including relevant PwC guidelines and codes of conduct.
As part of the Data and Analytics Engineering team, your leadership will drive the development and implementation of data architecture strategies that are aligned with business needs. You will mentor your team, deliver high-quality solutions, and effectively collaborate with stakeholders to optimize cloud resources while fostering a culture of innovation and continuous learning.
Responsibilities Include:
• Lead the design and execution of data architecture strategies that support key business objectives.
• Mentor and guide team members to deliver top-notch solutions.
• Utilize team strengths to manage performance and meet client requirements.
• Collaborate with stakeholders to optimize cloud resources effectively.
• Drive innovation and the adoption of technologies to enhance data integration solutions.
• Foster a culture of ongoing improvement and knowledge sharing within the team.
• Maintain the firm’s ethical standards and professional conduct.
• Implement strategic planning to achieve successful project outcomes and high-quality results.
What You Must Have:
• Bachelor's Degree in a relevant field such as Management Information Systems, Computer Science, Systems Engineering, or related disciplines.
• A minimum of 5 years of experience in a related area.
What Sets You Apart:
• Certification in cloud platforms (e.g., AWS, GCP, Azure) is an advantage.
• Proficiency in Python and SQL.
• Experience with Docker and container orchestration.
• Knowledge of AI techniques, particularly with regard to enhancing LLMs.
• Experience in prompt engineering for LLM optimization.
• Capabilities in implementing data integration solutions across cloud platforms.
• Familiarity with tools such as AWS CloudFormation, Terraform, and Azure Resource Manager.
• Experience in building and deploying DevOps pipelines with cloud services.
• Skills in optimizing cloud resources for performance and cost efficiencies.
The salary range for this position is: $99,000 - $232,000. Actual compensation will depend on individual skills, experience, qualifications, and applicable laws. All hired individuals are eligible for an annual discretionary bonus and are provided with a comprehensive benefits package, including medical, dental, vision, and more.
PwC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, or any other protected status. PwC does not sponsor H-1B visa applications, except as specified in our policy.
Applications will be accepted until the position is filled or the posting is removed. Please refer to our career webpage for information on anticipated application deadlines.
#LI-Hybrid
💡 Quick Summary
Seeking a career-building opportunity? The GenAI Python Systems Engineer - Manager position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Houston offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
