Job Description

Line of Service

Advisory
Industry/Sector

Not Applicable
Specialism

Advisory - Other
Management Level

Manager
& Summary

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.




Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
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.

Job Title: GenAI Manager



Role Description:

The GenAI Manager at PwC US will be responsible for leading and managing a team of developers and data engineers, with a focus on building Python-based applications and solutions leveraging artificial intelligence (AI) and machine learning (ML) technologies. The role requires expertise in application development, data engineering, and a strong understanding of AI/ML concepts to drive innovation and deliver high-quality solutions.



Education:

- Bachelor's degree in Computer Science , Software Engineering, Information Systems, or a related field ( Master's degree preferred)


- Relevant certifications in Python programming, AI, ML, or data engineering (e.g., Python Institute Certified Associate, TensorFlow Developer Certificate, AWS Certified Big Data - Specialty) are highly desirable



Number of Years of Experience:

- Minimum of 8 years of experience in software development, with a focus on Python-based application development and data engineering


- At least 3 years of experience in a managerial or leadership role, overseeing teams and driving strategic initiatives



Required Skills:

- Proficiency in GenaAI based application development and a focus on leveraging AI and ML technologies


- Strong Experience in Python programming and related frameworks (e.g., Django, Flask)


- Extensive experience in building scalable and robust applications using Python


- Solid understanding of data engineering principles and technologies (e.g., ETL, data pipelines, data warehousing)


- Familiarity with AI and ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch )


- Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services


- Experience with database systems (e.g., SQL, NoSQL) and data modeling


- Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions


- Excellent leadership and team management skills, with the ability to motivate and develop a high-performing team


- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams


- Self-motivated and proactive, with a passion for learning and staying up-to-date with emerging technologies and industry trends



Responsibilities:

- Lead and manage a team of developers and data engineers, providing guidance, mentorship, and support to team members


- Design, develop, and deploy Python-based applications and solutions that leverage AI and ML technologies


- Oversee the development and maintenance of data pipelines, ensuring data quality and integrity


- Collaborate with cross-functional teams, including data scientists, business analysts, and UX/UI designers, to deliver innovative and scalable solutions


- Stay up-to-date with the latest advancements in AI, ML, data engineering, and software development, and identify opportunities to apply them in client projects


- Provide technical guidance and support to team members, fostering knowledge sharing and continuous improvement


- Assist in project management activities, including estimating effort, tracking progress, and ensuring timely delivery of solutions


- Collaborate with clients to understand their specific needs and develop tailored solutions to address their challenges in AI, ML, and data engineering


- Ensure adherence to coding standards, best practices, and quality assurance processes



Education •(if blank, degree and/or field of study not specified)•

Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications •(if blank, certifications not specified)•

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}
Desired Languages •(If blank, desired languages not specified)•

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?