Sustainability - Technology and AI Manager

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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
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.

The Opportunity
As part of the Data and Analytics Engineering team you will design secure, scalable architectures for Generative and Agentic AI, addressing sustainability challenges. As a Manager you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. This position provides an exciting opportunity to integrate advanced AI models into enterprise platforms while maintaining ethical compliance and driving innovation in the Capital Project & Infrastructure domain.
Responsibilities
- Address sustainability challenges through innovative AI solutions
- Lead and mentor teams to drive project success
- Uphold compliance with ethical standards and regulations
- Work with stakeholders to align on project goals
- Champion the use of reusable components and frameworks
- Analyze performance metrics to enhance user experience
What You Must Have
- Bachelor's Degree
- At least 5 years of experience
What Sets You Apart
- Master's Degree in Data Processing/Analytics/Science, Computer Science, Information Technology preferred
- Experience in deploying AI solutions for Sustainability domain
- Proficiency in Datadog, Splunk, and programming languages (C#, R, Scala)
- Leading and mentoring teams in AI initiatives
- Driving design and scaling of Generative AI solutions
- Championing ethical compliance and bias mitigation
- Integrating advanced models into enterprise platforms
- Aligning with stakeholders and regulations
- Demonstrating proven communication and collaboration skills
- Possessing proven leadership, problem-solving, and analytical abilities
- Advanced programming skills in Python
- Vast experience with ML/AI and Agentic AI frameworks
- Extensive knowledge of foundational and open-source LLMs
- Specialization in model adaptation techniques
- Competence in vector databases and semantic search
- Proven track record with cloud AI services and infrastructure
- Familiarity with event-driven architectures and containerization
- Experience operationalizing AI workflows using DevOps/LLM Ops tools
The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. 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.
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