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.

Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

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

• Lead in line with our values and brand.

• Develop new ideas, solutions, and structures; drive thought leadership.

• Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.

• Balance long-term, short-term, detail-oriented, and big picture thinking.

• Make strategic choices and drive change by addressing system-level enablers.

• Promote technological advances, creating an environment where people and technology thrive together.

• Identify gaps in the market and convert opportunities to success for the Firm.

• Adhere to and enforce 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 define and execute AI strategy aligned with PwC's Sustainability goals. As a Director you will set the strategic direction, lead business development efforts, and oversee multiple projects while maintaining impactful executive-level client relations.

Responsibilities

- Lead the development of AI solutions addressing sustainability challenges through advanced techniques

- Oversee the creation of web applications utilizing modern frameworks such as Angular and React.js

- Apply advanced AI methodologies to enhance project outcomes

- Mentor team members on recommended practices in design patterns and methodologies

- Work with diverse teams to drive AI-focused initiatives

- Promote innovation and responsible AI practices within the organization

What You Must Have

- Bachelor's Degree

- 10 years of technology leadership experience with substantial responsibility for AI or machine learning initiatives

What Sets You Apart

- Master's Degree in Business Administration preferred

- Familiarity with sustainability frameworks and standards

- Understanding of regulatory environments impacting sustainability

- Delivering AI-powered solutions in Sustainability or ESG

- Understanding AI/ML methodologies and traditional algorithms

- Hands-on experience with AI/ML frameworks and web technologies

- Defining and driving AI strategy for enterprise solutions

- Engaging clients and translating technical concepts into business

- Fostering a culture of innovation and responsible AI

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: $119,000 - $389,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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