Generative AI Director

Job Description & 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 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

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics Engineering team you will lead the architecture and delivery of innovative agentic AI solutions for banking and financial services. As a Director you will set the strategic direction, drive business development, and maintain impactful executive-level client relations while mentoring the next generation of leaders. This role offers the chance to shape the future of AI in finance, leveraging your knowledge to create scalable solutions that deliver measurable business outcomes.

Responsibilities

• Lead the design and implementation of advanced AI solutions for the financial sector
• Drive strategic initiatives to enhance business development efforts
• Cultivate substantial relationships with executive-level clients
• Mentor and develop future leaders within the organization
• Identify market trends and leverage insights to create scalable solutions
• Promote innovative thinking and problem-solving across teams
• Maintain adherence to industry standards and leading practices
• Foster collaboration across departments to amplify project success

What You Must Have

• Bachelor's & Master's Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, Informatics
• 16 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Experience building enterprise AI platforms preferred
• Knowledge of banking domains such as retail banking preferred
• Experience with LLMOps and evaluation frameworks preferred
• Familiarity with responsible AI and governance frameworks preferred
• Excelling in executive communication and storytelling skills preferred
• Hands-on experience with modern AI frameworks preferred
• Proven experience in banking and financial services preferred
• Understanding of AI governance and operational controls preferred
• Ability to engage across technical and business stakeholders preferred