Director Assurance Tech Function Lead

Role Overview: At PwC, as a member of the data and analytics engineering team, your primary focus will be to utilize advanced technologies and techniques to develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, supporting informed decision-making, and driving business growth. Specifically, if you are working in data science and machine learning engineering, your main objective will be to apply advanced analytics and machine learning techniques to extract insights from large datasets and guide data-driven decision-making processes. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle complex business challenges. Key Responsibilities: - Translate the organization's vision into reality, lead by example, and inspire others to follow suit. - Contribute significantly to business growth, influence client engagements, and mentor future industry leaders. - Uphold PwC's reputation by embodying qualities such as quality, integrity, inclusivity, and a commercial mindset. - Foster a positive work environment while ensuring high levels of client satisfaction. - Nurture the potential of team members and collaborate effectively across the PwC Network, understanding trade-offs and leveraging collective strengths. Qualifications Required: - Proficiency in Python, .Net, and development environments. - Experience in product development and leadership roles, leading Quality Assurance, Developers, Architects, and Product Owners. - Understanding of technology to monitor and manage product quality. - Ability to lead in alignment with organizational values and brand. - Capacity to innovate new ideas, solutions, and structures to drive thought leadership. - Creativity in problem-solving and encouraging diverse perspectives. - Balancing long-term and short-term thinking, focusing on details and the big picture. - Making strategic decisions and driving change by addressing system-level enablers. - Promoting technological advancements to foster a harmonious environment for people and technology. - Identifying market gaps and translating opportunities into success for the Firm. - Adhering to professional and technical standards, the Firm's code of conduct, and independence requirements.,