Director Assurance Tech Function Lead

At PwC, your role in data and analytics engineering involves leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your primary responsibility is to transform raw data into actionable insights, enabling informed decision-making and driving business growth. As part of the data science and machine learning engineering team, you will focus on using advanced analytics and machine learning techniques to extract insights from large datasets and support data-driven decision-making. Your tasks will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your position at PwC is crucial in driving business growth, shaping client engagements, and mentoring future leaders. By setting the vision and inspiring others to follow, you play a key role in upholding PwC's reputation for quality, integrity, and inclusion. You are expected to maintain a commercial mindset and create a positive working environment that maximizes client satisfaction. Collaboration with colleagues across the PwC Network is essential, as you work to leverage collective strengths and understand tradeoffs. To excel in this role, you must demonstrate the following skills, knowledge, and experiences: - Lead in alignment with PwC's values and brand. - Drive thought leadership by developing new ideas, solutions, and structures. - Solve problems creatively by exploring multiple angles and encouraging others to do the same. - Balance long-term and short-term perspectives, detail-oriented tasks, and big-picture thinking. - Make strategic decisions and drive change by addressing system-level enablers. - Promote technological advancements to create an environment where people and technology thrive together. - Identify market gaps and convert opportunities into success for the Firm. - Adhere to and enforce professional and technical standards, including PwC tax and audit guidance, the Firm's code of conduct, and independence requirements. Additionally, you should possess the following technical requirements: - Strong understanding of Python, .Net, and development environments. - Experience in product development and leadership. - Ability to lead Quality Assurance (QA) teams, Developers, Architects, and Product Owners. As a leader in this role, you are expected to understand technology to effectively monitor and manage product quality, driving value and success for the organization.,