Director Assurance Tech Function Lead

At PwC, the focus of individuals in data and analytics engineering is on utilizing advanced technologies and techniques to create robust data solutions for clients. Your role is pivotal in converting raw data into actionable insights, facilitating informed decision-making and fostering business growth. If you are in data science and machine learning engineering at PwC, your primary objective will be to apply advanced analytics and machine learning techniques to derive insights from extensive datasets and steer data-driven decision-making. Your responsibilities will involve developing predictive models, performing statistical analysis, and crafting data visualizations to address intricate business challenges. In your position, you will be responsible for translating the organization's vision into reality, setting an example, and motivating others to follow suit. Your contribution is essential in propelling business growth, shaping the trajectory of client engagements, and guiding the upcoming leaders in the industry. Upholding PwC's reputation is a key aspect of your role, as you understand that qualities such as quality, integrity, inclusivity, and a commercial mindset are fundamental to our achievements. Creating a conducive work environment while ensuring maximum client satisfaction is paramount. Additionally, nurturing the potential of your team members and collaborating across the PwC Network are vital components of your role, where you comprehend trade-offs and leverage the collective strength of the network. Your skill set should encompass various competencies, knowledge, and experiences required to lead effectively and deliver value at this level. These may include, but are not limited to: - Leading in alignment with the organization's values and brand. - Innovating new ideas, solutions, and structures to drive thought leadership. - Employing creativity to solve problems from multiple perspectives and encouraging others to do the same. - Balancing long-term and short-term thinking, focusing on details as well as the big picture. - Making strategic decisions and implementing change by addressing system-level enablers. - Promoting technological advancements to create an environment where people and technology thrive together. - Identifying market gaps and translating opportunities into success for the Firm. - Adhering to and upholding professional and technical standards, the Firm's code of conduct, and independence requirements. In terms of technical requirements, proficiency in Python, .Net, and development environments is essential. Experience in product development and leadership is also a key aspect of this role, where you will lead Quality Assurance, Developers, Architects, and Product Owners. An understanding of technology to monitor and manage product quality is a crucial expectation from a leadership standpoint.,