MDM -IDMC - Manager

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.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

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

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
  
  

• Collaborate with business analysts, data architects, and stakeholders to gather and analyze data requirements, and translate them into effective technical solutions.
• Provide technical leadership and guidance to the development team, ensuring adherence to best practices and industry standards.
• Oversee the optimization and troubleshooting of data integration processes to enhance performance, reliability, and data quality.
• Develop comprehensive documentation for data integration architectures, processes, and workflows.
• Monitor and manage data integration operations, addressing issues and ensuring successful execution of data jobs.
• Implement and enforce data governance and compliance standards across all integration processes.
• Conduct code reviews and ensure solutions are scalable, maintainable, and aligned with technological advancements.
• Collaborate with cross-functional teams to facilitate the integration of data from diverse sources into cloud-based environments such as data warehouses or data lakes.
• Stay abreast of emerging trends and technologies in cloud data integration and recommend strategic improvements.