Databricks Mosaic AI - Manager

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving 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 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, you’ll 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 team you will lead, mentor, and manage a team of data scientists, ML engineers, and GenAI developers to deliver enterprise-grade AI solutions. As a Manager you will motivate and inspire your team, securing project success while maintaining elevated standards and fostering meaningful client relationships. This is an exciting opportunity to shape the future of GenAI technologies and make a significant impact in a collaborative and innovative work environment.

Responsibilities

• Lead and mentor a team of data scientists, ML engineers, and GenAI developers
• Secure successful project delivery while upholding quality standards
• Foster relationships with clients to enhance collaboration
• Inspire team members to achieve their peak performance
• Drive the implementation of enterprise-grade AI solutions
• Identify and leverage opportunities for innovation in GenAI technologies
• Manage project timelines and resource allocation effectively
• Promote a culture of continuous improvement and learning within the team

What You Must Have

• Bachelor's Degree
• 6 years of experience in technical/technology experience
• Oral and written proficiency in English required

What Sets You Apart

• Bachelor's or Master's Degree in Data Science
• Relevant certifications in data science or GenAI technologies
• Demonstrating leadership in managing and mentoring teams
• Excelling in programming with Python, R, or Scala
• Proficiency in machine learning libraries like TensorFlow or PyTorch
• Architecting enterprise-grade GenAI solutions on Databricks
• Implementing data governance using Unity Catalog
• Understanding data privacy and compliance regulations
• Familiarity with LLM-backed agent frameworks