About The Position

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. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model 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 As part of the Data and Analytics Engineering team you lead the development and deployment of innovative data solutions using Palantir Foundry. As a Senior Manager you guide large projects, achieving operational excellence and engaging in client interaction, while leveraging your knowledge to drive outcomes and solve complex problems. You also play a strategic advisory role, motivating and coaching teams to deliver quality results and contribute to the firm's success.

Requirements

  • Bachelor's Degree
  • 8 years of experience

Nice To Haves

  • Certifications preferred: Foundry Data Engineer, Foundry Solution Architect, or Foundry Application Developer
  • Excelling in customer-focused solutions
  • Strength in analytical and problem-solving skills
  • Building applications with large datasets
  • Collaborating with diverse technical teams
  • Familiarity with Python and/or Typescript
  • Experience with Palantir Foundry and AIP
  • Delivering production enterprise AI solutions

Responsibilities

  • Utilize proficiency to drive impactful results and address intricate challenges
  • Serve as a strategic advisor, inspiring and coaching teams to achieve excellence
  • Foster a culture of peak performance and continuous improvement
  • Develop innovative processes to enhance project outcomes
  • Apply systems thinking to identify opportunities and validate solutions
  • Uphold the firm's ethical standards and business conduct

Benefits

  • PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Number of Employees

5,001-10,000 employees

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