Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Manager
Job Description & Summary
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.
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.
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 Engineering team you will lead transformative projects in Generative AI, driving innovation and collaboration. As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to design and implement top-performing architectures while mentoring exceptional teams. Join us at PwC US - Acceleration Center to shape the future of AI solutions and enjoy a competitive compensation package with ample opportunities for professional growth.
Responsibilities
- Lead innovative projects in Generative AI to drive transformation
- Serve as a strategic advisor in designing top-performing architectures
- Mentor and develop top-performing teams to enhance collaboration
- Identify and implement solutions that leverage advanced data analytics
- Foster a culture of innovation and continuous improvement
- Collaborate with cross-functional teams to achieve project goals
- Maintain alignment with industry standards and leading practices
- Contribute to the strategic direction of AI solutions within the firm
What You Must Have
- Bachelor's Degree in computer science, Data Science, or a related field
- 13 years of experience in technical/technology roles
- Oral and written proficiency in English required
What Sets You Apart
- Bachelor's or master's degree in Computer Science or Data Science preferred
- Possession of relevant solution architecture certificates preferred
- Advanced programming skills in Python
- Proficiency in data processing frameworks like Apache Spark
- Knowledge of foundational models such as GPT-4 and Claude
- Experience with event-driven architectures and real-time data processing
- Familiarity with Azure DevOps and LLMOps tools
- Understanding of containerization technologies like Kubernetes and Docker
- Ability to operate effectively in a dynamic, fast-paced environment
Travel Requirements
Not Specified
Job Posting End Date
