R & R - Data and Analytics Engineering Artificial Intelligence and Machine Learning - Manager

Industry/Sector

Not Applicable

Specialism

Conduct and Compliance

Management Level

Manager

Job Description & Summary

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.

In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes.

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.

Minimum years experience required

7 - 12 years of relevant experience in software development, machine learning, analytics, or AI solution development.

Additional application instructions

Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or related field.

Strong Python skills and working knowledge of SQL.

Experience building and deploying AI/ML solutions.

Familiarity with Docker and containerized deployment workflows.

Strong analytical, problem-solving, and stakeholder communication skill

Preferred Qualifications

Experience building multi-agent or agentic workflows with LangGraph or equivalent.

Working knowledge of vector databases (OpenSearch, Pinecone, Weaviate) including index configuration.

Working knowledge of MCP (Model Context Protocol) frameworks for model context management and enterprise AI integration.

Cloud platform experience:

• AWS (Bedrock, Lambda, S3, OpenSearch), Azure AI, or GCP Vertex AI.
• Enterprise or consulting background — comfortable delivering across ambiguous requirements and multiple stakeholders.
• Exposure to JavaScript/TypeScript, Node.js, or modern front-end frameworks (React, Next.js).
• Experience with backend API frameworks such as FastAPI, Flask, or Express.
• Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, or equivalent).
• Working knowledge of Docker and containerized deployment workflows.

Travel Requirements

Job Posting End Date