Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
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.
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.
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 the design and governance of frontend architecture, securing quality user experiences across applications. As a Manager, you will motivate and inspire your team, leveraging their unique strengths to deliver exceptional results while managing client accounts and driving strategic initiatives.
Responsibilities
- Lead the design and governance of frontend architecture, establishing standards for component libraries, design systems, and UI frameworks (React, Angular, Vue.js) to ensure consistent, accessible user interfaces across teams.
- Define and enforce AI experience design standards focusing on conversational UX, transparency, explainability, and human-in-the-loop workflows for intuitive and trustworthy GenAI applications.
- Architect and govern scalable, secure backend systems and APIs (Node.js, Java Spring Boot, Python), including secure coding practices (OAuth 2.0, JWT, RBAC), data privacy compliance (GDPR, DPDP Act), and database architecture across SQL and NoSQL systems.
- Partner with product management to align technical delivery with product roadmaps, provide feasibility and risk assessments, and contribute to cloud deployment strategies including cost optimization and scaling of full-stack infrastructure.
- Lead and develop a diverse engineering team fostering collaboration, continuous improvement, and cross-functional skill development through knowledge sharing and internal learning initiatives.
- Maintain expertise in modern development tools, AI-augmented toolchains, and ensure governance of UX implementation standards including accessibility (WCAG) and responsive design principles across all frontend development.
What You Must Have
- Bachelor's & Master's Degree
- 8 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Deep expertise in modern front-end technologies including React, Angular, TypeScript, component libraries, responsive design, and front-end testing frameworks like Jest, Cypress, and Playwright.
- Strong knowledge of front-end performance optimization techniques such as lazy loading, code splitting, tree shaking, caching strategies, and bundle size reduction to deliver fast, responsive GenAI interfaces.
- Experience with front-end state management libraries (Redux, NgRx) for handling complex, data-intensive application states in GenAI applications.
- Proven capability in designing seamless integration between front-end and back-end systems via REST/JSON APIs, GraphQL, and real-time protocols like WebSockets and Server
- Sent Events, including implementation of end-to-end streaming UIs for LLM-powered applications.
- Skilled in driving technical alignment across front-end and back-end teams, ensuring consistency in design patterns, shared components, API contracts, and integration testing strategies.
- Expertise in defining and managing CI/CD pipeline standards for front-end projects using tools like GitHub Actions, Azure DevOps, or Jenkins, and experience deploying solutions on major cloud platforms (AWS, Azure, GCP), supported by relevant AI or solution architecture certifications.
Travel Requirements
0%
Job Posting End Date
