At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy.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.
Job Role
We are seeking an experienced and analytical Manager to join our team. As a Manager in the DAT - Tech & Data team, you will work closely with global engagement teams and clients to design, develop, and deploy AIdriven solutions that solve complex business problems.This is a client-facing, delivery-focused role that requires strong technical expertise in AI/ML, Generative AI, NLP, and automation, excellent communicationskills, and the ability to drive conversations with both business and technical stakeholders.In this role you will lead client-facing discussions, facilitate requirement workshops, and translate complex business challenges into actionable AIarchitecture and delivery plans. You will oversee end-toend execution of AI engagements, ensuring quality, timeline adherence, and alignment with PwC’sstandards of excellence.The candidate will report to a Senior Manager. The ACteam functions as an extension of our overseasEngagement Teams and works closely with those teams as well as directly with clients.
Requirements
Preferred Knowledge/Skills:
- Proven experience designing, building, and scaling AI/ML solutions particularly in generative
AI, with a strong track record in product development, not just advisory work.
- Solid knowledge of machine learning, natural language processing (NLP), and experience with tools and models like Cursor.ai, ChatGPT, Claude, and others.
- Deep understanding of AI architecture, context engineering, and spec-driven development methodologies, with expertise in background processing techniques.
- Proficient in the full ML lifecycle, including data preprocessing, feature engineering, model selection, training, tuning, and validation.
- Strong grasp of DevOps/MLOps practices, cloud infrastructure, and automation to support scalable, production-grade AI systems.
- Identifying and pursuing business opportunities, supporting clients in realizing measurable benefit from AI-driven workflows.
- Design and implement AI transformation initiatives that drive performance.
- Excellent analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
- Managing complex internal and external stakeholder relationships.
- Thriving in a dynamic consulting environment, with a desire to grow within this setting.
- Managing client engagements and internal projects, including budgets, risks, and quality assurance.
- Preparing reports and deliverables for clients and other stakeholders.
- Developing and maintaining internal and external relationships.
- Identifying and pursuing business opportunities, supporting line management in proposal development, and managing, coaching, and supporting team members.
- Supporting Engagement Managers with engagement scoping and planning activities.
- Coaching team members in task completion.
- Performing advanced data analysis to support test procedures.
- Collaborating effectively with local and regional teams and clients.
- Supporting Engagement Managers in drafting client deliverables for review by Engagement Leaders.
- Managing project economics for engagement teams.
- Conducting basic review activities and providing coaching to junior team members.
Good To Have
- Advanced knowledge and understanding of financial risk management, operational risk management, and compliance requirements.
- Proficiency in data analytics tools (e.g., Alteryx, Power BI) and Microsoft suite tools (e.g., Word, Excel, PowerPoint).
- Experience with major ERPs such as SAP, Oracle, and/or technology security management.
- Programming skills in SQL, Databricks and hands-on experience in automation technologies.
- Accounting experience and consulting experience.
- Understanding of Responsible AI, governance, and AI explainability requirements for Assurance.
- Strong analytical skills with high attention to detail and accuracy.
- Excellent verbal, written, and interpersonal communication skills.
- Ability to work both independently and within a team environment.
Education/Qualification
- Bachelor’s or Master’s Degree in Engineering, Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field.
- More than 7 years of experience in relevant roles, preferably in a public accounting firm or a large corporation
- Previous experience in shared service delivery centers.
- Certifications such as Azure AI Engineer, CISA, CPA (partial), or relevant data science/cloud certifications are preferred
