Industry/Sector
Not Applicable
Specialism
Assurance
Management Level
Senior Associate
Job Description & Summary
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.
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.
Focused on relationships, you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives, needs, and feelings of others.
- Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self-awareness, enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
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
- As part of the AI Tech team you will lead teams and manage client accounts for successful project delivery. As a Senior Associate, you will analyze complex problems, mentor junior staff, and maintain standards while delivering technology-enabled, data-driven solutions. This role offers the chance to cultivate meaningful client relationships and employ strategic thinking using advanced technologies like AI and cloud solutions.
Responsibilities
- Manage auditing, consulting, and testing engagements with a focus on solution implementation
- Deliver innovative, technology-driven solutions utilizing data analytics
- Support strategic planning and execution of client projects
- Maintain knowledge of and compliance with current and emerging standards
- Enhance project delivery using firm methodologies, technology resources, and data visualization toolsWhat You Must Have
- Bachelor's Degree
- 4
- 8 years of specific professional experience in one or more of the following areas: AI/ML model testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or digital systems
- Experience with model evaluation frameworks, testing protocols, and/or trust standards such as NIST AI Risk Management Framework or responsible AI practices
- Familiarity with the data science / AI lifecycle and related data governance, data engineering, and model deployment disciplines as well as data science /AI development technologies
- Familiarity with AI concepts, including how use cases are being applied across business functionsWhat Sets You Apart
- Preferred Field(s) of Study: Computer Science, Data Processing/Analytics/Science, Statistics, Management Information Systems & Accounting, Mathematics, Physics, Economics and Finance & Technology, Business Administration/Management, Accounting & Technology, Regulatory Compliance preferred
- Leveraging an understanding of fundamental and technological risks, processes, and internal controls related to transparency, reporting, and artificial intelligence
- Knowledge of NIST, ISO and/or other leading business and risk management frameworks for AI
- Designing and developing AI governance operating models, technical standards, policies and procedures
- Operating within essential internal processes of a professional services firm
- Demonstrating knowledge of legal and regulatory landscapes relevant to AI
- Managing projects assessing governance, risk, and control programs
- Leading AI/ML and emerging technology control efforts
- Familiarity with tensorflow, pytorch, or langchain coding frameworks and Cloud platforms
- Designing AI governance operating models and policies
- Coaching teams on emerging data technologies and analytics-driven assessments
- Translating technical concepts for non-technical stakeholders
- Familiarity with the data science and AI lifecycle
- Subject matter knowledge to support the development of thought leadership
Travel Requirements
Not Specified
Job Posting End Date
