Technology Risk Management Manager
PwC is hiring a Technology Risk Management Manager in Singapore, Singapore. Level rates it ; you can apply on PwC.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- PwC mentions visa sponsorship in this posting.
- Tools and skills the posting cites include AI Governance, AI safety and risk management.
- Level classifies it as a senior role.
- Level lists 3,700+ other open roles at PwC.
AI in this role
Lead technology risk assessments and AI governance frameworks to ensure responsible adoption of artificial intelligence and emerging technologies.
Line of Service
AssuranceIndustry/Sector
Not ApplicableSpecialism
IFS - Risk & Quality (R&Q)Management Level
ManagerJob Description & Summary
At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting, we help clients build, accelerate, and sustain momentum. Find out more at www.pwc.com.How will you value-add?
A career in Technology Risk Management within the Risk & Quality function provides an opportunity to shape how PwC identifies, assesses, and manages technology and AI-related risks across all Lines of Service. In this manager role, you will combine sound risk judgement, practical technology awareness, and strong stakeholder leadership to support the responsible adoption of digital and emerging technologies.
The Technology Risk Management team partners with stakeholders across the firm to provide pragmatic solutions, risk guidance, and governance oversight throughout the lifecycle of technology solutions. The team helps ensure that innovation is delivered responsibly, securely, and in compliance with internal policies, professional obligations, and applicable regulatory requirements.
You will work closely with technology teams, business stakeholders, Risk & Quality functions, and regional teams to enable the adoption of emerging technologies while maintaining an effective technology risk management framework.
Key Responsibilities
Lead and facilitate Technology Risk Assessments (TRAs), including scoping, risk identification, control evaluation, documentation, and clear, proportionate recommendations for remediation or acceptance.
Support the design, implementation, enhancement, and continuous improvement of technology risk management processes and controls with an initial focus on AI governance.
Contribute to the development and maintenance of technology risk policies, standards, guidance materials, practice aids, and templates
Assess risks associated with Artificial Intelligence (AI), Generative AI, Machine Learning, and other emerging technologies.
Lead or support risk reviews of AI-enabled solutions and tools, including use cases, data handling, model or system limitations, human oversight, transparency, security, third-party dependencies, and ongoing monitoring.
Contribute to the design and operation of AI governance processes and controls, translating responsible AI principles, regulatory expectations, and internal policies into practical review, approval, documentation, escalation, and monitoring requirements.
Prepare risk reports, dashboards, management information, and metrics for leadership and governance forums
Analyse risk trends and identify opportunities to improve risk management practices and operational efficiency.
Support initiatives to automate, streamline, and enhance technology risk assessment and reporting processes
Assist in special projects, regulatory reviews, and firm-wide risk initiatives as required
Preferred Knowledge, Skills and Experience
At least 5 years of relevant experience in technology risk management, Ai governance, IT risk, information security, technology audit, regulatory compliance, enterprise risk management, or related field.
Working knowledge of AI and modern technology is required. Candidates should understand, at a practical level, how AI and Generative AI solutions are developed, acquired, deployed, and used, as well as the associated risks, limitations, and governance considerations. Deep engineering or coding expertise is not required.
Knowledge of responsible AI principles and recognised AI risk or governance frameworks, standards, and regulatory developments, with the ability to translate them into practical business requirements and controls.
An AI governance certification or equivalent professional credential is advantageous but not mandatory
Strong analytical, problem-solving, project management, and stakeholder management skills.
Excellent written and verbal communication skills, with the ability to present complex risk issues clearly to different audiences.
Detail-oriented, proactive, and able to manage multiple priorities while delivering high-quality outcomes.
Strong interpersonal skills, a collaborative mindset, and the confidence to engage effectively with stakeholders at all levels.
Self-motivated with a willingness to learn, adapt, and thrive in a fast-paced environment
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Best Practices, Coaching and Feedback, Communication, Competitor Intelligence, Conducting Research, Creativity, Data Analysis, Embracing Change, Emerging Technologies, Emotional Regulation, Empathy, Go-to-Market Strategies, Inclusion, Intellectual Curiosity, IT Project Lifecycle, Learning Agility, Market Access, Marketing Initiatives, Marketing Strategy, Market Monitoring, Market Share Analysis {+ 21 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
YesGovernment Clearance Required?
YesJob Posting End Date
How we rate this
Technology Risk Management Manager at PwC rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where compliance was part of your work. What did you do?
- Tell me about a project where ai ethics was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Safety, Risk Management, Compliance, AI Ethics, and Stakeholder Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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