Risk Services - AI Factory (AI Technology Architect), Senior Manager
PwC is hiring a Risk Services - AI Factory (AI Technology Architect), Senior Manager in Singapore, Singapore. Level rates it ; you can apply on PwC.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: 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 Python, AWS and Azure.
- Level classifies it as a senior role.
- Level lists 3,700+ other open roles at PwC.
AI in this role
Senior manager leading AI architecture and implementation across enterprise solutions within PwC's AI Factory.
Line of Service
AssuranceIndustry/Sector
Not ApplicableSpecialism
AnalyticsManagement Level
Senior 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 370,000 people in 149 countries. 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.The AI Factory is dedicated to driving AI innovation and excellence across our network. Our mission is to facilitate collaboration across PwC network and territories to build faster and impactful AI solutions for client service delivery.
Responsibilities:
- Architect and implement end-to-end AI products tailored to specific business needs.
- Lead business development: identify and shape new opportunities, drive go-to-market activities, craft compelling proposals, build relationships, and shape solution narratives to secure new business.
- Build and mentor teams: lead and coach multidisciplinary teams of data scientists and engineers while cultivating a culture of innovation and knowledge sharing.
- Serve as a technical and strategic advisor: counsel clients on trends and best practices in AI strategy and implementation.
Requirements:
- Minimum 8 years’ experience across data, AI, and analytics, including several years in consulting or a comparable internal transformation role leading initiatives from strategy through delivery.
- Proven leadership with a track record of managing teams and delivering complex, enterprise‑level projects.
- AI/ML: solid grounding in machine learning fundamentals and hands-on experience delivering AI/ML solutions.
- Cloud platforms: experience with leading clouds, e.g., AWS, Azure, and Google Cloud.
- Programming: Proficiency in at least one back-end language (e.g., Python) and familiar with at least one front-end language (e.g., JavaScript/TypeScript)
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, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Influence, Intellectual Curiosity, Java (Programming Language) {+ 33 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
YesGovernment Clearance Required?
NoJob Posting End Date
How we rate this
Risk Services - AI Factory (AI Technology Architect), Senior Manager at PwC rates 75 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
- Tell me about a project where ai architecture was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where team leadership was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where ai implementation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Architecture, Machine learning, Team Leadership, Cloud Computing, and AI Implementation. 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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