Risk Services - Data Security Manager

PwC is hiring a Risk Services - Data Security Manager in Singapore, Singapore. Level rates it ; you can apply on PwC.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
PwC mentions visa sponsorship in this posting.
Level lists 3,800+ other open roles at PwC.

AI in this role

Line of Service

Assurance

Industry/Sector

TMT X-Sector

Specialism

Cybersecurity & Privacy

Management Level

Manager

Job 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.

Join PwC's Cybersecurity & Privacy practice in Singapore as a Data Security Manager. We are seeking an experienced professional to guide top-tier clients, mentor a growing team, and serve as a subject matter expert. This role bridges the gap between technical implementation, strategic advice, and regulatory compliance, focusing on Data privacy regulations such as PDPA, modern DLP and data classification technology, and secure cloud architecture.

Key Responsibilities

Lead data security engagements from strategy and roadmap development to final delivery.

Architect and advise on technical controls, including:

Data Discovery & Classification

Data Loss Prevention (DLP)

Encryption technologies and Key Management

On Premise and Cloud data security

Translate regulatory requirements (such as PDPA, GDPR and other regional / global regulations) into actionable technical and operational controls.

Mentor, coach, and develop junior consultants, fostering their careers and building team capability.

Support business development by building client relationships and contributing to proposals.

Required Experience & Skills

7+ years in cybersecurity with a focus on data security and protection.

Expertise and experience in Data Protection regulations is required.

Proven client facing and project delivery experience, preferably in professional services.

Experience with data security technologies: Data Classification, DLP, Encryption, IAM, data security in cloud platforms (AWS, Azure, and GCP).

A passion for mentoring and developing teams.

Preferred Qualifications

Tertiary degree in a relevant field (e.g., IT, Cybersecurity, Computer Science).

Certifications such as CISSP, CISM, CIPP, CDPSE.

Cloud security certifications (AWS, Azure, GCP).

Experience in Financial Services (MAS requirements), Technology, or Public Sector.

A track record of contributing to business development efforts.

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, Coaching and Feedback, Communication, Creativity, Data Access Control, Data Loss Prevention (DLP), Data Security, Data Security Standards, Embracing Change, Emotional Regulation, Empathy, Encryption, Incident Response Plan, Inclusion, Information Security, Intellectual Curiosity, Internet Protocol Security (IPsec), Learning Agility, Optimism, Professional Courage, Protecting Proprietary Information, Relationship Building {+ 18 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Job Posting End Date

How we rate this

Risk Services - Data Security Manager at PwC rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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.