BMO

Financial Services

DataLossPreventionEngineer

$83–155k Toronto, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Loss Prevention Engineer at BMO. Skills: Data Loss Prevention, AI Security, PowerShell Scripting, MS Power Platform. Strengthen data loss prevention capabilities. Protect sensitive data exfiltration”

What You'll Achieve.

Grow your career

Industry & Context.

Financial Services
Problems you'll solve

Analytical skills; Problem solving skills; Root cause analysis; Troubleshooting

Eligibility Requirements

7/24/365 support

What They're Looking For.

Must Have

3 yrs DLP tools, 3 yrs DSPM, 3+ years PowerShell Scripting, 3+ years MS Power Tools, 1-2 years AI Security, Foundational AI Fundamentals

Nice to Have

Netskope experience, Proofpoint experience, MS Purview experience, Cloud & SaaS security knowledge, Test and validate incidents

What You'll Do.

Strengthen data loss prevention capabilities

Protect sensitive data exfiltration

Implement and manage DLP Tools

Implement and manage DLP solutions

Develop and maintain automation scripts

Design and enforce security controls

Mitigate risks associated with AI systems

Support secure AI implementations

Build automated workflows

Enhance security operations

Enhance compliance operations

Monitor security tools

Maintain security tools

Create activity reports

Action service requests

Coordinate incident management

Deploy changes to production

Engage 3rd party providers

Recommend process changes

Integrate security systems

Provide subject matter expertise

Identify capability strengthening opportunities

Ensure high quality practices

Achieve business results

Provide consulting support

Provide analytical support

Provide technical support

Handle non-routine situations

How You'll Work.

Team & Collaboration

Work across business lines; Work with technology teams; Work with senior stakeholders; Collaborate with internal stakeholders; Collaborate with external stakeholders; Engage matrix areas

Communication Scope

Prepare presentations; Deliver presentations

Process & Methodology

Project planning

Full Job Description

Application Deadline: 08/30/2026 Address: 100 King Street West Job Family Group: Technology In a team at the forefront of protecting critical financial data across the enterprise. In this role, you’ll focus on **strengthening data loss prevention (DLP) capabilities to protect sensitive data exfiltration** using leading DLP tools and modern security practices—including emerging AI risk controls. You’ll work across business lines, technology teams, and senior stakeholders, giving you broad visibility and the opportunity to influence a mature and evolving data protection program. This is a unique opportunity to **build in-demand cybersecurity expertise** , and work with industry-leading tools to grow your career within a stable, highly respected organization that prioritizes security, collaboration, and innovation. *****This is a HYBRID role based in the office location noted in this posting****** **CORE/Essential Skills:** * **3 yrs of experience with any DLP tools and DSPM (** data security posture management approach on data security)**. E****xperience with Implementing and managing DLP solutions to protect data in motion, at rest, and in use across enterprise environments**. ( _DLP tools_ : Netskope, Proofpoint, MS Purview with 3+ years experience and Cloud & SaaS security knowledge as well as test and validate incidents from your tests * **3 + years in PowerShell Scripting & Programming:** Experience with creating and maintaining automation scripts and tools to streamline security operations and data protection processes. * **3 + years experience with ******MS Power** Tools ( Power BI, Power Apps, and Power Automate) as well as other MS Tools: **Leverage Microsoft Power Platform and related tools to **build automated workflows** and enhance security and compliance operation. * **1-2 years with AI Security and understand data exposure risks in AI Workflows :** Design and enforce security controls to mitigate risks associated with AI systems, models, and data usage.

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