BMO

Financial Services

DataLossPreventionEngineer

$89–166k Chicago, Illinois, United States 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, Automation Scripting. Strengthen data loss prevention. Protect sensitive data exfiltration”

Industry & Context.

Financial Services
Problems you'll solve

Problem solving

Eligibility Requirements

7/24/365 support

What They're Looking For.

Must Have

3 yrs DLP tools experience, 3 yrs DSPM experience, Implement and manage DLP solutions, 3+ years PowerShell Scripting, 3+ years MS Power Tools experience, 1-2 years AI Security experience, Understand data exposure risks in AI, Foundational AI Fundamentals knowledge

Nice to Have

Netskope experience, Proofpoint experience, MS Purview experience, Cloud security knowledge, SaaS security knowledge

What You'll Do.

Strengthen data loss prevention

Protect sensitive data exfiltration

Develop automation scripts

Maintain automation scripts

Design security controls

Enforce security controls

Support AI implementations

Build automated workflows

Enhance security operations

Enhance compliance operations

Monitor Information Security systems

Restore Information Security systems

Handle Information Security systems

Provide customer service

Maintain security tools

Maintain security applications

Create activity reports

Action service requests

Coordinate incident management

Facilitate incident management

Engage 3rd party providers

Recommend process changes

Recommend system changes

Integrate security processes

Integrate security systems

Provide subject matter expertise

Identify opportunities

Stay abreast of trends

Achieve business results

Provide analytical support

Provide technical support

Handle non-routine situations

Apply Risk Management Framework

Make risk informed decisions

How You'll Work.

Team & Collaboration

Work across business lines; Work with technology teams; Work with senior stakeholders; Build effective relationships

Communication Scope

Deliver presentations

Process & Methodology

Project planning

Full Job Description

Application Deadline: 08/30/2026 Address: 320 S Canal Street 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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