About The Role

BIS Safety Softwareis a SaaS company on a mission to change how organizations manage safety, learning, and compliance. Since 2006 we've been building software in a space where trust and data integrity matter, and we're looking for a Software Risk and Compliance Analyst who will be embedded with our technology and product teams, focused entirely on the software itself.

About the Role

You'll be in the room with product and technology every day, knowing the software as well as the people building it, and making sure that new modules, feature improvements, and changes to how data moves keep us aligned with PCI DSS, SOC 2, GDPR, and the data governance commitments we make to our clients.

Risk gets identified while a feature is still being sketched out, the right requirements land in the case up front, and nothing stalls later because a compliance question surfaced too late. When scope shifts partway through, you're the one who notices that what was approved is no longer what's being built.

You'll have the autonomy to raise a concern to anyone here, and we'll expect you to use it. We'll also expect you to bring a way forward. The job is enablement, not gatekeeping, and the difference matters to us.

You'll spend a lot of your time in project tickets and inside the software. The people who love this role are the ones who find that genuinely interesting.

This is an in-person role based out of our Sherwood Park, AB office.

In This Role, You Will Be Expected To

Risk assessments: own the assessments for new features, new modules, and any change to how our software collects, stores, or moves data.
Early involvement: join feature mapping and product planning sessions, ask the questions that surface risk before development starts, and get the right requirements written into the case.
Ticket to ship: follow cases through their full life, watch for scope creep, and re-review when something changes so approvals stay valid.
Hands-on verification: work in the software yourself to confirm it behaves the way our documentation and our controls say it does.
AI features: assess how AI capabilities in our product handle personal data, where that data is processed, and whether it stays within the boundaries we've committed to.
AI in the build: join the conversations about how we connect AI tools to our data, asking where information gets processed, what a model can reach, and how it stays contained.
Audit readiness: review what has changed ahead of our SOC 2 and PCI DSS cycles, confirm our controls still match reality, and close gaps before an auditor finds them.
Practical solutions: partner with developers and product to find a compliant path forward so work keeps moving.

You Might Be the Right Fit If You Are

Experienced with a background in risk, compliance, privacy, or data governance
Detail-oriented to an unusual degree , the person who reads a case and catches what nobody addressed
Experienced in digging until you actually understand it , especially when it comes to how data moves through a system
Willing to speak up and stay with it , raising a concern clearly and following through until it's resolved
Able to see the second-order impact , the other module, the other commitment, the thing this quietly touches
Following AI and privacy developments on your own , closely enough to spot when a new capability changes the risk picture
Drawn to technology and happy spending your days in project tickets and software
Curious about how AI works underneath the demo , enough to ask whether a tool is doing what it claims with our data
Self-directed , comfortable with autonomy and setting your own priorities
Solution-minded , arriving with options rather than only objections

Qualifications we are looking for

A background in risk, compliance, privacy, data governance, or information security.
Working familiarity with at least one control framework or privacy regime, such as SOC 2, PCI DSS, GDPR, ISO 27001, or something comparable
Strong technical aptitude and real curiosity about how software works under the hood, including how data is stored, transmitted, and shared between systems
Experience with the privacy and data governance questions that come with AI features: what data a model can reach, where it's processed, and what leaves our environment.
Comfort working day to day in project management and ticketing tools, following a case from scoping through to release

Bonus points if you have

Post-secondary education in a relevant field, such as compliance, information security, computer science, or engineering, or equivalent hands-on experience
A background in software engineering or QA/QC
Experience with AI governance, or a genuine interest in the privacy and data questions that come with AI features
Experience working inside a software or SaaS company