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Business Analyst Cybersecurity

Highspring
Montréal, CAN
Full-time
Mid-Senior
Onsite
Discovered 3 days ago
Business analysisRequirements elicitation and documentationProcess documentationUse case developmentCybersecurityData protection

Full Job Posting

Context and mandate

The Data Protection capability includes cryptography, data loss prevention (DLP), post-quantum cryptography (PQC), and artificial intelligence security (CYBAI).

The role supports the 2027–2029 roadmap, the 2026 control maturity assessment, and intake for 2027 demand management and budget assessment.

Initial emphasis is on cryptography and PQC, with support for DLP and CYBAI as priorities evolve.

The analyst works with Product Owners, security segments, technical teams, and partner business units.

Responsibilities

  • Develop the 2027–2029 roadmap across cryptography, DLP, PQC, and AI security.
  • Gather and formalize business and functional requirements for post-quantum transition and cryptographic agility, aligning them with standards and controls.
  • Document processes and use cases affected by cryptographic changes with technical teams.
  • Organize information for quantum risk assessment and migration prioritization.
  • Document migration scenarios, track requirements, and facilitate business-security collaboration.
  • Help define requirements and document processes for DLP and AI security.
  • Support the 2026 control maturity assessment across all four pillars.
  • Prepare intake deliverables for 2027 demand management and budget assessment; coordinate relevant stakeholders.

Requirements

  • Proven business analysis experience, including requirements elicitation and documentation, process documentation, and use case development.
  • General understanding of security risks, data protection, and compliance considerations.
  • Experience with IT modernization projects, ideally in cybersecurity, and ability to work with multidisciplinary teams.
  • Ability to coordinate stakeholders and produce structured deliverables within tight timelines.
  • Proficiency using generative AI tools, such as GitHub Copilot and writing assistants, for documentation, synthesis, and requirements structuring.

Assets

  • Security or data protection experience is an asset.
  • Exposure to cryptography, PKI, or certificate lifecycle management is an asset; deep cryptography expertise is not required.
  • Exposure to DLP or AI security is an asset.
  • Familiarity with OSFI B-13, E-21, E-23, or Québec's Law 25 is an asset.
  • Experience with SAFe, Jira, or Confluence is an asset.

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