Role Description We are seeking an Artificial Intelligence Security Architect to contribute to major projects. The Artificial Intelligence Security Architect is responsible for defining the security architecture, governance, and risk management frameworks for AI and machine learning systems across the organization. This senior role ensures AI technologies are designed, deployed, and operated securely, ethically, and in compliance with regulatory requirements. The architect works closely with AI engineering teams, cloud architects, GRC leaders, and executive stakeholders to embed security and trust into AI-driven solutions. The role will be remote. Qualifications - Deep understanding of AI/ML architectures and lifecycle. - Strong knowledge of AI security threats and mitigations. - Expertise in cloud AI platforms and secure cloud architecture. - Strong background in cybersecurity architecture and risk management. - Familiarity with AI governance and ethical AI frameworks. - CISSP, ISO 27001 Lead Implementer, NIST AI RMF Practitioner, CCSP (Cloud Security), AI governance or ethics certifications (an asset). Requirements - Define enterprise AI security architecture and guardrails. - Establish secure reference architectures for AI platforms, models, and data pipelines. - Design controls to mitigate AI-specific threats (model abuse, data poisoning, adversarial attacks). - Align AI security strategy with Zero Trust and defense-in-depth principles. - Architect AI governance frameworks aligned with NIST AI RMF, ISO standards, and regulatory requirements. - Define AI risk classification, impact assessment, and control baselines. - Support AI auditability, explainability, transparency, and accountability. - Architect secure MLOps pipelines with integrated security controls. - Define access, identity, secrets management, and logging for AI platforms. - Ensure secure use of third-party and open-source AI models. - Define data protection architecture for AI datasets and outputs. - Ensure compliance with privacy laws (GDPR, Law 25, PIPEDA). - Architect anonymization, encryption, and data governance mechanisms. - Act as senior advisor on AI security and trust. - Mentor analysts and guide AI engineering teams. - Communicate AI risks and mitigation strategies to executives and boards. Benefits - 4 weeks of cumulative vacation starting from day one. - Flexible working hours. - Professional Development Allowance (PDA) for training, computer equipment, and physical activities. - Training tailored to your areas of expertise. - Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary. - Modular group insurance plan. - Public transportation or parking reimbursement when required. - Referral bonuses. - 11 statutory holidays. - Personal days. - An active social life (5to7 events, social club, healthy snacks, coffee, and more).

Role Description The AI Native, Senior Strategic Analyst will help power the growth of ConsumerAffairs by delivering analytical support across our sales and marketing organizations. This AI-native individual will leverage advanced tools (including generative AI) to streamline insights, automate reporting, and uncover new opportunities to optimize business performance. This role sits at the intersection of business analytics, marketing strategy, and operations. The ideal candidate combines technical rigor with creative thinking, thrives in a fast-paced environment, and is obsessed with data integrity and storytelling. This is a critical, forward-facing position that will directly influence strategic decisions and shape the trajectory of key vertical goals and performance. - Strategic Analysis - Perform ad hoc and recurring analyses that inform decision-making across marketing campaigns, channel performance, pricing, lead gen, and partner growth. - Provide analysis and insights for lifecycle and product teams to help drive the business forward, including business cases and scenario modeling for key initiatives. - Presentation of Insights - Build presentation-ready deliverables summarizing key insights, trends, and recommendations. - Support leadership in preparing materials for partner meetings and internal reviews. - Data Aggregation & Quality - Develop a deep understanding of the lifecycle and product pipeline, including core audience segmentation and event-level data. - Conduct ongoing data analysis to identify when key functionality is not performing as intended and proactively flag or escalate issues. - Reporting & Dashboarding - Develop and maintain recurring dashboards and reports used by sales, marketing, and leadership. - Use AI tools (e.g., ChatGPT, CoPilot, Tableau GPT, etc., Claude, Cursor) to automate repetitive reporting workflows and assist with quick data exploration. - Project Support - Partner with lifecycle and product teams to drive strategy forward by developing a deep understanding of OKRs, identifying key areas of opportunity, and delivering analytical support that moves the needle on critical initiatives. Qualifications - Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field. - 2-4 years of experience in data analysis, business intelligence, or a related role. - Industry experience is beneficial. Requirements - Proficiency in data visualization tools (e.g., Tableau, Power BI) and advanced Excel skills. - Understanding of data warehouse and data mining, a plus. - Familiarity with BI technologies (e.g. Microsoft Power BI, Qlik). - Knowledge of SQL is required and Python is a plus. - Proven abilities to take initiative and be innovative. - Strong analytical and problem-solving skills, with the ability to translate data into actionable insights. - Demonstrated ability to leverage AI and generative AI tools (e.g., ChatGPT, Claude, CoPilot) to accelerate analysis, automate workflows, and surface actionable insights. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Short Term & Long Term Disability - Training & Development

Role Description We are seeking an AI Adoption Lead to drive the adoption, integration, and scaling of artificial intelligence across business and IT teams. This role ensures AI initiatives move beyond pilots to deliver measurable, sustained business value by embedding AI into real workflows while aligning with governance and operating-model requirements. The role will be remote. Qualifications - Bachelor’s degree in Business, Technology, Change Management, or related field - 6+ years of experience in change management, transformation, or technology adoption - Proven experience driving adoption of complex technologies in enterprise environments - Strong understanding of AI concepts and AI-enabled delivery models - Excellent communication, facilitation, and stakeholder management skills Requirements - Experience supporting AI or GenAI programs in regulated environments - Familiarity with AI governance and responsible-AI practices - Consulting or client-facing transformation experience - Experience defining adoption metrics and value realization frameworks Benefits - 4 weeks of cumulative vacation starting from day one - Flexible working hours - Professional Development Allowance (PDA) for training, computer equipment, and physical activities - Training tailored to your areas of expertise - Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary - Modular group insurance plan - Public transportation or parking reimbursement when required - Referral bonuses - 11 statutory holidays - Personal days - An active social life (5to7 events, social club, healthy snacks, coffee, and more)

• Leading the identification and scoping of AI/ML use cases applicable to (T)BMD fire-control coordination and IAMD operational challenges. • Reviewing existing NIAG SG300 reports and TBMD simulation data to establish baseline knowledge and identify relevant datasets. • Designing a baseline data architecture and methodological framework for the responsible use of advanced AI technologies within the BMD domain, informed by NATO’s current AI architecture and near-term plans. • Conducting feasibility studies on emerging AI/ML computational techniques (such as machine learning, deep learning, reinforcement learning, and large language models) and assessing their potential operational benefit for identified use cases. • Developing and evaluating AI/ML software prototypes and demonstrators for selected BMD use cases at NATO UNCLASSIFIED level in the NATO Software Factory (NSF). All development to take place in NSF and to use existing LLMs where needed (to make it easier to migrate to NS). • Preparing and providing subject matter (BMD AI) briefings, expert reports, and feasibility study documentation related to the project work. • Developing and documenting a responsible AI framework aligned to the NATO Principles of Responsible AI Use (PRU), as outlined in the NATO AI Strategy, but specifically tailored to the BMD context. This work should follow NATO ambition and align with existing work on the topic as required. • Planning and delivering subject matter (BMD AI) training and knowledge transfer sessions to the NCIA project team and a wider NCIA community, focusing on the BMD case. NCIA will share currently available AI training material with the contractor team.