Consultant, Privacy
Current Job Position Available:
INQ Consulting Corporation (INQ) is a premier consulting firm specializing in data, focusing on data governance, privacy, cyber readiness, and emerging technologies. We are on a mission to help our clients do great things with data.
INQ is seeking an individual who has privacy experience to support our privacy consulting projects and other operational privacy initiatives. The successful candidate will work on a range of privacy projects that span our service lines in Canada and internationally. This position is ideal for an individual seeking to leverage their experience in privacy and expand or develop their consulting skills. The position is remote within Canada.
Description of the ideal candidate:
The ideal candidate is entrepreneurial, inquisitive, and excited about our vision to help our clients innovate responsibly. We are passionate about data, and the right candidate for this role will be too.
You have experience providing privacy advice in various industries, but experience with health information privacy is an asset. You have worked internally as a privacy officer, or you have had experience as a privacy consultant in a reputable consulting firm. You are an excellent writer and researcher, and you think creatively and strategically. Though you may not write computer code, you have enough working knowledge of IT systems to perform privacy impact assessments and have
done so in past roles. You can draft compliant and straightforward policies and procedures that meet client needs.
You are organized, motivated, and self-directed. You love to solve problems and find innovative solutions. You like working with others, but you are also comfortable working independently. You are interested in being active in the privacy community and you have already started to develop a presence.
Role:
A Privacy Consultant at INQ will thrive in pursuing the following:
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Participating in client engagements through a range of client-facing and support activities,
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including:
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Research
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Strategic planning
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Business analysis
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Developing a range of content for clients, such as strategic plans, needs assessments, privacy impact assessments, reports, stakeholder engagement materials, and privacy and information governance policies and programs
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Applying project management and coordination skills and tools to support team members and clients to deliver client and internal projects effectively
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Facilitating client meetings and stakeholder engagements
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Contributing to business development activities, including sector research, preparing proposals and presentations, and participating in industry networking events
Desired skills:
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Bachelor’s degree required; advanced degree in a related field (e.g., data, science, informatics, business administration or law preferred)
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Demonstrated education and/or work experience in information privacy
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Demonstrated knowledge of major Canadian privacy and access laws, particularly PHIPA and PIPEDA, and knowledge of EU data protection laws are assets
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Strong stakeholder engagement and customer services skills, including exceptional communications skills and solid public speaking/presentation skills, are a must
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Strong written communication skills, including presentation development, are also a must
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Related certifications such as CPHIMS, CIPP/C/E/US or CIPM would help you stand out
INQ Consulting Corporation commits to developing, implementing, and maintaining best practices
and strategies to enhance equality, diversity and inclusion. We make this commitment at all stages of
the employment life cycle: recruitment, retention and advancement.
Accommodations will be provided upon request throughout the hiring process as required under the
INQ Consulting Corporation AODA Employment Standard policy and the Accessibility for Ontarians
with Disabilities Act (AODA). Should you need accommodation, please let us know when you submit
your resume.
Please send your resume and a cover letter to info@inq.consulting
Only those chosen for an interview will be contacted.
Founding Engineer
Current Job Position Available:
About the company
We’re an AI startup that ships AI-native products to highly regulated sectors—think banks, hospitals, and public-sector agencies where an audit trail matters as much as a killer UX. Our stack blends open-source LLMs, vendor APIs, and our own secret sauce to give enterprises “wow” moments. We run lean, bias to action, and celebrate prototypes that make it into production.
About the role
You’ll be the Founding Engineer on a small, senior team. One week you might wire a Bedrock-hosted RAG service; the next you’re pair-designing an adaptive UI for clinicians, or untangling IAM policies so a finance client’s CISO can sleep at night. You’ll own multiple tracks end-to-end—ideation, proof-of-concept, SOC-2-friendly hardening, and scaled rollout—while steering product, design, and data loops so they talk to each other in real time. Ambiguity is the norm; autonomy is the reward.
What we’re looking for
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Technical depth: CS/EE/Stats degree (or equivalent “dropped-out-to-ship” story) and fluency in Python, TypeScript, basic MLOps, and infra-as-code
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Model deployment chops: you’ve pushed hosted or fine-tuned models to AWS (SageMaker, Bedrock, ECS) or Azure (ML, OpenAI) and know the trade-offs
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Backend instincts: comfortable with container orchestration, event-driven services, blue-green or canary deploys, and observability hygiene
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Regulated-env awareness: familiarity with SOC 2, HIPAA, PCI, or similar and how they influence data architecture
and UX
What you’ve done
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Shipped at least one AI-powered product from zero to thousands of concurrent users— either in an internship or as a side project or even an academic deliverable
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Built scalable services (K8s, Fargate, or serverless) that stayed upright under load, with latency budgets you
actually met
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Integrated LLMs or vector search into customer-facing workflows, then watched the metrics to iterate
Technical stack
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Cloud & ML AWS (Bedrock, SageMaker, Lambda, Fargate), Azure (ML, OpenAI, Functions), occasional self-hosted GPUs on Kubernetes
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Languages Python (FastAPI, LangChain), TypeScript (Node/React), a dash of Go/Rust for latency-sensitive bits
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Data & Storage Postgres, DynamoDB, Redis, S3, Pinecone/pgvector for embeddings, Kafka/EventBridge for async flows
Expectations
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Remote with in-person hybrid time
If you’re itching to turn ambiguous “what-ifs” into regulated-ready AI products,

