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Job Description

On behalf of our client, Affinity is searching for a Senior Technical Business Analyst who will be the requirements and scoping anchor for AI&DI;'s internal build program. You translate business problems into well‑defined technical specifications, ensure delivery decisions are documented with full rationale, and bridge the gap between business stakeholders and a technical team working on AI, ML, and data platform initiatives. This is a hands‑on, delivery‑embedded role – not a governance‑only or documentation‑support function.

Core Responsibilities

- Lead requirements‑gathering sessions with business stakeholders – translate priorities into clearly scoped functional and technical specifications
- Define and document scope boundaries – what is in scope, what is explicitly out of scope, and why – for every internal AI build
- Maintain a decision history for each initiative so future enhancements don't require rediscovering prior assumptions or constraints
- Write acceptance criteria that engineers and QA can act on, not just business descriptions

Technical Collaboration

- Work directly with the AI Architect and Engineers to validate that requirements are technically feasible and appropriately scoped
- Define data requirements – data sources, quality expectations, volume, latency – feeding directly into engineering and ML pipeline work
- Pressure‑test solution designs against stated business requirements before development begins
- Participate in sprint planning and reviews; raise requirement gaps or misalignments early
- Shares team‑wide accountability for user and operational support,



and contributes to the continuous improvement of processes, practices, and products built and managed by AI&DI;

Delivery Documentation & Continuity

- Maintain solution specification documents (functional requirements equivalent) for all active and completed internal builds
- Ensure all artifacts are stored in shared, accessible locations – Teams, ClickUp, shared Claude projects – not siloed in email or personal drives
- Support knowledge transfer and handover readiness: new team members or external vendors brought in later should not require oral history orientation
- Contribute to standardizing templates for requirements, decisions, and support expectations across projects

Stakeholder Engagement & Reporting

- Act as the primary bridge between business unit contacts and the technical delivery team across AI&DI; initiatives
- Support intake – Stage 1 (Discovery) and Stage 3 (Planning) of the operating model – ensuring business problems are well‑framed before engineering begins
- Track and report delivery outcomes: are deployed solutions being used, for what, and how often – framed as outcomes accountability, not product analytics
- Coordinate with central IT and support stakeholders to ensure alignment on internal vs. vendor‑supported solution policies

Qualifications – Required





- Demonstrable ability to write functional requirements and acceptance criteria that engineering teams can build to without ambiguity
- Working knowledge of data concepts – pipelines, APIs, data models, SQL – sufficient to engage engineers as a peer, not just a translator
- Experience scoping projects with explicit out‑of‑scope documentation and stakeholder sign‑off

Strong Asset

- Background in real estate, asset management, or financial services
- Experience in a buy‑first / vendor‑oversight delivery mode

Top Skills Necessary

- 6–8 years of business analysis experience, with at least 4 years in a technical or data‑intensive context (AI, ML, data platform, enterprise software)
- Actively uses AI tools (Claude, Copilot, Cursor, or equivalent) as a daily work habit – vibe‑codes exploratory prototypes, uses AI to accelerate problem framing, and brings that builder instinct into team problem‑solving rather than waiting for engineers to do it
- Experience working alongside ML or AI engineering teams – understands enough about model inputs, outputs, and evaluation to scope requirements meaningfully
- Familiarity with LLM‑based systems, RAG architectures, or AI agents – doesn't build them, but can scope requirements around them

Compensation

Base salary range $100K – $120K

Equal Chance Employer

Affinity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit and business need.

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Apply on Kit Job: kitjob.ca/job/2fsdlq

📌 Senior Technical Business Analyst (Vancouver)
🏢 Affinity
📍 Vancouver