07 Aug
|
S.i. Systems
|
Ontario
07 Aug
S.i. Systems
Ontario
Requirements Engineering : Expertise in eliciting, documenting, and prioritizing complex business and functional requirements using techniques like workshops, interviews, and process modeling.
Project Delivery : Proven track record in Agile/Scrum or Waterfall methodologies, managing deliverables, and ensuring compliance with SDLC standards.
Hands-on experience on creating user stories on Jira and documenting requirements on confluence.
Systems Analysis & Design : Proficiency in translating business needs into technical solutions, including process flow diagrams, swim lanes, use cases, and system architecture.
Stakeholder Management : Solid ability to collaborate with cross-functional teams (business, IT, vendors) to align solutions with strategic goals.
Strategic Thinking : Ability to align technology solutions with business outcomes and regulatory requirements .
Communication : Strong communication skills to engage with technical teams (developers, data engineers) and business stakeholders to validate requirements and logic.
Mentorship : Experience guiding junior BSAs and fostering knowledge-sharing in cross-functional teams.
GenAI & Automation :
Familiarity with generative AI tools (e.g., Cohere, OpenAI, Google Gemini) and their applications in banking (e.g., chatbots, document automation, risk analysis).
Knowledge of AI/ML workflows, prompt engineering, and ethical AI governance frameworks.
Nice-to-haves: Process Optimization : Experience in identifying inefficiencies and designing streamlined workflows (e.g., BPMN).
Industry-Specific Knowledge:
Messaging & Voice Platforms :
Hands-on experience with omnichannelplatforms (e.g., customer support bots, IVRs)
Must-haves: API & Data Integration Expertise
Proven experience in API discovery , documentation, and lifecycle management.
Ability to analyze data flow architectures , including how domain sources transmit data downstream (e.g., batch files , ETL processes, real-time streaming).
Familiarity with EDW (Enterprise Data Warehouse) structures and table access protocols.
Hands-on knowledge of APIs (REST, SOAP, GraphQL) .
Business Rules & Transformation Analysis
Skill in identifying and documenting business rules , data transformations, and enrichment processes applied to datasets before downstream delivery.
Experience mapping current-state business logic (e.g., fee reversal recommendations) and associated data requirements for action execution.
Authentication & Security Knowledge
Understanding of API authentication schemes (OAuth, API keys, JWT, etc.) and their impact on data access/integration.
Deliverable-Focused Mindset
Ability to produce structured deliverables:
API inventories and data lineage diagrams.
Business rule/transformation documentation.
Technical Tool Proficiency
Hands on experience with tools like Postman , Swagger/OpenAPI , SQL, and data modeling software.
Familiarity with EDW tools (e.g., Snowflake, Teradata) and API gateways.
Problem-Solving & Analytical Skills
Capacity to dissect complex systems, identify gaps in data flow, and propose solutions for process improvements
Capacity to dissect complex systems, identify gaps in data flow, and propose solutions for process improvements
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📌 Senior BSA (Ontario)
🏢 S.i. Systems
📍 Ontario