AI-Driven Localization Workflow Analyst

TRSB Inc.

Montreal (administrative region)

On-site

CAD 70,000 - 100,000

Full time

6 days ago

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Job summary

TRSB Inc. is seeking a Business Analyst for AI and Localization Workflows in Canada. You will support innovation initiatives in AI-powered translation and localization processes, collaborating with Operations, Engineering, and DevOPS to ensure feasible solutions.

You will gather requirements, write user stories, map current workflows, and define success metrics to quantify ROI and efficiency gains.

Qualifications

3+ years in localization, preferably with a language service provider/translation company, working with AI translation workflows, MT, and TMS platforms.
Strong grasp of localization technologies, AI-driven translation solutions, and workflow automation.
Proven experience in business analysis, writing functional requirements, translating needs into actionable solutions.
Ability to write clear user stories and acceptance criteria for engineering teams.
Experience in process improvement, workflow design, and change management.
Experience in user journey mapping and identifying improvement opportunities.
Strong stakeholder management to drive consensus during technical transitions and adoption of new workflows.
Ability to analyze complex business problems and propose data-driven solutions.

Responsibilities

Assess Innovation Proposals: Evaluate and prioritize business and operational innovation requests, ensuring they address real challenges and deliver measurable benefits.
Define Business Problems: Work with stakeholders to identify pain points, define problem statements, and determine target audiences.
Requirement Gathering & Documentation: Document detailed business requirements, functional specifications, and user stories for development teams.
Business Case Development: Conduct cost-benefit analyses and ROI projections to justify investments within budgets.
Process Analysis & Optimization: Map current localization workflows, identify inefficiencies, and recommend AI-driven improvements.
Collaboration with Stakeholders: Work cross-functionally with Operations, Engineering, and DevOPS to ensure alignment.
User Story & Acceptance Criteria Writing: Develop clear user stories and acceptance criteria for engineering teams.
Pilot & Rollout Support: Support testing and adoption of new AI-driven workflows in localization operations.
Measure Impact: Define success criteria and track KPIs to measure implemented solutions.