4 дня назад
Product Delivery Analyst (AI)
32$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Delivery Analyst (AI): Turning product strategy into iterative delivery through requirements, backlog management, workflow analysis, sprint coordination, and delivery metrics with an accent on UAT, defect triage, and cross-functional execution. Focus on mapping system interfaces, analyzing delivery KPIs, coordinating model releases or MLOps discussions, and improving feedback loops through retrospectives and root-cause analysis.
Location: Remote, with hybrid options in Toronto
Compensation: $32 per hour
Company
is a Toronto-based Language Synthesis AI company developing technology that removes language barriers and enables access to information in any language.
What you will do
- Lead discovery sessions and document user stories, data models, and acceptance criteria.
- Maintain the product backlog, map system interfaces, and manage delivery dependencies.
- Analyze workflows and data to improve processes, customer value, and delivery outcomes.
- Partner with Product Owners and Scrum Masters to prepare sprint goals, monitor progress, and ensure increment completion.
- Draft test scenarios, coordinate user-acceptance testing, triage defects, and validate functionality against requirements and compliance standards.
- Report delivery status, risks, roadmap updates, KPIs, and process improvement opportunities to leadership and cross-functional partners.
Requirements
- Pursuing or recently completed a Master’s degree in Engineering Management, Information Systems, Business Analytics, or a tech-focused MBA.
- Experience with Agile practices, Jira or Azure DevOps, and writing testable user stories.
- Proficiency in SQL, Python, or Excel for delivery metrics and dashboards.
- Strong systems thinking, stakeholder coordination, UAT, experimentation, and root-cause analysis skills.
- Ability to discuss AI model releases or MLOps in technical sessions and translate technical details into business impact.
- Commitment of 30–40 hours per week for full-time participation or at least 15 hours per week for part-time participation.
Culture & Benefits
- Work in a startup preparing for an IPO and gain insight into the process.
- Work directly with senior management and advisory board members.
- Take ownership of real projects with measurable outcomes.
- Operate in a fast-changing environment with opportunities to learn and take on multiple responsibilities.
- Duration is 520 hours: three months full-time or six months part-time.
- Inclusive, respectful, and safety-conscious workplace.
Hiring process
- Application followed by a first, second, and third interview.
- Group discovery session and next-step form.
- Contract signing and onboarding.
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