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Senior Coordinator — Policy and Safety Governance

Senior Coordinator — Policy and Safety Governance

发布于 大约 9 小时前

普通员工/个人贡献者

圣保罗
高级经验
全职员工
仅现场办公
学历未注明
法务、风险与合规
Ai/Ml
Compliance
Cross-Functional Collaboration
Qa
Risk Management
Sop
Training Programs

AI 估算 · 15k–25k

Senior role in risk/compliance in Brazil; competitive for multinational; local market benchmark.

职位详情

关于这个职位

This role focuses on building and running safety operations training programs, handling daily incident management, designing incident frameworks, and improving quality standards. You will work closely with cross-functional teams to develop SOPs, drive continuous improvement, and support AI/ML model feedback.

最低要求

+ years in safety operations, risk, compliance, or BPO management

Experience building training programs, calibration sessions, and SOPs at scale
Strong data analysis — able to read dashboards, spot trends, and propose actions
Experience designing incident or safety policies, severity frameworks, or classification systems
Proven cross-functional project management (Risk, Ops, Anti-Fraud, Investigations, Law Enforcement)
Continuous improvement mindset (Lean, Six Sigma, or similar)
Fluent English (written and spoken)

工作职责

Build and run training programs for operations/BPO teams — SOPs, safety policies, calibration sessions, and knowledge tests

Write, translate, and version policy documents and taxonomies (incident classification, severity matrices, inclusion/exclusion rules)
Run day-to-day incident handling: ticket queues, SLAs, escalation paths, root cause analysis
Design and improve incident management systems and escalation frameworks
Design QA scoring, calibration, and error categorization; track KPIs (pass rate, AHT, overturn rates)
Lead improvement projects with measurable uplift; use data to drive decisions
Set quality standards for AI/SIR agent outputs; run structured audits and feed results back into model improvement
Connect Policy & Safety with Risk, Operations, Anti-Fraud, Investigations, Insurance/Litigation, and Law Enforcement
Produce cross-team SOPs and adapt internal policy for external partners and BPO vendors

优先资格

AI/ML exposure — labeling, taxonomy/policy design, model feedback, agent auditing

QA scoring models, uplift analysis, or audit methodology experience
Background in insurance, regulatory compliance, or law enforcement coordination

AI 洞察

优缺点分析

优点

  • Gain exposure to AI/ML model feedback and auditing, a high-demand skill set.
  • Work with a global team in a fast-growing international business (Keeta).
  • Opportunity to shape safety policies and incident frameworks from the ground up.
  • Collaborate with diverse functions: risk, anti-fraud, law enforcement, and insurance.
  • High responsibility for incident response and SLA adherence, which can be stressful.
  • Requires strong cross-functional coordination across time zones and cultures.
  • Remote team management and policy adaptation across different regulatory environments.
  • This role is ideal for a mid-career professional with a background in risk, compliance, or safety operations who enjoys building structured programs and working with data and cross-functional teams.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Advance to a Policy & Safety Manager or Director role, overseeing larger teams and strategic initiatives.
  • Move into specialized areas such as AI governance, risk analytics, or cross-regional compliance.
  • Transition into broader operations leadership or global safety strategy roles.
  • You will design and deliver training programs for operations and BPO teams, covering SOPs, safety policies, and knowledge tests.
  • You will handle daily incident management, including ticket queues, escalations, and root cause analysis.
  • You will set quality standards for AI/SIR agent outputs and conduct structured audits to improve model performance.
  • You will create cross-team SOPs and adapt internal policies for external partners and vendors.
  • Strong foundation in safety operations, risk, compliance, or BPO management with at least 4 years of experience.
  • Proven ability to build scalable training programs, calibration sessions, and SOPs.
  • Data analysis skills to interpret dashboards, identify trends, and propose actions.
  • Experience designing incident policies, severity frameworks, and classification systems.

申请策略

  • Tailor your cover letter to highlight your understanding of safety operations in a global context.
  • Prepare examples of how you've driven measurable improvements in policy or incident management.
  • Emphasize your experience in designing training programs, calibration sessions, and SOPs for large-scale operations.
  • Highlight data-driven projects where you improved incident handling or quality metrics.
  • Showcase cross-functional collaboration experience, especially with risk, legal, or enforcement teams.
  • Mention any exposure to AI/ML labeling, taxonomy, or model feedback loops.
  • If not familiar, learn about AI/ML model evaluation and auditing techniques.
  • Consider getting certified in Lean, Six Sigma, or similar continuous improvement methodologies.

面试指南

  • Use the STAR method (Situation, Task, Action, Result) for behavioral questions about past projects.
  • For data-related questions, explain your analytical approach: gather data, identify trends, propose and implement solutions, and measure impact.
  • For collaboration questions, emphasize communication, stakeholder alignment, and creating shared SOPs.
  • Describe a time you designed and implemented a training program for a large operations team. What was the outcome?
  • How do you prioritize and manage multiple incident queues under tight SLAs?
  • Can you give an example of how you used data to identify a safety policy gap and drive a fix?
  • How have you collaborated with cross-functional teams like risk, legal, or anti-fraud on a policy or incident?
  • What is your experience with AI/ML model evaluation or auditing? How do you ensure quality?

职位点评

67
综合评分

Senior risk/compliance role with AI/ML exposure, global impact, but on-site and no explicit WLB signals.

从薪资福利、成长空间、工作节奏和岗位方向综合评估,方便横向比较。

更适合这类人
This role is best suited for candidates who prioritize skill development and cross-functional exposure over work-life balance and immediate compensation clarity.
表现最好
成长发展
相对薄弱
工作生活
薪资福利65
成长发展80
工作生活50
使命价值70

薪资福利

65中等

Salary is not specified but likely competitive for a senior role at a multinational in São Paulo. Benefits not mentioned in JD, so limited evidence.

薪资信号未披露(AI估算:15K-25K/月)

成长发展

80较高

Strong signals for skill growth: AI/ML exposure, cross-functional projects, and continuous improvement initiatives. However, no explicit career path mentioned.

技术前沿前沿/新兴技术
技术栈AI/ML、model feedback、agent auditing、taxonomy、policy design
成长机会calibration sessions、knowledge tests、improvement projects
业务类型ambiguous

工作生活

50较低

Role is onsite only with no flexibility mentioned. Likely standard office hours, but no WLB signals in JD. São Paulo commute can be time-consuming.

工作模式仅现场办公
办公地点未明确
加班情况未提及(无法判断)

使命价值

70中等

The role contributes to safety and compliance in a fast-growing industry (food delivery tech). Positive social impact through rider safety and policy governance.

行业发展高速增长赛道
社会影响正向社会影响力较高
使命信号帮大家吃得更好,生活更好
创新程度积极采用新技术
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