Senior AI Analyst - QA
- Build Understanding of Operations: Work closely with the QA team and with Operations functional areas to build a deep understanding of the processes being evaluated and what good looks like
- Customer Interaction Evaluations: Introducing AI-scorecards to evaluate 100% of customer contacts (chat & telephony), using python and prompt engineering techniques
- Back Office/Non-Customer Facing Activities: Applying AI and Analytics techniques to evaluate 100% of both manual and automated back-office tasks/actions to ensure performed correctly
- Evaluation and Optimisation of AI performance : Designing eVals and metrics to ensure the AI is performing as expected and monitor it on an ongoing basis
- Surfacing and Analysing Results: Using SQL, Python, and Tableau - making key data accessible and actionable for stakeholders, identifying patterns, trends, or recurring issues
- Regulatory Issues: Highlight where processes or conversations may have caused customer detriment or regulatory breaches leading to swift manual review and remediation
- Effective Agent Performance Insight: Provide Management and Agents the ability to promptly view dashboards displaying overall performance, as well as highlighting area of development with detailed reasoning commentary and suggested improvement actions.
- Real time QA: Work with product, engineering and data science teams to build a roadmap to real-time QA, enabling agents to make corrections in-the-moment.
- Stakeholder Collaboration: Partner with Operations leaders, Risk & Compliance, Product, and Customer Experience teams to ensure QA insights translate into meaningful business improvements and align with regulatory and strategic priorities.
- Change Enablement: Work with stakeholders across functions to embed AI-driven QA insights into training, process redesign, and product roadmaps, ensuring recommendations are acted upon and deliver measurable value.
- You have strong technical skills, with hands-on experience with SQL and Python and an understanding of APIs and architectural design.
- You are a versatile problem-solver who is motivated by impact and results
- You have experience (or demonstrable interest) in Operations and are excited about using data and new technologies to solve real operational challenges.
- You have experience (or demonstrable interest) in GenAI, and the opportunity it presents to mine insights from unstructured data and automate processes
- You've had exposure to Tableau or another BI tool (such as Power BI or Looker) and have built dashboards or visualisations.
- You're excited about learning new tools and approaches and are comfortable developing your technical skills independently.
- You have strong attention to detail and always double-check your work for accuracy, even when dealing with complex or messy data.
- You're passionate about uncovering insights in data that drive better decisions, and you communicate your findings clearly and confidently, whether in writing or conversation.
- You're confident building relationships with senior stakeholders, understanding their priorities, and influencing them with clear, data-backed insights.
- You can translate complex technical findings into simple, actionable recommendations tailored for both technical and non-technical audiences.
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