Chip - your wealth app

People Operations

• Own and manage day-to-day People operations across the employee lifecycle
• Support and improve onboarding experiences
• Provide practical, commercially aware People advice to managers and leadership
• Guide training and development needs, particularly management skills for People managers
• Support team career development frameworks
• Review, improve, and maintain People policies, documentation, and processes
• Coordinate and improve performance planning and review cycles, including compensation and incentive processes
• Partner with leadership on organisational changes, performance concerns, and people-related risk
• Lead employee relations matters including disciplinaries, grievances, and performance management
• Coach and develop members of the People team around operational People capability and employment law
• Use AI tools and automation to improve efficiency and operational quality
• Provide clear, accessible people communications across the business
• Work closely with senior leadership, managers, and the wider People team to strengthen operational People foundations at Chip

People Manager

Data Analyst

• Line manage the analytics team, including Analysts and the Analytics Lead, covering 1:1s, objectives, performance and development
• Own intake and prioritisation of data requests from across the business
• Set and meet turnaround SLAs
• Supply accurate and timely reporting, analysis and operational data to Finance, Marketing, Product and Operations
• Partner with Product Managers on feature rollouts, performance tracking and post-launch reviews
• Own analytics-built operational controls, monitoring and MI
• Ensure controls run on time, are documented and remain current
• Allocate analysts across Product, balancing BAU demand against Product requirements
• Work with the Analytics Lead to maintain coding, visualisation and data quality standards
• Prioritise automation and tooling requests and ensure delivered tools are adopted and controlled
• Own hiring, development and performance management for the team
• Foster a culture of quality, collaboration, accountability and continuous improvement
• Support the Analytics Lead's growth as a technical specialist
• Raise risks and capacity constraints early with the Head of Operations

Data Analytics Manager

Analyst

• Manage daily end-to-end processing of Cash ISA transfers accurately and within internal SLAs
• Communicate with third-party ISA managers to chase pending transfers, resolve discrepancies and unblock delayed requests
• Act as the escalation point for customer queries about ISA transfers
• Provide clear, empathetic and timely customer updates
• Ensure transfer processes comply with internal policies and HMRC ISA regulations
• Investigate edge cases, broken flows and missing funds
• Own transfer issues through to full resolution for customers
• Collaborate with users, the Chip platform and external providers

Cash ISA Transfers Analyst

Artificial Intelligence

• Work directly with the COO and leadership team on how Chip operates and scales
• Evolve the operating model, including organisational structures, accountabilities, decision-making, governance and ways of working
• Identify and solve cross-business operating problems
• Improve the connection between company priorities, functional plans and execution
• Drive operating leverage through process improvement, technology, automation, AI and organisational changes
• Simplify organisational complexity, hand-offs, duplicated activity, reporting and decision-making
• Maintain a business-wide view of performance, execution, dependencies and capacity constraints
• Lead selected COO-sponsored strategic and operational initiatives
• Own Chip’s business-wide AI transformation programme
• Identify high-value AI, automation and operating-model opportunities
• Take opportunities from discovery and business case through prototyping, implementation, adoption and measurement
• Build and prioritise a transformation and AI value pipeline
• Redesign end-to-end workflows across functions
• Create visibility into team work, capacity, blockers and intervention points
• Drive cross-functional execution across Product, Engineering, Operations, Data and business teams
• Strengthen accountability and ensure commitments translate into delivery
• Embed AI and automation into new process design
• Develop scalable operating systems and workflows using tools such as Linear
• Transform management information and reporting using AI and data
• Improve leadership meetings, business reviews, planning and reporting processes
• Establish baselines and measure productivity, financial and operational benefits
• Drive adoption and embed new ways of working
• Monitor AI, agentic workflow, automation and operating-model developments
• Work with the COO, ExCo and senior leadership team to report progress, surface blockers and challenge stakeholders
• Chip builds a wealth app for savings, investments and pensions

Head of AI Transformation

Data Engineer

• Design, build, and run scalable, secure data pipelines across multiple sources
• Make architecture decisions covering ingestion, modelling, and the semantic/presentation layer
• Design and evolve the Bronze, Silver, and Gold medallion architecture
• Define engineering standards including naming conventions, partitioning, testing strategy, and contract templates
• Apply Databricks best practices and Infrastructure as Code across the platform
• Own data governance patterns in Unity Catalog, including permissions, access models, and sensitive-data handling
• Enable downstream consumers through self-service data patterns
• Provide technical leadership across the data engineering team
• Mentor engineers, review code, and raise engineering standards
• Collaborate with the Analytics Engineer and wider data engineering team

Senior Data Engineer – Remote within the UK

Customer Support

• Conduct QA reviews across Customer Support, Complaints, and outsourced teams
• Ensure compliance with quality standards and regulatory requirements
• Serve as the designated human-in-the-loop reviewer for AI Agent conversations
• Evaluate AI responses for accuracy, tone, compliance, and customer outcomes
• Escalate issues where required
• Identify performance trends and gaps across human- and AI-handled interactions
• Deliver actionable insights to key stakeholders
• Provide detailed, constructive feedback to team members
• Contribute findings to AI Agent calibration and improvement cycles
• Develop and refine the QA framework for human and AI Agent interactions
• Present QA reports and HITL review findings to senior leadership
• Collaborate with the Learning & Development Lead on targeted training initiatives
• Propose and implement process improvements for quality, efficiency, and compliance
• Work with CS leadership, frontline agents, and the complaints team to embed QA best practices
• Partner with product and AI governance stakeholders on agent development and risk management
• Bridge day-to-day QA operations and strategic initiatives
• Report to the Customer Operations Manager

People Manager

Data Analytics Manager

Cash ISA Transfers Analyst

Head of AI Transformation

Senior Data Engineer – Remote within the UK

Senior Customer Support Quality Analyst