Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.
Company Description
AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.
Job DescriptionSchedule: Mid Shift
The Position:
Arch Insurance International is a fast-growing insurance company which provides underwriting solutions across a diverse and growing portfolio of over 20 business classes, spanning multiple platforms in the London company market, the Lloyd’s market, the UK regional markets, and markets in Australia, Bermuda, and the EU.
Over the past 3 years we have increased our gross written premium from $783m to $2bn and the growth trajectory is planned to continue. Recently we were named the Top Large Insurance Employer in the Insurance Business UK Survey.
With this growth and our long-term ambitions, we are investing significantly within data, and recently setup the Chief Data Office.
- Keep our Party, Risk, and Reference master data accurate, complete, and trusted so downstream processes and analytics work first time.
- Resolve MDM (Master Data Management) queries fast, prevent repeat issues, and drive continuous data quality improvement in Stibo STEP.
Job Responsibilities:
- Front‑door for MDM (Master Data Management) queries
Triage, investigate, and work with current GSO and Onshore operations teams to resolve incoming issues and requests (e.g., suspected duplicates, attribute corrections, reference data updates), escalating only when needed. Own cases end‑to‑end, including stakeholder comms and closure notes. - Data cleansing projects
Work with current Operations teams in GSO and Onshore to plan and run targeted cleansing sprints for Party, Risk, and Reference domains (deduplication, standardisation, survivorship fixes, enrichment). Track progress and outcomes. - Operate Stibo STEP
Execute stewardship workflows, match/merge, golden‑record maintenance, and reference-data governance. - Data quality monitoring
Review dashboards/scorecards, spot patterns, and raise prevention actions (new rules, validations, or process tweaks). - Release & change support
Support the validation of data model or rule changes in lower environments; support UAT and cutover tasks affecting master data. - Documentation & knowledge
Maintain “how‑to” guides, FAQs, and known‑issue playbooks for common MDM requests.
- Hands‑on MDM (Master Data Management) or data operations experience (2–5 years), ideally in customer/party and reference data domains.
- Data profiling and analysis skills; comfortable with Excel/SQL basics; able to read a data model and pinpoint root causes.
- Experience with ticketing (e.g., ServiceNow/Jira) and documenting repeatable fixes.
- Clear, concise communicator who can explain data issues to both business and technical audiences.
Similar Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Leads Affirm’s zero-to-one product initiatives in partnership with the CEO and executive team. Owns product vision, strategy, roadmaps, customer discovery, prototyping, experimentation, launches, and iteration for new products and platforms. Coordinates engineering, design, data, risk, legal, operations, and revenue teams without direct authority. Defines success metrics, analyzes customer behavior, communicates tradeoffs, and establishes repeatable product development standards.
Top Skills:
Ai ToolsExperimentation PlatformsProduct AnalyticsSoftware ProductsUi/Ux Prototyping Tools
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.
Top Skills:
Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails
Artificial Intelligence • Marketing Tech • Software
Build and own scalable backend systems for campaign creation, content assembly, audience targeting, scheduling, and delivery across multiple channels. Design fault-tolerant distributed services, ensure reliability through observability and alerting, and deliver features from architecture through production support. Collaborate cross-functionally, mentor junior engineers, and promote testing, code quality, and engineering best practices.
Top Skills:
DockerGithub ActionsGoogle Cloud PlatformGraphQLGrpcKafkaKubernetesPostgresPythonRabbitMQRestRuby
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
