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
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads global R&D environmental, health, and safety programs with primary authority in industrial hygiene. Oversees exposure assessments, hazard controls, laboratory safety, containment verification, risk registers, investigations, metrics, governance, and enterprise partnerships. Leads a global EH&S community of practice, influences senior stakeholders across sites, supports vendor programs and M&A due diligence, and develops organizational capability. The role requires up to 30% domestic and international travel and includes periodic laboratory and manufacturing-site access.
Top Skills:
CorityEnablonIntelex
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own scalable customer programs from planning and recruitment through launch, engagement, measurement, closeout, and handoff. Coordinate Product, Design, Research, Marketing, Customer Success, Sales, and Analytics teams. Lead pre-PMF product testing, relaunch the Customer Advisory Board, integrate customer testing into launch-readiness processes, and establish repeatable customer insight loops and operating playbooks.
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead reliability engineering across hybrid and multi-cloud environments by operating Kubernetes, building infrastructure automation, and developing AI-driven auto-remediation systems. Establish SLOs, observability, incident response, GitOps, Infrastructure-as-Code, disaster recovery, and cost optimization practices. Mentor engineers, guide technical decisions, reduce operational toil, and improve platform resilience, availability, and incident response across globally distributed teams.
Top Skills:
AksAWSAzureBashCi/CdCloud SqlCloudFormationCompute EngineCosmos DbEc2EksGCPGitopsGkeGoKubernetesLambdaLinuxPythonRdsService MeshTerraform
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
