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Senior Consultant - Projects, Change & Transformation | General Insurance & London Markets
The Company
A well-established and specialist commercial insurer operating across domestic and international markets. The organisation offers a comprehensive portfolio of innovative risk solutions and services to businesses of all sizes, with a strong emphasis on data-driven decision-making and digital transformation.
The Role
This position will lead the development and delivery of enterprise-wide data solutions. The role combines technical leadership, stakeholder engagement, and hands-on execution to support business growth and operational excellence through advanced analytics and data strategy.
Key Responsibilities
* Develop and lead the execution of data and analytics strategies aligned to wider business objectives.
* Design and deploy advanced analytical models and dashboards to extract insights, forecast trends, and inform strategic decision-making.
* Collaborate with functions including Underwriting, Claims, Actuarial, and IT to integrate data solutions into day-to-day operations.
* Provide data expertise and support to transformation initiatives, ensuring alignment with digital innovation programmes.
* Manage and mentor a hybrid team of data analysts, engineers, and specialists across both onshore and offshore locations.
* Coordinate task prioritisation, resource allocation, and delivery timelines in collaboration with the Business Insights team.
* Oversee project tracking using JIRA, ensure up-to-date documentation in Confluence, and guide robust code and solution design.
* Lead the design and maintenance of data models, ETL processes, and visualisation tools (e.g. SSIS, Tableau, SSRS).
* Support and align with global reporting programmes to ensure consistency and compliance with international standards.
* Maintain high standards of code quality, readability, and maintainability, following clean code principles and modular architecture.
* Oversee the development and deployment of data pipelines, APIs, and machine learning models in coordination with DevOps teams.
* Define and embed best practices for data warehousing and Lakehouse architecture (e.g. Medallion).
* Standardise data development, modelling, and metadata management across the enterprise.
* Implement lineage tracking and orchestration tools to improve transparency and governance.
* Conduct code reviews, testing, and documentation to ensure quality and robustness of analytics outputs.
* Take ownership of incident resolution and lead root cause analysis to ensure sustainable remediation.
* Enforce best practices for change control, release management, rollback planning, and deployment testing.
* Maintain high levels of internal client satisfaction by ensuring deliverables meet service level expectations.
* Ensure audit readiness through documentation, access control, and data lineage practices in line with regulatory standards.
* Manage third-party vendors and technology partners providing analytics tools or support services.
* Undertake additional responsibilities as required to support the broader data strategy.
Skills, Knowledge & Abilities
* Strong understanding of enterprise data management and governance principles.
* Proven experience delivering Business Intelligence (BI) solutions and dashboards to enable data-driven decisions.
* Experience designing relational and dimensional data models (e.g. star schema, snowflake, etc.).
* Proficient in ETL and data warehousing, including handling slowly changing dimensions.
* Excellent communication and interpersonal skills, with the ability to liaise confidently between technical and non-technical stakeholders.
* Demonstrated ability to influence and engage across business functions and with external partners.
* Strong analytical thinking and a methodical approach to problem-solving.
* Skilled at managing multiple workstreams and priorities effectively.
Technical Expertise:
* Advanced knowledge of Microsoft BI tools (SSIS, SSRS).
* Strong SQL Server skills, including query optimisation and performance tuning.
* Familiarity with scheduling and orchestration tools (e.g. Control-M).
* Hands-on experience with Google Cloud tools such as BigQuery, Composer, and VertexAI.
* Proficient in Python for data manipulation and modelling.
* Strong skills in data visualisation using Tableau.
* Background in insurance or financial services, with exposure to industry-specific metrics (KPIs/KRIs).
* Familiarity with insurance data models and reporting frameworks.
* Experience using Alteryx for data preparation and workflow automation.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Insurance
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