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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in data architecture, engineering, and governance within the insurance industry, focusing on scalable data solutions and compliance with financial controls. Proven ability to lead cross-functional teams and communicate effectively with senior leadership on data initiatives.
Highest-signal resume keywords
Data ArchitectureData EngineeringData GovernanceInsurance Industry ExperienceLeadership in Data Teams
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data TransformationData ModelingETL ProcessesData PipelinesData Quality ManagementData IntegrationData AnalyticsProgrammingCloud Data TechnologiesData Lake Projects
Soft Skills
CommunicationTeam LeadershipStrategic PlanningRisk Management
Tools & Technologies
SnowflakeAzurePower BISQLPythonRGitPipeline Orchestration Tools
Industry Keywords
Finance DataInsurance MetricsBusiness RulesData Governance StandardsFinancial ReportingClaims DataPolicy DataPremium DataActuarial Data
Tech Stack
Tools & technologiesAzureCloudPythonSnowflakeSQL
About the role
Key responsibilities & impact- Define and execute the target-state data architecture and technology roadmap for Finance Data & Analytics
- Lead the design and delivery of scalable data pipelines, curated data products, dimensional models, and semantic layers
- Establish consistent definitions, business rules, hierarchies, and data models for critical Finance and insurance metrics
- Establish Finance data governance standards covering data ownership, quality, lineage, metadata, access, controls, and appropriate use
- Implement development and engineering standards for documentation, testing, deployment, reconciliation, monitoring, and production support
- Improve integration of quotes, policy, premium, claims, and financial data to enable trusted Finance analytics
- Reduce reliance on manual data preparation, fragmented reporting solutions, and duplicated business logic
- Partner with Enterprise Data and Technology teams to improve Finance access to enterprise data sources, platforms, and capabilities
- Ensure solutions comply with enterprise architecture, security, privacy, governance, and financial control requirements
- Lead complex, cross-functional data initiatives from architecture and planning through implementation and adoption
- Build and lead a high-performing team across data architecture, engineering, modeling, governance, and technology enablement
- Communicate architecture strategy, priorities, delivery progress, risks, and trade-offs to senior and executive leadership
Requirements
What you’ll need- 15+ years of experience in data architecture, data engineering, analytics engineering, business intelligence, data governance, or related disciplines
- Full English Fluency
- Significant professional experience within the insurance industry required
- Strong knowledge of insurance data and business processes, including policy, premium, claims, losses, pricing, actuarial, distribution, and financial data
- Experience with data transformation projects
- 10+ years of leadership experience managing data, architecture, engineering, analytics technology, or related teams
- Strong knowledge of modern data architecture, data engineering, integration, transformation, modeling, and analytical consumption patterns
- Strong understanding of insurance financial and operational data, including relationships across policies, premiums, exposures, claims, losses, expenses, profitability, and financial reporting
- Experience creating new data lake projects
- Extensive experience in data management, including ETLs and data pipelines
- Experience with modern cloud data and analytics technologies such as Snowflake
- Experience with Azure, Power BI, SQL, Python, R, Git, and pipeline orchestration tools
- Programming experience
- Strong understanding of data governance, quality, metadata, lineage, privacy, security, access management, and financial controls
- Ability to transform data and get it into good shape
Benefits
Comp & perks- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally renowned group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development