The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise.
This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities.
As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains.
KEY RESPONSIBILITIES
Team Leadership & People Management
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Lead and manage daily operations of the Data & Analytics team
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Conduct regular one-on-one meetings and performance reviews
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Manage employee performance, coaching, mentoring, and career development
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Establish workload priorities and resource allocation
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Support recruiting, interviewing, onboarding, and training activities
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Develop succession plans and growth opportunities within the team
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Foster a culture of accountability, continuous improvement, and customer service
Data Delivery & Operational Management
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Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives
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Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting
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Manage data integration efforts, operational support, production incidents, and data quality investigations
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Monitor team performance against service level agreements and delivery commitments
Project & Portfolio Execution
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Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development
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Lead sprint planning, backlog grooming, resource planning, and task prioritization
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Manage dependencies, identify risks, and maintain stakeholder communication
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Provide regular status updates to the Director of Data & Software Development
Incident & Production Support Management
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Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns
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Lead incident triage, root cause analysis, escalation management, and resolution tracking
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Develop preventative action plans and maintain proper monitoring and support processes
Data Product & Data Mesh Operations
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Support implementation and operation of OANA's Cortex Data Mesh architecture
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Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance
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Ensure data products remain aligned with enterprise standards and business requirements
API & Integration Delivery
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Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite.
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Manage API backlog, integration prioritization, data contracts, and performance monitoring
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Support the evolution of Cortex as the enterprise source of truth and integration hub
Stakeholder Management
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Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations
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Lead requirement clarification, prioritization discussions, status communications, and issue resolution
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Escalate strategic decisions and conflicts to the Director.
TECHNICAL RESPONSIBILITIES
The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas:
Data Architecture
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Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores
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Master Data Management and Data Product architecture
Software Development Practices
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Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies
Data Engineering
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ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage
Analytics & Reporting
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Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard
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Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field
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10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management
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10+ years of Property & Casualty insurance industry experience
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3+ years of leadership experience managing technical teams
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Experience managing both analysts and engineers
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Experience delivering enterprise reporting and analytics solutions
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Strong understanding of data architecture principles
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Experience leading Agile teams and project delivery
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Strong communication and stakeholder management skills
