Compunnel, Inc.
The Data Architect + Management (AVP) is responsible for defining and maintaining the enterprise data architecture framework, standards, and roadmaps aligned with property and casualty (P&C) insurance business needs.
This role leads the adoption of Microsoft Fabric as the enterprise data platform and ensures best practices in data modeling, integration, governance, and analytics enablement.
The AVP partners with business and IT stakeholders to support key functions such as underwriting, claims, policy administration, regulatory reporting, and actuarial analysis.
Key Responsibilities:
Define and maintain enterprise data architecture standards and roadmaps.
Lead the adoption and optimization of Microsoft Fabric as the enterprise data platform.
Drive best practices in data modeling, integration, storage, security, governance, and analytics.
Align data strategy with core insurance functions including underwriting, claims, and regulatory reporting.
Manage end-to-end delivery of data programs and projects, ensuring timely and value-driven outcomes.
Provide hands-on technical leadership including architecture reviews, solution design, and troubleshooting.
Collaborate with cross-functional teams to deploy scalable data pipelines and analytics platforms.
Ensure compliance with data security and privacy regulations (e.g., GDPR, HIPAA, state/federal insurance laws).
Build and mentor a high-performing team of data engineers, architects, and analysts.
Act as a trusted advisor to executive leadership on data strategy and emerging technologies.
Foster a culture of innovation, continuous improvement, and delivery excellence.
Required Qualifications:
Bachelor’s degree in Computer Science, Data Management, Engineering, or related field (Master’s preferred). 12+ years of IT/data management experience. 5+ years in data architecture leadership roles. Proven experience in P&C insurance data domains (policy, claims, billing, underwriting, actuarial). Strong experience implementing and managing Microsoft Fabric (OneLake, Synapse, Data Factory, Power BI, Real-Time Analytics, Governance). Successful track record in data modernization, cloud migration, or analytics transformation programs. Expertise in data modeling, data warehousing, ETL/ELT, and modern data lake architectures. Strong knowledge of the Azure ecosystem (Azure SQL, Data Factory, Synapse, Purview, Power BI). Hands-on experience with SQL, Python, and/or Spark. Familiarity with API-driven integrations, master data management, and metadata frameworks. Strong project/program management capabilities. Excellent communication and stakeholder engagement skills. Ability to balance strategic oversight with hands-on technical delivery. Email ID * This field is required Please enter valid emailId. Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name.
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Bachelor’s degree in Computer Science, Data Management, Engineering, or related field (Master’s preferred). 12+ years of IT/data management experience. 5+ years in data architecture leadership roles. Proven experience in P&C insurance data domains (policy, claims, billing, underwriting, actuarial). Strong experience implementing and managing Microsoft Fabric (OneLake, Synapse, Data Factory, Power BI, Real-Time Analytics, Governance). Successful track record in data modernization, cloud migration, or analytics transformation programs. Expertise in data modeling, data warehousing, ETL/ELT, and modern data lake architectures. Strong knowledge of the Azure ecosystem (Azure SQL, Data Factory, Synapse, Purview, Power BI). Hands-on experience with SQL, Python, and/or Spark. Familiarity with API-driven integrations, master data management, and metadata frameworks. Strong project/program management capabilities. Excellent communication and stakeholder engagement skills. Ability to balance strategic oversight with hands-on technical delivery. Email ID * This field is required Please enter valid emailId. Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name.
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