Overview
Job Title: Data Architect + Management (AVP)
Location: Blue Bell, PA (Hybrid - 3 Days Onsite)
Duration: Full Time
Interview Process: Final Round will be In-Person
Responsibilities
Data Architecture & Strategy
- Define and maintain the enterprise data architecture framework, standards, and roadmaps aligned with P&C insurance business needs.
- Lead the adoption and optimization of Microsoft Fabric as the foundation of the enterprise data platform.
- Drive best practices for data modeling, integration, storage, security, governance, and analytics enablement .
- Partner with business and IT stakeholders to ensure data strategy supports underwriting, claims, policy administration, regulatory reporting, and actuarial functions.
Delivery & Execution
- Manage and oversee the end-to-end delivery of data programs and projects, ensuring on-time, within-budget, and value-driven outcomes.
- Provide hands-on technical leadership , including architecture reviews, solution design, and troubleshooting.
- Collaborate with cross-functional teams to design and deploy scalable data pipelines, real-time processing, and analytics platforms .
- Ensure data solutions meet compliance and security requirements (e.g., GDPR, HIPAA, state/federal insurance regulations).
Leadership & Team Management
- 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 continuous improvement, innovation, and delivery excellence .
- Experience :
- 12+ years of IT/data management experience, with at least 5+ years in data architecture leadership roles.
- Proven background in P&C insurance data domains (policy, claims, billing, underwriting, actuarial).
- Strong experience implementing and managing Microsoft Fabric (OneLake, Synapse Data Warehousing, Data Factory, Power BI, Real-Time Analytics, Governance).
- Demonstrated success in leading large-scale data modernization, cloud migration, or analytics transformation programs .
- Technical Skills :
- Expertise in data modeling, data warehousing, ETL/ELT, and modern data lake architectures.
- Strong knowledge of Azure ecosystem (Azure SQL, Data Factory, Synapse, Purview, Power BI).
- Hands-on coding/architecture experience in SQL, Python, and/or Spark.
- Familiarity with API-driven integrations, master data management, and metadata-driven frameworks.
- Leadership Skills :
- Strong project/program management capabilities with proven track record of delivering complex initiatives.
- Excellent communication and stakeholder management skills, with ability to engage business executives and technical teams alike.
- Ability to balance strategic oversight with hands-on delivery .
Details
- Seniority level : Mid-Senior level
- Employment type : Contract
- Job function : Information Technology, Engineering, and Design
- Industries : IT Services and IT Consulting, Information Services, and IT System Data Services
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