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ECLARO is seeking an experienced IT Director, Enterprise Data & Microsoft Fabric to lead the strategy, architecture, delivery, and governance of our enterprise data function.
You will drive a Data-as-a-Service model enabling FP&A, Actuarial, Underwriting, and Operations to access trusted, governed data with hands-on leadership across Fabric, Power BI, and semantic models.
ECLARO is an award-winning professional services firm headquartered in New York City, operating across the U.S., Canada, UK, Ireland, Australia, and the Philippines.
We provide strategic staffing, permanent placement, and custom outsourcing & offshoring solutions to help organizations solve business challenges through innovation, automation, and process improvement.
We are seeking an experienced IT Director, Enterprise Data & Microsoft Fabric to lead the strategy, architecture, delivery, and governance of our enterprise data function.
This role will drive the development of a scalable Data-as-a-Service (DaaS) model, enabling business teams such as FP&A, Actuarial, Underwriting, and Operations to access trusted, governed, and actionable data.
The ideal candidate will have strong expertise in Commercial Property & Casualty (P&C) insurance data, particularly across Auto, General Liability, and Workers’ Compensation, with the ability to translate business needs into scalable data platforms, semantic models, reporting solutions, and AI-ready data capabilities.
This is a highly hands-on leadership role requiring both strategic direction and technical execution across:
Microsoft Fabric
Power BI
Semantic models
Enterprise reporting
Data architecture
Data integrations
AI and advanced analytics enablement
The role reports directly to the CIO and partners closely with application, integration, and AI leaders to align enterprise systems, data platforms, and business outcomes.
Lead and mentor a high-performing data team, including offshore resources, ensuring accountability and delivery excellence.
Establish and operate a Data-as-a-Service (DaaS) model to enable governed self-service analytics.
Manage demand intake, prioritization, backlog management, and delivery planning.
Partner with business stakeholders to define requirements, business rules, success criteria, and expected outcomes.
Manage internal teams, vendors, and consultants while ensuring quality delivery and knowledge transfer.
Drive alignment across applications, integrations, data platforms, and AI initiatives.
Define and oversee enterprise data architecture using Microsoft Fabric, Power BI, and related technologies.
Act as a hands-on technical leader supporting data design, semantic layers, reporting models, troubleshooting, and query refinement.
Design and govern business-facing data models supporting:
Power BI dashboards and reporting
Pricing models
Actuarial and financial analysis
Underwriting and operational decision-making
Build scalable data products and consumption models through:
Governed Power BI reporting
Fabric Notebooks and analytical environments
Downstream applications and AI capabilities
Design and support inbound/outbound data integrations, external reporting, partner data exchange, and enterprise data feeds.
Ensure data structures, models, and reporting solutions align with business processes and decision-making needs.
Drive data quality, platform scalability, and production-ready delivery.
Partner with FP&A, Actuarial, Underwriting, Operations, and leadership teams to translate business needs into data solutions.
Guide stakeholders toward effective data consumption models, including Power BI, semantic layers, and advanced analytics environments.
Ensure business requirements, data definitions, and acceptance criteria are clearly established.
Communicate delivery progress, risks, priorities, trade-offs, and business value to stakeholders and executives.
Partner with the CIO to align strategy, timelines, and enterprise priorities.
Establish enterprise data governance, stewardship, and quality practices.
Implement secure access models across Microsoft Fabric, Power BI, and related platforms.
Ensure controlled self-service access while maintaining security, compliance, and data protection.
Define standards for data sharing, reporting, integrations, and external data delivery.
Support auditability, traceability, and regulatory reporting requirements.
Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent hands-on experience.
7+ years of hands-on data engineering experience, including 2+ years in a leadership role.
Proven experience leading and mentoring data teams.
Experience managing enterprise data warehouse initiatives from inception to completion.
Experience working with onshore/offshore teams, consultants, and vendors.
Strong experience with Microsoft Azure data services.
Advanced SQL and Python skills.
Experience with Power BI and Medallion Lakehouse architecture preferred.
Strong understanding of:
Data warehouse design (fact/dimension models)
ETL pipelines
Data modeling
Data architecture
Data governance
Familiarity with Microsoft Fabric, Databricks, and modern data platforms.
Commercial P&C Insurance domain experience is required.
Strong communication, leadership, analytical, and problem-solving skills.
Experience supporting pricing, actuarial, underwriting, and financial reporting use cases within Commercial P&C insurance.
Experience modernizing legacy reporting and data processes.
Experience improving data quality and resolving legacy data challenges.
Experience designing governed self-service data models and semantic layers.
Experience with external reporting, partner data exchange, and enterprise integrations.
Experience extending modern data platforms such as Microsoft Fabric, including:
Semantic models
Data governance (Purview)
AI-ready data structures
Advanced analytics enablement