Enterprise Data Director — DaaS & Analytics Leader

ECLARO

Quezon City

On-site

PHP 3,500,000 - 6,000,000

Full time

14 days+

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Job summary

ECLARO seeks an experienced IT Director, Enterprise Data to shape strategy, architecture, delivery, and governance of the organization’s data assets. You will lead a small, capable team to build scalable data products and reporting environments that power FP&A, Actuarial, Underwriting, and Operations.

The role requires deep domain expertise in Commercial P&C data, strong leadership, and hands-on technical execution across Fabric, semantic models, and Power BI to deliver trusted outputs for

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field or equivalent hands-on experience.
  • 7+ years hands-on data engineering with leadership experience.
  • Experience leading data teams and data warehouse projects from inception to completion.
  • Strong knowledge of Microsoft Fabric, Power BI, and data governance practices.

Responsibilities

  • Lead strategy, architecture, delivery, and governance of enterprise data function.
  • Build and operate Data-as-a-Service (DaaS) model for business stakeholders to self-serve data.
  • Align data outputs with FP&A, Actuarial, Underwriting, and Operations to drive business outcomes.
  • Oversee scalable data architecture using Microsoft Fabric, Power BI, and related technologies.
  • Partner with CIO and AI enablement to ensure data platforms support AI use cases.

Skills

Leadership
Data engineering
Azure data services
SQL
Python
Power BI
Data governance
Data modeling
Stakeholder management
Communication

Education

Bachelor's degree in CS/IS

Tools

Microsoft Fabric
Databricks
Power BI
Purview
Azure Data Services

Job description

ECLARO seeks an experienced IT Director, Enterprise Data to shape strategy, architecture, delivery, and governance of the organization’s data assets. You will lead a small, capable team to build scalable data products and reporting environments that power FP&A, Actuarial, Underwriting, and Operations.

The role requires deep domain expertise in Commercial P&C data, strong leadership, and hands-on technical execution across Fabric, semantic models, and Power BI to deliver trusted outputs for

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