Director of Business Intelligence

Private Advertiser; Makati; On-site; PHP 2,400,000 - 4,800,000; Full time

Job summary

Private Advertiser seeks a Director of Business Intelligence to define a global BI strategy, govern data, and lead analytics transformation across the enterprise from Makati. You will automate legacy reporting, drive AI-assisted analytics, and mentor analytics teams into strategic business partners.

In this role, you will partner with executives to connect insights to capacity planning, cost control, and margin improvement, while building scalable analytics across cloud and lakehouse platforms.

Qualifications

• 3+ years of progressive leadership experience in BI, analytics, or data engineering.
• Advanced proficiency in Power BI, semantic modeling, DAX, SQL, data modeling, and modern analytics architecture.
• Proven experience with cloud data platforms and lakehouse environments (Microsoft Fabric, Snowflake).
• Solid background in data governance, metric definition management, data quality, security, and enterprise reporting standards.
• Demonstrated success leading analytics transformations, including standardizing metrics and automating manual reporting processes.
• Strong domain knowledge in operational environments such as BPO, contact centers, logistics, or workforce operations.
• Fluent English written and verbal communication skills, with ability to present insights to executives and clients.
• Nice to Have: Power BI Fabric certifications; AI-assisted analytics, data cataloging tools, Lean Six Sigma, or Agile/Scrum.

Responsibilities

• Define and execute an enterprise BI strategy aligned with corporate priorities, including governance, automation, reporting, self-service analytics, and decision intelligence.
• Connect workforce, productivity, operational, financial, and customer performance metrics to guide strategic interventions.
• Guide architecture for scalable analytics across Fabric, Power BI, and lakehouse environments.
• Lead end-to-end BI product lifecycle from requirements gathering through deployment and adoption.
• Establish standardized metric definitions, lineage, and access controls for trusted reporting.
• Modernize reporting with automated solutions and AI-assisted analytics.
• Partner with executives to link data insights to capacity planning, cost control, and strategic goals.
• Build and lead a high-performing BI team, growing analysts into strategic partners.

Skills

Leadership experience

Power BI

DAX

SQL

Semantic modeling

Data modeling

Analytics architecture

Executive communication

AI-assisted analytics

Tools

Microsoft Fabric

Snowflake

Job description

Position Description

The Director of Business Intelligence provides strategic vision, technical architecture, and operational leadership to build and scale modern analytics capabilities across the enterprise. Beyond managing dashboards, this role focuses on understanding core business challenges, establishing governed data foundations, and translating operational metrics into decision-making intelligence. Partnering closely with executive leadership and cross-functional teams, the Director leads analytics transformation by automating legacy reporting, driving AI-assisted analytics, and mentoring technical teams into strategic business partners.

Functions

• BI Strategy & Roadmap: Define and execute an enterprise BI strategy aligned with corporate priorities, covering data governance, automation, reporting, self-service analytics, and decision intelligence.

• Operational & Business Analytics: Connect workforce, productivity, operational, financial, and customer performance metrics to identify key drivers and guide strategic interventions.

• Data & Analytics Architecture: Guide the architecture for scalable analytics across Microsoft Fabric, Power BI, semantic models, lakehouse environments, and enterprise data assets.

• Data Product Lifecycle Management: Lead the end-to-end development of BI products from problem definition and requirements gathering through validation, modeling, deployment, and adoption.

• Data Governance & Metric Trust: Establish standardized metric definitions, lineage, access controls, and governed semantic models to ensure absolute reporting confidence.

• AI & Analytics Transformation: Modernize fragmented reporting into automated, scalable solutions while evaluating and deploying AI-assisted analytics and natural language interaction tools.

• Executive Decision Support: Partner with senior executives to connect data insights to capacity planning, operational performance, cost control, margin improvement, and strategic goals.

• Leadership & Talent Development: Build and lead a high-performing BI team, developing technical analysts into proactive business partners who own business outcomes.

• Cross-Functional Collaboration: Align business needs, data availability, and technology investments across Operations, Finance, IT, Workforce Management, and Sales.

Qualifications and Requirements

• 3+ years of progressive leadership experience in Business Intelligence, Enterprise Analytics, or Data Engineering.

• Advanced proficiency in Power BI, semantic modeling, DAX, SQL, data modeling, and modern analytics architecture.

• Proven experience with cloud data platforms and lakehouse environments (e.g., Microsoft Fabric, Snowflake).

• Solid background in data governance, metric definition management, data quality, security, and enterprise reporting standards.

• Demonstrated success leading analytics transformations, including standardizing metrics and automating manual reporting processes.

• Strong domain knowledge in operational environments, such as BPO, contact centers, logistics, shared services, or workforce operations.

• Fluent English written and verbal communication skills, with proven ability to present insights to C-suite executives and clients.

• Nice to Have: Microsoft Power BI / Fabric certifications; experience with AI-assisted analytics, data cataloging tools, Lean Six Sigma, or Agile/Scrum methodologies.

Technical Skills & Systems

• BI & Visualization: Power BI, DAX, SQL, Semantic Modeling, Enterprise Reporting Standards.

• Cloud & Data Platforms: Microsoft Fabric, Snowflake, Lakehouse Architectures, Cloud Data Warehouses.

• Governance & Emerging Tech: Data Governance Frameworks, Data Catalogs, AI-Assisted Analytics, Natural Language Querying.