Senior Data Analytics Lead - Insights, Automation & Governance

Manulife; Manila; Hybrid; PHP 900,000 - 1,700,000; Full time

Job summary

Manulife Lead Data Analyst role focuses on preparing complex client-facing reports using multiple sources and ensuring adherence to P&C guidelines. You will define enterprise reporting standards, validate data quality, and lead cross-functional analytics initiatives to deliver measurable strategic impact.

Candidate will collaborate with senior stakeholders, present insights through data storytelling, and ensure governance and audit compliance while driving automation and self-service analytics

Qualifications

• University degree in business, finance, economics, or a related field.
• 5–10 years of relevant experience in strategy, transformation, project management, or analytical roles.
• Strong proficiency in Microsoft Excel, with numerical aptitude and ability to independently analyze data.
• Basic knowledge of Power BI or similar data visualization tools.
• Solid PowerPoint skills with the ability to present data and insights in an executive-ready format.
• Strong organizational and project coordination skills, with the ability to manage multiple priorities and deliver against timelines.
• Ability to synthesize both quantitative and qualitative information into clear takeaways.
• Strong written and verbal communication skills.
• Comfort working in a fast-paced, evolving environment with multiple stakeholders.

Responsibilities

• Automated Reporting Solutions - Defines enterprise reporting standards and KPIs; transforms reporting into insight-driven decision frameworks and enables self-service analytics across business units.
• Data Quality Assurance & Validation - Establishes data quality frameworks, validation methodologies, and audit mechanisms to ensure accuracy, consistency, and reliability of enterprise analytics outputs.
• Ad Hoc Analytics & Investigations - Leads highly complex, ambiguous, and cross-functional analytics initiatives; translates business strategy into scalable analytical solutions and actionable insights.
• Report Lifecycle & Governance Management - Designs and governs enterprise reporting inventory frameworks ensuring relevance, optimization, and alignment to business value and strategic priorities.
• Process Documentation & Knowledge Management - Defines documentation standards and ensures all analytics processes are scalable, reusable, and aligned with governance and audit requirements.
• Requirements Analysis & Intake Management - Serves as the lead analytical consultant for complex business problems, leveraging advanced analytics, AI, and machine learning techniques to design, operationalize, and scale data-driven solutions that deliver measurable strategic and operational impact.
• Project Coordination & Stakeholder Governance - Leads strategic discussions with senior stakeholders; influences decision-making through data storytelling, insights, and executive-level communication.
• Risk Assessment & Controls Monitoring - Ensures analytics solutions comply with enterprise data governance, security, and regulatory standards; proactively identifies and mitigates data risks.
• Continuous Process Improvement - Drives enterprise-level process optimization through automation, advanced analytics, and scalable data solutions; sets best practices across teams.

Skills

MS Excel

Data storytelling

Project coordination

Verbal & written communication

Critical thinking

MS PowerPoint

SQL

Education

University degree in business, finance, economics, or related field

Tools

Power BI

MS Access

Job description

Manulife Lead Data Analyst role focuses on preparing complex client-facing reports using multiple sources and ensuring adherence to P&C guidelines. You will define enterprise reporting standards, validate data quality, and lead cross-functional analytics initiatives to deliver measurable strategic impact.

Candidate will collaborate with senior stakeholders, present insights through data storytelling, and ensure governance and audit compliance while driving automation and self-service analytics