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Data Senior Manager for Governance (Pooling)

senior · Consulting

Job Description

Main Purpose of the Job

The Data Senior Manager for Governance at AXA Philippines is a strategic leadership role responsible for overseeing the planning, execution, and delivery of complex data projects that support the company's business objectives. This role ensures projects are completed on time, within scope, and within budget, while aligning with AXA’s data governance standards, regulatory requirements, and digital transformation initiatives. The ideal candidate will possess strong project management skills combined with deep understanding of data architecture, analytics, and insurance operations.

Key Accountabilities

Project Planning & Delivery:

• Lead end-to-end management of data-related projects, including data migration, integration, analytics initiatives, data quality improvements, and regulatory reporting.
• Develop detailed project plans, timelines, budgets, and resource allocations.
• Define project scope, objectives, deliverables, and success criteria in collaboration with stakeholders.

Stakeholder Management:

• Engage with business units such as underwriting, claims, actuarial, and sales to gather requirements and ensure alignment.
• Coordinate with IT, data teams, compliance, and external vendors to facilitate project execution.
• Provide regular updates and presentations to executive management and project sponsors.

Team Leadership & Coordination:

• Lead cross-functional project teams, including data analysts, data engineers, IT specialists, and external consultants.
• Foster a collaborative environment that promotes best practices in project management and data governance.

Data Governance & Quality:

• Ensure projects adhere to AXA’s data governance standards, privacy policies, and regulatory requirements.
• Implement data quality controls and validation processes as part of project deliverables.

Risk & Issue Management:

• Identify potential project risks and develop mitigation strategies.
• Address project issues promptly to minimize impact on timelines and quality.

Change Management & Training:

• Support change management initiatives related to new data systems or processes.
• Facilitate training and knowledge transfer to end-users and operational teams.

Performance Monitoring & Reporting:

• Track project KPIs, milestones, and deliverables.
• Prepare comprehensive reports and post-project reviews to evaluate success and lessons learned.

Continuous Improvement:

• Stay updated on emerging data technologies, project management methodologies, and insurance industry best practices.
• Recommend process improvements to enhance project delivery efficiency.

Key Stakeholders

Internal Stakeholders

Executive Leadership & Senior Management

• Chief Data Officer (CDO): Oversees data strategy and governance; ensures alignment of projects with overall data vision.
• Chief Technology and Transformation Officer (CTTO): Oversees the organization's technology architecture, infrastructure, and innovation initiatives, which directly impact data projects.
• Chief Operating Officer (COO) / Head of Operations: Interested in how data projects improve operational efficiency.
• Business Unit Heads (Underwriting, Claims, Actuarial, Sales, Customer Service): Provide requirements and expect solutions that support their functions.
• T&T Department / Data Engineering & Infrastructure Teams: Responsible for technical implementation, integration, and support.
• Data & Analytics Teams: Use data outputs for analysis, reporting, and decision-making.
• Compliance & Legal Teams: Ensure projects adhere to data privacy laws, industry regulations, and internal policies.
• Risk Management: Uses data for risk assessment and mitigation strategies.

Operational Teams & End-Users

• Underwriters, Claims Adjusters, Actuaries, Customer Service Representatives, and Sales Teams who directly use the data solutions or reports.

Project Support & Governance Bodies

• Project Steering Committees or Governance Boards that review project progress, approve budgets, and resolve escalations.
• Data Governance Committees overseeing data standards, quality, and compliance.

External Stakeholders

Regulators & Industry Bodies

• Regulatory agencies such as Insurance Commission (Philippines), Securities and Exchange Commission (SEC), and data privacy authorities (e.g., National Privacy Commission).
• External auditors conducting compliance checks.

Vendors & Technology Partners

• Providers of data management, analytics, or project management tools and services (e.g., cloud providers, software vendors).

Consultants & Contractors

• External consultants or system integrators supporting project delivery, data migration, or system implementation.

Customers & Policyholders

Indirect stakeholders who benefit from improved service delivery, data security, and privacy assurance.

Experience & Qualifications

Education:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Business Administration, or related field.
• PMP, Prince2, or other project management certifications highly preferred.
• Certifications in data management or analytics (e.g., CDMP, Microsoft Certified Data Analyst) are a plus.

Experience:

• 8+ years of experience managing large-scale data projects in the insurance or financial services industry.
• Proven track record of delivering complex data transformation, reporting, and analytics projects.
• Experience working with insurance processes, products, or regulatory reporting is advantageous.

Skills:

• Strong project management skills with proficiency in Agile, Waterfall, or hybrid methodologies.
• Deep understanding of data architecture, data warehousing, ETL processes, and analytics tools.
• Excellent stakeholder engagement, communication, and leadership skills.
• Ability to translate business needs into technical solutions.
• Familiarity with data governance, privacy, and security standards.

Core Competencies:

• Strategic Thinking & Planning
• Leadership & Team Management
• Problem-Solving & Critical Thinking
• Communication & Stakeholder Management
• Adaptability & Change Management
• Attention to Detail & Quality Orientation
• Results-Driven & Deadline-Oriented