Head Data Management - National Capital Region - Singlife Philippines

    Singlife Philippines
    Singlife Philippines National Capital Region

    2 araw ang nakalipas

    Insurance
    Paglalarawan

    THE COMPANY

    Singlife's purpose is to democratize access to meaningful financial protection. Our unique business model uses the smartest technologies to put you in control of your finances, by providing tools and solutions that fit your needs, your budget, and are always on hand. A start-up in a long-standing industry, the company has showed how combining new technologies with life insurance makes it possible for people to manage their finances more effectively and efficiently. Singlife is growing at an exceptional rate driven by a growing portfolio of partnerships with platforms like GCash, where we make our meaningful insurance propositions more accessible to the wider market.

    Job Summary:

    The Senior Manager – Data Management & Governance is accountable for establishing, operating, and continuously improving the organization's enterprise data governance, data management, and data quality framework.

    This role ensures that data is trusted, secure, compliant, discoverable, and fit-for-purpose across operational systems, analytics platforms, and digital channels. It is the executive owner of data policies, standards, data ownership, data quality management, metadata, lineage, and regulatory data controls.

    The role partners closely with Business, IT, Risk, Compliance, Architecture, and Analytics teams to institutionalize data as a strategic enterprise asset while ensuring compliance with data privacy laws, regulatory requirements, and internal control frameworks.

    Key Responsibilities:

    Data Governance Framework & Operating Model

    Define, implement, and operate the enterprise data governance framework including:

    • Data ownership and stewardship model
    • Data domains and critical data elements (CDEs)
    • Data policies, standards, and procedures

    Establish and run the Data Governance Council and domain working groups.

    Ensure governance is embedded into delivery, operations, and change processes

    Data Management & Standards

    Own and enforce standards for:

    • Master data
    • Reference data
    • Transactional data
    • Analytical data

    Define:

    • Data lifecycle management
    • Data classification and handling
    • Retention and archiving policies

    Ensure consistent data definitions across systems and platforms

    Data Quality Management

    Define and implement:

    • Enterprise data quality framework
    • Data quality rules, thresholds, and controls
    • Data quality monitoring and dashboards

    Own:

    • Data issue management process
    • Root cause analysis and remediation tracking

    Ensure data quality is proactively measured and continuously improved.

    Metadata, Lineage & Data Catalog

    Own enterprise:

    • Business glossary
    • Technical metadata
    • Data lineage
    • Data catalog capabilities

    Ensure:

    • Traceability from source to consumption
    • Transparency for regulatory and audit requirements

    Promote self-service data discovery and understanding.

    Regulatory, Privacy & Compliance Data Controls

    Ensure compliance with:

    • Data Privacy Act / GDPR
    • Insurance / banking regulatory requirements
    • Internal audit and risk policies

    Define and enforce:

    • Data access controls
    • Data masking and anonymization
    • Consent and purpose limitation controls

    Act as data governance lead during audits and regulatory reviews.

    Data Architecture & Platform Alignment

    Partner with:

    • Enterprise Architecture
    • Data Platform teams
    • Application teams

    Ensure:

    • Governance is embedded into data pipelines, DWH, lakehouse, and integration layers
    • New systems and platforms comply with data standards by design

    Enforce governance-by-design, not governance-after-the-fact.

    Operating Model, Adoption & Change

    Build and lead:

    • Data governance office / team
    • Data stewards community

    Drive:

    • Training and awareness
    • Cultural adoption of data ownership

    Embed data governance into:

    • SDLC
    • Change management
    • Procurement and vendor onboarding

    Metrics, Reporting & Continuous Improvement

    Define and report:

    • Data quality KPIs
    • Governance adoption metrics
    • Compliance metrics

    Produce executive dashboards on data health and risk posture.

    Drive a continuous improvement roadmap for data management maturity.

    Qualifications:

    Bachelor's degree in information systems, Computer Science, Data, or related field.

    10+ years' experience in:

    • Data management
    • Data governance
    • Data quality
    • Analytics or enterprise systems

    5+ years in senior or enterprise leadership roles in data or technology.

    Strong experience in:

    • Data governance frameworks (DAMA, DCAM, etc.)
    • Data quality management
    • Metadata and lineage
    • Regulatory data management

    Experience in regulated industries (insurance, banking, financial services).

    Preferred Qualifications:

    Master's degree in Data, IT, or Business

    DAMA-DMBOK, DCAM, or similar certifications

    Experience with:

    • Data catalogs
    • Data quality tools
    • Master data management platforms

    Experience with:

    • Cloud data platforms
    • Modern data stack (DWH, lakehouse, streaming, BI)

    Leadership Competencies:

    • Strong governance mindset balanced with pragmatism
    • Influential, consensus-building leadership style
    • Highly structured, policy- and control-oriented
    • Strong business and regulatory communication skills
    • Change leadership and cultural transformation capability
    • Executive-level stakeholder management
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