Chief Data Officer
HCM Nexus Consulting
Makati, NCR, Philippines
14h ago

The Chief Data Officer is responsible for the data architecture, data governance, analytics, data quality, and data

strategy across the entire organization. This person is accountable for leading, managing, training, and motivating the

data governance, data engineering, reporting, analytics and data strategy teams. He / she is expected to connect said

teams to work on shared business outcomes that are aligned to the overall bank strategy.

This position serves as the overall point-person for data and works with senior leaders to align on overall data roadmap.

This person is in charge of resourcing and funding for data, planning and managing the initiatives of his / her teams and

ensuring the organization evolves to being a data driven organization.


1. Recruits, develops, and manages team members across all teams under his / her wing.

2. Ensures each team member has the requisite skills and competencies to excel in the position, is constantly learning, is

motivated, and has clear understanding of career path.

3. Connects the dots across the various initiatives in data governance, reporting, engineering, analytics, and strategy to

ensure synergies are created and duplication / conflicts are eliminated.

  • 4. Works with teams to quantify business value derived from internal and external data along the data lifecycle;
  • prioritization of most important data, working with the BUs, analytics teams, etc.

    5. Oversees the collection, processing, and prioritization of data-driven business requirements coming from business & IT

    6. Oversees the governance team in definition and management of policies, standards, and rules around the management

    of data; ensures business-oriented management of data quality, including monitoring and reporting of data quality as well

    as data cleansing and root cause analysis

    7. Works with teams to ensure data dictionary (business and technical metadata) is managed along with conceptual and

    logical data models

    8. Works with technology to define and constantly refine target state data platform architecture along w tools and

    processes to enable data flow and processing

    9. Oversees the management of methodologies and protocols / procedures around reporting and advanced analytics,

    including the design and deployment of analytics and AI use cases working with the Bus

    Competencies (Knowledge, Skill, Ability)

  • Strong technical background with data, either from an engineering standpoint or analytics standpoint.
  • Excellent business acumen; understands meeting business goals is his / her primary purpose and data is simply an enabler for this.
  • Strong sense of initiative and self-direction. Quick learning agility, both
  • business and technical.

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