Data Management Specialist - Project Manager

Overview

The Data Management Specialist – Project Manager shall be a junior staff member of the Data Management Office and shall report to the Data Management Officer. He or she shall assist in managing projects initiated and maintained by the Data Management Office. Along with the Data Management Officer, the Data Management Specialist – Project Manager shall develop and implement project management strategies, manage project requirements throughout its lifecycle, build and maintain integrated project plans (milestones, dependencies, resourcing) across multiple workstreams, run effective project governance (ensure project timelines and specifications are met while maintaining quality and keeping within given budgets), and manage vendors, internal clients, and other stakeholders.

Functions and Responsibilities

Assist the Data Management Office with the following:

1. Develop and implement project management strategies relating to Data Management

This includes working with other departments to understand their data requirements and to manage projects that support the development of a data governance framework that will ensure that data is properly managed and used, and of data architecture, which is a blueprint for how data is organized and stored within the Company.

The Data Management Specialist – Project Manager is also expected to translate data governance policies (for example: data quality, metadata, retention, access) into executable project plans and measurable outcomes, as well as ensure adherence to privacy, security, and regulatory requirements (for example: Data Privacy, ISO 27001, and data governance) as applicable.

2. Build and maintain integrated project plans across multiple workstreams

Data Management projects often require integrated project plans—those that combine all project elements (scope, schedule/milestones, cost, risk, resources, quality, and dependencies/stakeholders) into a single, cohesive document for unified execution, ensuring alignment with strategic goals and providing a single source of truth for consistent monitoring, control, and decision-making across teams and functions. This is important for the Data Management Office as this project approach avoids silos, reduces duplication, manages dependencies, and optimizes overall project performance across multiple workstreams.

3. Run effective project governance

Like Data Governance, project governance is important in maintaining the Data Management initiatives of the Company. Effective project governance in data management ensures data quality, security, and compliance by establishing clear roles (owners, stewards), processes (quality rules, access), and technology, aligning data initiatives with business strategy through strong leadership, communication, and continuous improvement, ultimately building trust and enabling better decision-making. It's a strategic framework, not just technical, balancing control with flexibility to unlock data's value while mitigating risks

4. Manage vendors, internal clients, and other stakeholders

The Data Management Specialist – Project Manager shall facilitate alignment across business and supporting units in relation to Data Management or Data Governance projects. Part of the work is to prepare clear communications, status reports, decision logs, and executive readouts highlighting outcomes, risks, and asks. The Project Manager shall also drive change management: training, playbooks, adoption KPIs, and transition to BAU/operational ownership.

5. Financials, Benefits & Value Realization

An integral part of managing projects for the Data Management Office is to build and track budgets, forecasts, and benefit realization plans tied to business metrics (for example, reduced rework, faster onboarding, regulatory compliance, improved customer experience). Metrics hierarchies are also expected to be defined, where the Project Manager maps out the input/activity metrics towards output/delivery metrics and then ultimately towards outcome/business value.

6. Conduct of Business Impact Analysis on Data Assets

Data asset inventory is the foundation of an effective business impact analysis. It provides a complete picture of the Company's entire infrastructure, ensuring the availability of the data needed to build realistic and actionable business continuity and disaster recovery plans.

7. Conduct of the Data Management Capability Assessment

The Data Management team's more important undertakings shall be to conduct a data maturity assessment where the Company's existing data management processes and procedures in various data areas are assessed and benchmarked against pre-defined maturity levels (Data Maturity Framework). A key objective of a data maturity assessment is to provide an understanding of the existing data processes, procedures, and standards that are at play in the Company.

Employment Standards

Experience:

• 1-3 years experience in project or program management in relation to Data Governance, Data Protection, Data Management, Information Security/Cybersecurity, ISO Compliance, Internal Audit, or related fields
• Experience with delivery methodologies (Agile/SAFe, hybrid Agile/Waterfall) and tooling
• Demonstrated success managing cross-functional teams and stakeholders at multiple levels

Job Skills & Qualifications

Educational Background:

• College degree in management, business, Cybersecurity, Information Technology, Information Systems, or related fields
• Can also entertain those with degrees in Accountancy, Internal Audit, or related fields

Skills and Qualifications:

• Excellent communication, interpersonal, problem-solving, and negotiation skills
• Good grasp of data governance and management domains: data quality, metadata/catalogs, lineage, master/reference data, access controls
• Some understanding of data platforms (e.g., Azure/AWS/GCP data stacks), ETL/ELT processes, and data modeling concepts
• Fluency in both English and Mandarin is a plus

Certification in the following or related fields are advantages but not required:

• Certified Data Management Professional (CDMP)
• PMP/Prince2, Scrum Master/SAFe Agilist, DAMA (CDMP), TOGAF, ITIL, or equivalent
• ISO27001 Lead Implementor/Auditor
• Risk Assessment Methodology using ISO27005 or CIS-CSC/CIS-RAM Framework