Project Manager – Data Management & Transformation
Capco is hiring a Project Manager – Data Management & Transformation in Kuala Lumpur, Malaysia. Level rates it ; you can apply on Capco.
Level's read on this job
- Little AI ●○○○ is how Level rates this project manager role: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 702 other open roles at Capco.
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About Capco
Capco is a global business and technology consultancy dedicated exclusively to the financial services industry. Our consultants bring innovative thinking together with deep, first‑hand industry experience to help clients solve their most complex business and technology challenges.
We partner with leading banks, capital markets firms, and wealth & investment managers to deliver transformation across finance, risk & compliance, regulatory change, and technology. With offices across major financial centres in North America, Europe, and APAC, Capco offers the opportunity to work on large‑scale, high‑impact programmes that shape the future of financial services.
At Capco, collaboration, delivery excellence, and entrepreneurship define how we work and succeed.
Project Manager – Data Management & TransformationTHE ROLE
The Project Manager – Data Management & Transformation will lead the delivery of strategic data initiatives, with a focus on Data Quality (DQ) remediation, data management capabilities, and enterprise data transformation programmes. The role is responsible for coordinating cross-functional teams, managing project plans, and driving execution across business and technology stakeholders.
The successful candidate will bring strong programme and project management expertise, coupled with practical experience delivering data-focused initiatives involving data quality improvement, data lineage, data models, system design, and data governance capabilities.
Key Responsibilities
1) Project & Programme Delivery
- Lead the end-to-end delivery of data management and transformation initiatives.
- Develop and manage integrated project plans, milestones, delivery schedules, and critical paths.
- Coordinate activities across business, data, technology, architecture, and vendor teams.
- Drive project execution from mobilisation through implementation and transition.
- Ensure delivery aligns with agreed scope, timelines, budget, and quality objectives.
2) Data Transformation & Data Quality Initiatives
- Manage programmes focused on Data Quality (DQ) remediation and continuous data quality improvement.
- Coordinate initiatives related to data governance, data lineage, metadata management, and master data management.
- Support the implementation of enterprise data management frameworks and capabilities.
- Track and monitor data-related deliverables, dependencies, and remediation activities.
- Ensure alignment between business objectives and data management outcomes.
3) Stakeholder & Vendor Management
- Partner with business stakeholders, data owners, technology teams, architects, and external vendors.
- Facilitate project governance meetings, working groups, and steering forums.
- Manage stakeholder expectations and ensure effective communication across all project participants.
- Escalate risks, issues, and decision points appropriately to leadership teams.
4) Risk, Issue & Dependency Management
- Maintain and manage RAID logs (Risks, Assumptions, Issues, and Dependencies).
- Identify project delivery risks and drive mitigation plans.
- Manage dependencies across multiple workstreams and transformation initiatives.
- Establish project controls and reporting mechanisms to support effective governance.
5) Data & Technology Delivery Coordination
- Work closely with data architects, solution architects, business analysts, and engineering teams.
- Support the delivery of initiatives relating to:
- Data Models
- Data Lineage
- Data Governance
- Data Quality Frameworks
- System Design
- Data Integration
- Data Platforms
- Ensure technical deliverables remain aligned with business requirements and programme objectives.
6) Governance, Reporting & Financial Management
- Prepare project status reports, dashboards, and executive updates.
- Manage project budgets, forecasts, and resource plans.
- Monitor project performance against key delivery metrics and milestones.
- Support programme governance and executive decision-making through timely reporting and escalation management.
Required Experience & Qualifications
-
8-12+ years of experience in Project Management, Programme Management, or Transformation Delivery.Proven experience delivering Data Management, Data Governance, or Data Transformation programmes.Strong experience managing Data Quality (DQ) remediation initiatives.Experience delivering projects involving:
- Data Lineage
- Data Models
- Data Governance
- Metadata Management
- Data Integration
- Enterprise Data Platforms
- System Design
Success Profile
The ideal candidate is a highly organised and delivery-focused Project Manager with a strong track record of managing enterprise data transformation initiatives. They excel at coordinating diverse stakeholder groups, driving remediation programmes, managing complex dependencies, and ensuring successful implementation of data management capabilities that improve data quality, governance, and business decision-making.
Why Join Capco?
- Work exclusively with leading financial services clients on high‑impact programmes
- Be part of a globally connected consulting firm with strong APAC growth momentum
- Operate in an entrepreneurial, collaborative culture with clear accountability and ownership
- Accelerate your career through exposure to complex transformations and senior stakeholders
How we rate this
Project Manager – Data Management & Transformation at Capco rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Pay
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- $111k
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