Minimum Requirement
Key Responsibilities
- Strategic Governance & Compliance
- Define and enforce the Project Management Framework (Agile, Waterfall, or Hybrid) tailored for big data implementation.
- Ensure all data ingestion and storage processes comply with financial authority regulations and data privacy laws regarding data residency.
- Facilitate Steering Committee meetings, providing transparent reporting on progress, roadblocks, and strategic pivots.
- Project Lifecycle Management
- Lead the planning and execution of the Data Lake roadmap, covering Data Ingestion, Data Processing (ETL/ELT), and Consumption Layers.
- Manage cross-functional dependencies between Data Engineers, Architects, Security, and Cloud Infrastructure teams.
- Proactively identify, track, and mitigate project risks—specifically regarding data integrity, lineage, and system downtime.
- Stakeholder & Vendor Management
- Act as the primary liaison between technical teams and business stakeholders (Retail, Risk, Wholesale, and Finance) to ensure the Data Lake meets commercial and analytical requirements.
- Manage relationships with external vendors and consultants, ensuring high-quality deliverables and strict adherence to SLAs (Service Level Agreements).
- Financial Stewardship
- Oversee the project budget, tracking CAPEX and OPEX utilization to ensure the initiative remains financially viable.
- Optimize resource allocation (man-hours and infrastructure) across multiple project workstreams.
Required Skills
Professional Qualifications
Category |
RequirementEducation | Bachelor's or Master's Degree in Computer Science, Information Systems, or a related field.
Experience | Minimum of
8–10 years in Project Management, with at least
3–5 years leading Big Data, Data Warehouse, or Data Lake initiatives within the
Banking or Financial Services sector.
Certifications |
PMP or
PRINCE2 is mandatory.
Scrum Master (CSM) or
Cloud Practitioner (AWS/Azure/GCP) certifications are highly preferred.
Technical Literacy | Solid understanding of data ecosystems:
Hadoop, Spark, Delta Lake, Snowflake, or
Cloudera, and familiarity with Data Governance frameworks.
Language | Full professional proficiency in
English and
Bahasa Indonesia for technical reporting and stakeholder management.
- Essential Competencies
- Strategic Influence: Ability to navigate a complex corporate matrix and align diverse stakeholders toward a single data vision.
- Complex Problem Solving: Skilled at resolving technical bottlenecks and resource conflicts in high-pressure environments.
- Regulatory Acumen: Strong understanding of IT risk management and compliance standards specific to the financial industry.
Nice to Have
