You will be responsible for the end-to-end planning, definition, procurement, and delivery of the AI-powered Enterprise Data Warehouse (EDW) project.
Responsibilities
Project Initiation and Alignment
- Lead and define the project scope, objectives, success criteria, business outcomes, key performance indicators (KPIs), deliverables, and implementation milestones for the AI-powered Enterprise Data Warehouse (EDW) project.
- Ensure all business and technical requirements are clearly defined, measurable, complete, and sufficiently detailed to support an open tender process and enable effective vendor delivery.
Business & Operational Requirements Gathering
- Engage stakeholders across all business units by organizing data discovery sessions, requirements workshops, and user engagement sessions to elicit, analyze, and document business and operational requirements, including reporting and analytics needs, KPIs and performance measurement requirements, operational workflows, and data usage.
- Consolidate stakeholder inputs into comprehensive project documentation, including the Business Requirements Document (BRD), functional requirements, and use cases.
- Validate key aspects of the solution, including data flow from source systems to reporting outputs, data integration, data quality, governance, and analytics use cases (such as reports and dashboards), ensuring AI and analytics use cases are business-driven, clearly defined, and measurable outcomes.
Tender and Vendor Management
- Plan and manage the end-to-end open tender process for the procurement of a turnkey AI-powered Enterprise Data Warehouse (EDW) solution, including the preparation of comprehensive tender documentation covering the project scope, functional requirements, deliverables, milestones, acceptance criteria, and vendor performance expectations.
- Act as the single point of accountability for vendor performance and management, providing overall oversight to ensure the successful delivery of the AI-powered Enterprise Data Warehouse (EDW) project according to project milestones, delivery timelines, quality standards and contractual obligations.
- Review and validate all deliverables against the approved business requirements, tender specifications, functional requirements, and acceptance criteria to ensure compliance with project objectives.
Data Governance, Privacy and Responsible use of AI
- Ensure data governance, data quality, information security, cybersecurity, and personal data protection such as Personal Data Protection Act (PDPA) are clearly captured in the business requirements, tender specifications, and vendor contract.
Qualifications
- Diploma/Degree in Computer Science / IT or equivalent.
- Any relevant qualifications and certifications include project management certifications such as PMP.
- Additional training or exposure in business analysis, requirements management, procurement, tendering, and vendor management are preferred.
Required Skills
- Minimum 2–3 years of experience in the implementation of Enterprise Data Warehouse (EDW) or comparable data warehouse or data integration projects.
- Must possess strong project planning, documentation, stakeholder management, and vendor management skills.
- Proven track record in successfully delivering Enterprise Data Warehouse (EDW) or similar large-scale data and analytics projects, particularly in complex or first-time implementation environments.
- Practical understanding of Enterprise Data Warehouse (EDW) and analytics environments, including data flow from source systems to reporting outputs, reporting and dashboarding, KPI frameworks, and key concepts of data quality, integration, and governance.
- Strong awareness and good understanding of AI and analytics use cases in business environments.
- Have knowledge or experience in the following technologies:
- Enterprise Data Warehouse (EDW) platforms and architectures
- Cloud data platforms such as Snowflake and Microsoft Azure (e.g., Azure Data Factory, Microsoft Fabric, etc)
- Data integration and ETL processes and tools, data migration methodologies and implementation approaches
- Data modelling concepts (conceptual, logical, and physical data models)
- Business intelligence and reporting tools such as Power BI or equivalent
- Data governance, data quality, and metadata management practices
- You are also required to work irregular hours to rectify any issues, to upgrade system, to ensure system availability and to be on standby onsite for any events as and when required.
Pay range and compensation package
- Salary range: $7,000-$8,500
- One-month incentive payment upon completion of 12 months of service successfully.
If you are keen to apply for this position and satisfy the requirements, please apply with your resume indicating your current and expected salary as well as details of your experiences. We thank you for your interest in the position and Esplanade. Only shortlisted applicants will be notified.
