Wildlife Reserves Singapore (WRS) is the holding company of the award-winning attractions Jurong Bird Park, Night Safari, River Safari and Singapore Zoo. WRS is dedicated to the management of world-class leisure attractions that foster conservation and research while educating visitors about animals and their habitats. As champions for Wildlife, we lead actions to protect them, inspire a love for wildlife and spark a sense of wonder in everyone, regardless of our roles.
Come 2024, we will be adding a new Bird Park, a Rainforest Park, nature themed indoor attraction and Eco-resort as part of our Mandai rejuvenation plan. If you are a team leader, self-driven, and looking for growth and new challenges, we want you to be part of our team.
We are seeking a highly driven individual to join the IT Project Management Office and contribute to the rejuvenation of our parks and transform Mandai Precinct into an integrated nature and wildlife destination.
Reporting Deputy Vice President of the IT Project Management Office, the candidate will lead the technical direction for enterprise solutions across varied platforms, focusing on Enterprise Data Architecture, Data Governance, Data Analysis to derive insights for positive business outcomes.
Take part in managing digital transformation projects from planning to operation that include the design, specifications development, procurement, to working with the vendor in implementing the Enterprise Data Platform and oversees the continuous user adoption data and self-service reporting.
Job Duties and Responsibilities:
This role calls for a strong Senior Data Architect with deep technical knowledge and broad in-field experience to design the enterprise data analytics architecture, applying machine learning and artificial intelligence to transform meta data into actionable insights.
Exhibit strong financial acumen in understanding of business drivers and commercial frameworks and lead the technical data driven strategy to analyse trends and provide business intelligence for improvement of WRS’ triple bottom line.
Partner business stakeholders and work closely with project team members and vendor to translate business requirements into tender specifications to deliver a robust and scalable data analytics framework to drive organization excellence and create differentiated experiences for our guests.
Manage a team of vendors to implement the Enterprise Data Platform in Microsoft Azure including design, develop and implement the data models, data warehouse, data lake internal and ELT processes for external data pipelines.
Define and maintain Customer Entity Framework and Data Life Cycle Management.
Implement Customer 3600 solutions like Customer Identity Management and Customer Data Platform.
Create uniformed data dictionary across organisation to improve enterprise data literacy across organisation.
Support the day-to-day maintenance of dashboard and reporting services.
Degree in Computer Science/ Information Technology or equivalent.
Minimum 5-8 years of experience in delivering enterprise solutions across varied platforms, focusing on data architecture, data governance, data asset management, data modelling & taxonomy and business intelligence & analytics.
The following technologies are important to us. Although we understand the level of experience may vary in certain areas, the candidate will be expected to be advanced in these areas:
o Azure Data Platform implementation:
Azure Data Factory, Azure Data Bricks, SSIS
Azure Synapse Data Warehouse
Azure Analysis Services and Data Marts
Azure Data Lake and MS SQL Server 2019
Operational Data Store (MS SQL, Mongo DB, Maria DB, Cosmo DB)
Data API, Discovery, Classification, Lineage and Catalog
o MS Power BI dashboards and paginated reporting in Excel or CSV format
o Programming languages: Python, Java, and Scala
o Microsoft Dynamics 365 CRM and Customer Data Platform
o Customer Identity and Access Management (SSO, SAML, OAuth2.0)
o Solid understanding of data security protocols and enabling access controls.
o Database: MYSQL, Mongo DB, Maria DB, Cosmo DB (added advantage)
o Experience in any big data technologies will be an advantage (Hadoop, Spark, Hive)
Experience in handling sensitive, confidential, PII information in large data systems.
Ability to understand complex landscape and changing business needs, and process strong problem-solving capability in a holistic approach.
Able to work well under pressure, last minute changes and tight deadlines
Able to work collaboratively with multiple teams working in different modules and technologies
Strong communication and interpersonal skills, with ability to manage multiple stakeholders
Excellent analytical, organizational and presentation skills
Strong vendor and people management skills
Domain knowledge in the travel & attractions, hospitality, retail industry and/or financial services is highly beneficial