Director, Data Platforms - DFS5218441 in Singapore at DFS

發布日期 10/2/2021



The DFS Technology team is seeking a Director to lead its Data Platform engineering team – a global role, based in Singapore. This individual will be responsible for driving technology strategy, solution design, engineering, and operations of DFS data platform. They will do this by working collaboratively with other IT domains, business product owners, data & analytics stakeholders, brand partners, and external technology partners to execute the Data Platform technology roadmap. The Director, their team members and technology partners will work with business leaders and product owners to drive the roadmap in support of DFS’ overall vision and business objectives. The candidate should possess a balance of technical depth, business acumen, and strong communication skills. Candidate should be independent, results-oriented, eager to learn and with a passion for technology.

Key Responsibilities:

• Provide overall people and technology leadership to the Data Platform team within Global Technology.
• Develop strategy, goals, and lead the execution of data engineering, data architecture, and data analytics to align with organization objectives and inter-department goals and targets.
• Responsible for co-developing and executing on company-wide data strategy and partnering with other department heads.
• Collaborate with development teams to shape and drive tactical and strategic development of data infrastructure, reporting and analytical applications.
• Partner with product owners, tech leads, technology partners and cross-functional teams to implement solutions that meet the needs of the enterprise.
• Oversee solution design for all data engineering activities for all components of the data platform – including ETL, data warehouse, business intelligence semantic layer, data visualization layers and big data platform.
• Drive day-to-day service delivery for the data platform, leading initiatives to improve long-term performance, system stability, scalability, security, and resilience of services.
• Develop and maintain excellent relationships with business leaders and teams from across the DFS organization.
• Lead the technology strategy and budget planning and management processes for Data Platform team and contribute to the wider enterprise technology strategy.
• Drive long-term relationships with external technology partners.
• Stewardship of overall IT services for the Data Platform capability, including customer satisfaction, service availability, service quality, communications, and DR strategy.
• Engage DFS business-oriented partners (i.e., brands, logistics partners) and their technology affiliates to drive data engineering initiatives which further the DFS business strategy.
• Identify opportunities to exploit and enhance BI landscape and data integration capabilities.
• Work with Extended IT teams in Hong-Kong, Singapore, and offshore teams in India
• Successful candidates: •Will have experience leading, motivating, coaching, and developing diverse teams composed of direct, indirect, and external members. •Will have experience developing and managing budgets at the domain, program, and project level of both capital and operational nature. •Will have experience leading support for production systems with emphasis on service delivery, problem management, and the effective mitigation of technology obsolescence. •Will have experience working in a multi-vendor environment. •Will have experience managing overseas teams.

Key Requirements:

• Bachelor’s or Master’s degree in Engineering, Computer Science or equivalent
• 10-12 years of experience designing and delivering technology solutions in the data domain through consulting or in-house technology roles including 6-8 years of people leadership.
• Fluency in presenting abstract data concepts, storytelling and driving actionable results from analytical findings
• Professional / technology certification is desirable
• Demonstrates thorough abilities and/or a proven record of success in the following areas:
• Experience in various end-user BI reporting platforms – e.g., MicroStrategy, Power BI, Domo, Tableau, Qlik
• Experience in various data storage tools and platforms – e.g., Snowflake, AWS Redshift, Hadoop (Hortonworks/Cloudera, Hbase, Hive), DynamoDB, Elasticsearch, Amazon S3, Microsoft Power BI
• Experience in various data integration solutions: IBM Datastage, Kafka, Nifi
• Vendor management
• Stakeholder communications and management
• Ability to work under pressure, independently and deliver quality work in a fast-paced work environment