Director, Data

Temus; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading digital transformation firm in Singapore is looking for a Data Engineering Lead to recruit and mentor a high-performing team. The role involves managing P&L, driving data engineering solutions across sectors, while ensuring alignment with strategic objectives. Candidates should have over 10 years of experience with skills in Python, Java, and leadership. This inclusive workplace values diversity and innovation.

Qualifications

• Minimum 10 years of relevant experience in consulting/data science related functions.
• At least 3 years of leadership/people management experience.
• Deep expertise in developing and managing software for data processing.

Responsibilities

• Recruit, inspire, lead, and mentor a team of the strongest Data engineers.
• Accountable for the P&L of the Data practice.
• Manage team utilization and forecast resource requirements.
• Collaborate with strategy to create integrated digital solutions.

Skills

Python

Java

SQL

Data Development

Leadership

Communication

Data Science

Education

Bachelor’s Degree in Statistics/Computer Science/Data Analytics

Tools

AWS Glue

Databricks

MongoDB

Kinesis

Snowflake

Job description

Temus was established by Temasek in partnership with UST, to provide digital transformation solutions for the private and public sectors as we aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.

Our services span from strategic advisory through to digital, data and AI delivery. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.

We are growing quickly, and we are looking to recruit strong and highly motivated people to join us on this audacious mission.

Your objectives

• Recruit, inspire, lead, and mentor a team of the strongest Data engineers
• Use data engineering to support material impact and drive disruptive transformation across public and private sectors
• Build a world-class team with expert capabilities in data engineering
• Lead delivery of data engineering solutions through incubation, proofs-of-concept, to commercialisation and deployment

1. Define Commercial Responsibilities

• Accountable for the P&L of the Data practice, including managing project financials, monitoring revenue and costs, and maintaining a healthy pipeline of new business to meet quarterly or annual targets.
• Develop and execute strategic plans for sustainable growth and revenue expansion.

2. Specify Operational Metrics

• Manage team utilization and forecast resource requirements to ensure efficient deployment of talent.
• Optimize operational workflows and team productivity to support current and future project needs.

3. Emphasize Cross-Functional Integration

• Collaborate with strategy, design, architecture, and other teams to create integrated, end-to-end digital transformation solutions.
• Ensure AI initiatives are aligned with broader business objectives and technological ecosystems.

4. Quantify Success

• Establish KPIs such as revenue growth, project profitability, team utilization rates, client satisfaction scores, and employee retention.
• Regularly monitor and report on these metrics to measure success and inform strategic decisions.

Requirements & Qualifications

• Bachelor’s Degree in Statistics/Computer Science/Data Analytics or related quantitative field
• Minimum 10 years of relevant experience in consulting/ data science related functions with at least 3 years of leadership / people management experience
• Data Development: Deep expertise in developing and managing software for data processing: Python, Java, SQL, KSQL, Scala, Spark, Flink, Beam, AWS Glue, Google Dataflow, etc.
• Data Platforms: Deep expertise in building and managing data platforms: Databricks, HBase, MongoDB, Cassandra, Redis, PostgreSQL, Oracle, MySQL, Kafka, Kinesis, DynamoDB, Redshift, Cloud SQL, Cloud Spanner, Cloud Bigtable, Firestore, BigQuery, Azure SQL, Cosmos DB, Stream Analytics, Synapse Analytics, DeltaLake, Elasticsearch, Snowflake etc.
• Communication: Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Partnership: Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
• Leadership: Demonstrated capability to lead, inspire, coach and mentor team members and colleagues.

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.