Director, Data

Temus; Singapore; On-site; SGD 180,000 - 320,000; Full time

Job summary

Temus seeks a seasoned data engineering leader to define and grow a high-impact data practice. You will lead a team of data engineers, drive end-to-end data transformation programs for public and private sectors, and align AI initiatives with business goals.

The role requires 10+ years in consulting/data science with 3+ years in leadership, strong communication, and deep expertise in data platforms and development tools. Join an equal-opportunity employer championing diversity and innovation.

Qualifications

• Minimum 10 years of relevant experience in consulting/data science with at least 3 years of leadership/people management.
• Deep software data processing expertise across Python, Java, SQL, KSQL, Scala, Spark, Flink, Beam, AWS Glue, Dataflow.

Responsibilities

• Define Commercial Responsibilities with P&L accountability for the Data practice.
• Specify Operational Metrics and forecast resource utilization.
• Emphasize Cross-Functional Integration with strategy, design, and architecture teams.
• Quantify Success via KPIs: revenue growth, profitability, utilization, client satisfaction, retention.

Skills

Leadership

Communication

Data governance

Data management

Strategy

Mentoring

Tools

Python

Java

SQL

KSQL

Scala

Spark

Flink

Beam

AWS Glue

Google Dataflow

Job description

Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. W__e 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

Key Roles & Responsibilities:

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:

• Minimum 10 years of relevant experience in consulting/ data science related functions with 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.
• Data Management & Governance: Strong skills in data management: accuracy, integrity, latency, classification, security, lineage, metadata, 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.

By applying for this role, you have read and acknowledge the data privacy statement via this link -temus.com/job-applicant-data-protection/.