Data Director

THIRD PARTY CONSULTING PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading consulting firm located in Singapore is seeking a seasoned Data Practice Leader. In this role, you will be accountable for the P&L of the Data practice, managing financials and driving sustainable growth. With a Bachelor's degree and over 10 years of experience in data science, your expertise will guide teams through integrated digital solutions. You will communicate effectively across functions, establish KPIs, and lead initiatives aligning with business objectives. This position promises an engaging and dynamic work environment.

Qualifications

• Minimum 10 years of relevant experience in consulting/data science.
• At least 3 years of leadership or people management experience.
• Strong skills in data management: accuracy, integrity, security.

Responsibilities

• Accountable for the P&L of the Data practice.
• Collaborate to create integrated digital transformation solutions.
• Establish KPIs to measure success and inform strategic decisions.

Skills

Data analysis

Cross-functional collaboration

Team leadership

Communication skills

Education

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

Tools

Python

Java

SQL

AWS Glue

Databricks

Job description

Role and 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.

Knowledge and Skills Requirements

• 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.
• 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.