Data Director

THIRD PARTY CONSULTING PTE. LTD.; Singapore; On-site; SGD 150,000 - 200,000; Full time

Job summary

A prominent consulting firm located in Singapore is seeking a proficient leader for their Data practice. The successful candidate will manage project financials and team utilization while driving strategic growth initiatives. Applicants should possess a Bachelor's in Statistics or related field along with 10 years of consulting or data science experience, including at least 3 in management. Strong technical skills in data processing languages and a deep understanding of data platforms are essential. Excellent communication and leadership capabilities are a must.

Qualifications

• Minimum 10 years of relevant experience in consulting or data science.
• At least 3 years of leadership experience.
• Deep expertise in software development for data processing.

Responsibilities

• Accountable for P&L of the Data practice.
• Manage team utilization and forecast resource needs.
• Collaborate with cross-functional teams on projects.

Skills

Data processing with Python

Data processing with Java

Data processing with SQL

Data management and governance

Strong communication skills

Leadership abilities

Client relationship management

Education

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

Tools

Databricks

AWS Glue

Google Dataflow

PostgreSQL

Snowflake

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.