Director, Data

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.

• 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

• →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.

• 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.

• 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.

• 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.

• 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.