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.
