Role: BI / Data Operations Domain Manager EXP: 5+Years

Location: Sydney, Australia Experience Required 10+ years of experience in Business Intelligence, Data Warehousing, Data Operations, ETL/ELT Operations, Data Platform Support, Cloud Data Operations, and businessfacing analytics operations.

Role Summary We are looking for an experienced BI / Data Operations Domain Manager to lead and manage enterprise-scale BI, data warehouse, campaign, decisioning and data operations platforms. The role requires strong technical and managerial understanding of Teradata Data Warehouse, SAS DI, SAS CI, SAS RTDM, AWS Redshift, AWS Glue, Apache Airflow, DAG-based orchestration, Qlik and related BI/data ecosystem components.

The candidate will be responsible for ensuring the stability, reliability, availability, data freshness, orchestration health, SLA adherence and operational governance of business-critical data platforms. The role requires strong business-facing capability to work with stakeholders across technology, analytics, campaign, reporting and operations teams.

The role is especially suited for a senior data operations leader who can manage both legacy enterprise BI platforms such as Teradata/SAS/Qlik and modern cloud data platforms such as AWS Redshift, AWS Glue and Airflow-based orchestration.

Telecom domain experience is highly desirable, especially with exposure to BSS/OSS, CRM, billing, campaign management, customer analytics, CDR, network, revenue, product and customer data. Existing internal references mention Teradata, SAS, RTDM and Qlik usage in telecom BI/data environments.

Required Technical Skills Mandatory

Skills

Skill Area Required Capability

Data

Warehousing Strong understanding of enterprise data warehouse concepts, ETL/ELT, data marts, dimensional modelling, facts, dimensions, aggregations and reporting layers

Teradata Strong working knowledge of Teradata database operations, SQL, performance tuning, load processes and production support





AWS Redshift Experience managing/supporting Redshift workloads, data loads, query performance, workload monitoring and cloud data warehouse operations

AWS Glue Experience with Glue jobs, crawlers, ETL/ELT processing, scheduling, monitoring, job failure handling and integration with cloud data platforms

Apache Airflow Experience managing Airflow orchestration, DAG monitoring, task dependencies, retries, SLA misses, operational alerts and failed pipeline recovery

DAG

Management Strong understanding of DAG design principles,

upstream/downstream dependencies, restartability, scheduling, operational ownership and dependency mapping

SAS DI Experience managing/supporting SAS Data Integration jobs, ETL flows, batch schedules and operational failures

SAS CI Understanding of campaign management processes, campaign data preparation, segmentation, eligibility and marketing operations

SAS RTDM Understanding of real-time decisioning, interaction decision logic and operational support of decisioning platforms

Qlik Experience supporting Qlik dashboards/reports, refresh cycles, data models and business reporting issues

SQL Strong SQL skills for data analysis, troubleshooting, reconciliation and performance investigation

Production Support Strong experience in incident, problem, change, release, deployment and SLA management

- Customer segmentation and eligibility data
- KPI reporting for business, operations, marketing and executive teams

Telecom exposure is desirable because the role requires understanding how businesscritical data supports daily operational decisions, customer campaigns, revenue reporting,



service performance and executive KPI dashboards. Existing internal references describe telecom environments involving BSS/OSS, Siebel, SAS, Teradata, RTDM and Qlik applications.

The candidate should demonstrate

- Strong business-facing communication skills.
- Ability to explain technical data/platform issues in simple business language.
- Ability to lead teams across legacy BI, SAS, cloud data platforms and orchestration technologies.
- Good understanding of critical KPIs, SLA commitments and data-driven business processes.
- Solid documentation, governance and process discipline.
- Ability to drive automation, monitoring improvements and operational efficiency.

Qualifications • Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Analytics or equivalent discipline.

- 10+ years of experience in BI, Data Warehousing, Data Operations, Data Platform Management or Cloud Data Operations.
- Prior experience in telecom, banking, utilities or large enterprise data environments is preferred.
- Experience managing production support teams or BI/Data operations teams is strongly preferred.

Main Duties / Responsibilities – HR Format The BI / Data Operations Domain Manager will be responsible for:

- Managing day-to-day operations of BI, Data Warehouse, Cloud Data and Analytics platforms.
- Ensuring stable execution of Teradata loads, SAS flows, AWS Glue jobs, Airflow DAGs, Qlik refreshes, reports and campaign data processes.
- Managing operational support activities across Teradata, SAS DI, SAS CI, SAS RTDM, AWS Redshift, AWS Glue, Airflow and Qlik.
- Monitoring DAG execution, Glue job failures, batch delays, ETL failures, report refresh issues and business-critical data delivery risks.
- Ensuring business-critical reports, dashboards, extracts and data feeds are delivered within agreed SLA timelines.
- Monitoring business-critical KPIs, data freshness, data completeness and data availability.

📌 Business Intelligence Analyst (Sydney)
🏢 RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
📍 Sydney