Service Delivery Manager

We are seeking a seasoned Service Delivery Manager with 12–18 years of overall experience in managing enterprise data operations and support services, including at least 10 years in the field. The candidate will be responsible for overseeing production support, ensuring service excellence, driving operational efficiency, and leading teams to deliver reliable and scalable data solutions aligned with business objectives.

12+ years of professional experience in Data Engineering, Application Support, or related fields
Monitor, troubleshoot, and optimize batch processes running on ADF pipelines, ADLS, and ETL tools (DataStage, Informatica, SSIS, Oracle Data Integrator).
Analyze system logs, error messages, and performance metrics to identify patterns, trends, and root causes of failures.
Working knowledge of ITSM tools and schedulers
Manage and support Azure-based data workflows, including ingestion, transformation, and storage.
Work on data migration projects from legacy ETL platforms to modern cloud-based solutions (Azure Data Factory, Databricks).
Provide production support for large-scale data integration projects, ensuring SLA compliance and timely resolution of issues.
Collaborate with cross-functional teams to support enterprise data warehouse and reporting systems.
Use ITSM tools (ServiceNow, Remedy, or equivalent) to log, track, and resolve incidents.
Manage job schedulers (Control-M, Autosys, or equivalent) to ensure smooth execution of workflows.
Develop and maintain automation scripts in Python, UNIX Shell, or Perl to streamline monitoring and support tasks.
Communicate effectively with stakeholders during outages, SLA misses, or escalations, ensuring transparency and timely updates.
Contribute to presales activities by preparing RFP responses, solution documentation, and technical presentations.
Ensure adherence to support processes and industry best practices while continuously improving operational efficiency.
Working knowledge of ITSM tools and schedulers
Understanding of at least one scripting language (Perl, Python, UNIX Shell)
Awareness of support processes and best practices
SQL / PL/SQL
Azure Data Factory (ADF), Azure Data Lake Storage (ADLS)
ETL tools: Datastage, Informatica, Oracle Data Integrator, SSIS
Unix/Linux commands
Job schedulers (Control-M, Autosys)
Scripting languages: Perl, Python, UNIX Shell
Strong written and verbal communication
Inform stakeholders in case of failures or SLA misses; involve appropriate teams to debug and fix issues
Strong written and verbal communication skills
Ability to work independently and collaborate effectively in a team environment
Experience in RFP preparation and Presales activities will be a strong advantage