JMAN Group - Managed Services Delivery Manager - Data & Analytics

Technical specifications :

- 7+ years of experience in managing Data & Analytics service delivery, preferably within a Managed Services or consulting environment.

- Experience in managing support for modern data platforms across Azure, Databricks, Fabric, or Snowflake environments.

- Strong understanding of data engineering and analytics concepts, including ELT/ETL pipelines, data warehousing, and reporting layers.

- Experience in ticketing, issue triaging, SLAs, and capacity planning for BAU operations.

- Hands-on understanding of SQL and scripting languages (Python preferred) for debugging/troubleshooting.

- Proficient with cloud platforms like Azure and AWS; familiarity with DevOps practices is a plus.

- Familiarity with orchestration and data pipeline tools such as ADF, Synapse, dbt, Matillion, or Fabric.

- Understanding of monitoring tools, incident management practices, and alerting systems (e.g., Datadog, Azure Monitor, PagerDuty).

- Strong stakeholder communication, documentation, and presentation skills.

- Experience working with global teams and collaborating across time zones.

Responsibilities :

- Serve as the primary owner for all managed service engagements across all clients, ensuring SLAs and KPIs are met consistently.

- Continuously improve the operating model, including ticket workflows, escalation paths, and monitoring practices.

- Coordinate triaging and resolution of incidents and service requests raised by client stakeholders.

- Collaborate with client and internal cluster teams to manage operational roadmaps, recurring issues, and enhancement backlogs.

- Lead a >40 member team of Data Engineers and Consultants across offices, ensuring highquality delivery and adherence to standards.

- Support transition from project mode to Managed Services - including knowledge transfer, documentation, and platform walkthroughs.

- Ensure documentation is up to date for architecture, SOPs, and common issues.

- Contribute to service reviews, retrospectives, and continuous improvement planning.

- Report on service metrics, root cause analyses, and team utilization to internal and client stakeholders.

- Participate in resourcing and onboarding planning in collaboration with engagement managers, resourcing managers and internal cluster leads.

- Act as a coach and mentor to junior team members, promoting skill development and strong delivery culture.

Required Skillset :

- ETL or ELT : Azure Data Factory, Databricks, Synapse, dbt (any two - Mandatory).

- Data Warehousing : Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory).

- Data Visualization : Looker, Power BI, Tableau (Basic understanding to support stakeholder queries).

- Cloud : Azure (Mandatory), AWS or GCP (Good to have).

- SQL and Scripting : Ability to read/debug SQL and Python scripts.

- Monitoring : Azure Monitor, Log Analytics, Datadog, or equivalent tools.

- Ticketing & Workflow Tools : Freshdesk, Jira, ServiceNow, or similar.

- DevOps : Containerizati