Managed Services Lead

Procdna

15 - 20 years

20 - 25 Lacs

gurugram

Posted:2 days ago| Platform:

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Skills Required

python data analysis service management qlikview development power bi presales business intelligence sql server qlikview sql business intelligence reporting qlik nprinting tableau people management skills data modeling service delivery itil

Work Mode

Work from Office

Job Type

Full Time

Job Description

Service Delivery & Leadership

Lead and manage end-to-end delivery of Managed Services across multiple client engagements.
Serve as the department or site lead, providing strategic direction, operational oversight, and performance management.
Manage and mentor a large team of 20+ cross-functional resources including data engineers, analysts, reporting specialists, and technical leads.
Oversee workforce planning, capacity forecasting, resource deployment, and skill development initiatives.

Project & Program Management

Drive project governance including project charters, planning, scoping, and execution oversight.
Establish, track, and report KPIs, SLAs, operational metrics, and performance indicators for service excellence.
Ensure risk mitigation, issue resolution, and continuous improvement across managed service programs.
Collaborate with business stakeholders and client leadership teams to ensure seamless execution and alignment with business outcomes.

Technology & Data Management

Lead solution design and review across Reporting, Data Engineering, and Data Analysis initiatives.
Oversee implementation and maintenance of ETL processes, data pipelines, and data integration workflows .
Guide teams in building and managing data products, dashboards, and visualization solutions using tools such as Power BI, Tableau, Qlik, etc.
Define and enforce data governance, quality frameworks, documentation standards, and best practices .

Center of Excellence (CoE) Development

Build and scale a Data Engineering and Reporting CoE to standardize delivery practices and reusable frameworks.
Define capability development roadmap, training structures, competency frameworks, and knowledge repositories.
Introduce automation, accelerators, and delivery playbooks to enhance productivity and delivery consistency.

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