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Managed Services Lead

Managed Services Lead

ConfidentialGurugram, Gurgaon / Gurugram, India
5 days ago
Job description

About ProcDNA

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 300+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged; it's ingrained in our DNA. Ready to join our epic growth journey

What We Are Looking For

We are seeking a seasoned Managed Services Lead with strong expertise in Data Engineering, Reporting, Data Analysis, and Data Management . The ideal candidate should have led large delivery teams, overseen technology-driven service operations, and played a key leadership role at a department or office level. This role involves end-to-end ownership of service delivery, project governance, stakeholder management, building a Center of Excellence (CoE), and enabling scalable managed service operations.

What Youll Do

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.
  • Must have

  • Minimum 15+ years of overall experience with significant hands-on exposure to :
  • Data Engineering
  • Data Analysis & Reporting
  • Visualization tools (Power BI, Tableau, Qlik, or similar)
  • ETL / Data Integration Tools
  • Data Product and Data Management Solutions
  • Proven experience in leading and managing teams of 30+ resources in a delivery or operations environment.
  • Demonstrated experience acting as Department / Practice / Office Lead or equivalent leadership capacity.
  • Strong project management background with expertise in chartering, scoping, planning, monitoring, and governance.
  • Excellent communication, stakeholder management, decision-making, and problem-solving skills.
  • Experience in building or scaling Centers of Excellence (CoEs) is highly desirable.
  • Skills : leadership,reporting,data engineering,management,project

    Skills Required

    data engineering , Project Management, Power Bi, Qlik, Data Analysis, Tableau, Reporting, Etl

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