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Capgemini Linkedin · Posted 1mo ago

Delivery Manager

Hyderabad, Telangana, India

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Indexed description

We are seeking an experienced Delivery Manager to lead end-to-end delivery of complex data programs across Business Intelligence, Data Warehousing, and Analytics domains. You will act as the primary point of accountability for project outcomes — bridging business stakeholders, data engineering teams, and technology leadership to drive successful delivery at scale.


Key responsibilities:

  • Own end-to-end delivery of BI/DW, Data Warehousing, and Data Analytics engagements from initiation through closure, ensuring on-time, on-budget, and on-scope outcomes.
  • Serve as the primary client-facing escalation point, managing stakeholder expectations, resolving risks, and maintaining executive-level relationships.
  • Drive delivery governance across multiple concurrent data management and data governance programs, enforcing standards, quality gates, and reporting cadences.
  • Collaborate with solution architects, data engineers, and BI developers to plan sprints, manage dependencies, and unblock delivery teams.
  • Lead discovery, estimation, and proposal activities for new Business Intelligence and data platform engagements.
  • Define and track KPIs, SLAs, and delivery metrics across active projects; provide transparent reporting to senior leadership and clients.
  • Champion Agile/Scrum and hybrid delivery methodologies tailored to data project complexity and client maturity.
  • Mentor junior project managers and delivery leads within the data practice.


Required qualifications:

  • 10+ years of overall IT experience with at least 6+ years managing data-centric engagements (BI, DWH, Data Analytics, or Data Platform programs).
  • Proven track record of delivering large-scale Data Warehousing (DWH) and Business Intelligence projects end-to-end.
  • Hands-on experience managing programs involving tools such as Snowflake, Azure Synapse, Redshift, Databricks, Power BI, Tableau, or equivalent platforms.
  • Strong understanding of data governance frameworks — data lineage, data quality, metadata management, and compliance (GDPR/DPDP).
  • Proficiency in delivery methodologies: Agile, SAFe, Waterfall, or hybrid models.
  • Excellent stakeholder management and executive communication skills.
  • Experience with risk management, change control, and contract management in a consulting or managed services environment.

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