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Delivery Manager

Job in 500001, Hyderabad, Telangana, India
Listing for: Capgemini
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Job Description & How to Apply Below
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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