Position Title : Delivery Manager – Data, BI & AI
Experience Required: 6–8 Years (Should be open to Travel)
Employment Type :Full-Time
Job Overview
We are looking for an experienced Delivery Manager to lead the successful execution and delivery of Data, Business Intelligence (BI), and AI-driven projects. The ideal candidate will have a strong background in managing cross-functional technical teams, driving client engagement, ensuring project governance, and delivering scalable analytics and AI solutions within timelines and budget.
The role requires a combination of project delivery expertise, stakeholder management, technical understanding, and operational leadership.
Key Responsibilities-
Lead end-to-end delivery of Data Engineering, BI, Analytics, and AI/ML projects.
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Manage project planning, execution, resource allocation, risk management, and delivery governance.
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Collaborate with business stakeholders, technical teams, architects, and clients to define project scope and delivery roadmap.
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Ensure successful implementation of data platforms, dashboards, reporting systems, predictive analytics, and AI solutions.
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Drive Agile/Scrum ceremonies and ensure timely sprint execution and milestone tracking.
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Monitor project KPIs, delivery quality, utilization, and customer satisfaction.
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Manage multiple concurrent projects while maintaining delivery excellence.
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Coordinate with engineering, QA, DevOps, cloud, and analytics teams for seamless project execution.
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Identify delivery risks, dependencies, and mitigation strategies proactively.
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Support pre-sales activities including solution discussions, estimations, project planning, and proposal reviews.
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Establish best practices for delivery management, documentation, reporting, and communication.
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Mentor team leads and project teams to improve execution efficiency and performance.
Required Skills & Expertise-
Proven experience delivering Data, BI, Analytics, and AI/ML projects.
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Strong understanding of:
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Data Warehousing & ETL
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Business Intelligence platforms
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Cloud Data Platforms
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AI/ML solution lifecycle
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Reporting & Analytics frameworks
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Experience working with tools/technologies such as:
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Power BI, Tableau, Looker, or Qlik
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SQL & Data Modeling
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Azure, AWS, or GCP
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Data Lakes / Data Warehouses
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AI/ML project coordination
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Strong knowledge of Agile, Scrum, and project management methodologies.
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Excellent stakeholder management and client communication skills.
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Experience managing distributed or cross-functional technical teams.
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Ability to handle delivery escalations, priorities, and deadlines effectively.
Preferred Qualifications-
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field.
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PMP, Scrum Master, or Agile certifications are a plus.
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Exposure to enterprise-scale analytics or AI transformation projects is highly preferred.
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