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.
- Manage project planning, execution, resource allocation, risk management, and delivery governance.
- Collaborate with business stakeholders, technical teams, architects, and clients to define project scope and delivery roadmap.
- Ensure successful implementation of data platforms, dashboards, reporting systems, predictive analytics, and AI solutions.
- Drive Agile/Scrum ceremonies and ensure timely sprint execution and milestone tracking.
- Monitor project KPIs, delivery quality, utilization, and customer satisfaction.
- Manage multiple concurrent projects while maintaining delivery excellence.
- Coordinate with engineering, QA, DevOps, cloud, and analytics teams for seamless project execution.
- Identify delivery risks, dependencies, and mitigation strategies proactively.
- Support pre-sales activities including solution discussions, estimations, project planning, and proposal reviews.
- Establish best practices for delivery management, documentation, reporting, and communication.
- 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.
- Strong understanding of:
- Data Warehousing & ETL
- Business Intelligence platforms
- Cloud Data Platforms
- AI/ML solution lifecycle
- Reporting & Analytics frameworks
- Experience working with tools/technologies such as:
- Power BI, Tableau, Looker, or Qlik
- SQL & Data Modeling
- Azure, AWS, or GCP
- Data Lakes / Data Warehouses
- AI/ML project coordination
- Strong knowledge of Agile, Scrum, and project management methodologies.
- Excellent stakeholder management and client communication skills.
- Experience managing distributed or cross-functional technical teams.
- Ability to handle delivery escalations, priorities, and deadlines effectively.
Preferred Qualifications
- Bachelor s degree in Computer Science, Software Engineering, Data Science, or related field.
- PMP, Scrum Master, or Agile certifications are a plus.
- Exposure to enterprise-scale analytics or AI transformation projects is highly preferred.
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