- Lead full lifecycle data analytics projects, including discovery, planning, design, development, testing, deployment, and post-delivery support.

- Manage project scope, timelines, budgets, resources, and risks to ensure successful, on-time, and high-quality delivery.

- Collaborate with cross-functional teams including data engineers, data analysts, BI developers, architects, and business stakeholders to translate business needs into scalable analytics solutions.

- Drive adoption of Agile, Waterfall, or hybrid delivery methodologies depending on project requirements.

- Ensure strong data quality management, governance, security, and compliance with organizational and industry standards.

- Oversee the design, development, and deployment of analytics solutions using Microsoft Fabric components such as OneLake, Lakehouse, Databricks, Data Factory, Synapse, and Power BI.

- Maintain clear documentation including project plans, risk logs, roadmaps, and communication plans.

- Provide consistent project updates, dashboards, and executive-level reporting to leadership and stakeholders.

- Conduct requirement workshops, facilitate alignment discussions, and manage change requests effectively.

- Identify project issues proactively, implement mitigation strategies, and escalate when needed.

- Support user adoption by coordinating UAT, training plans, and go-live activities.

- Partner with architecture teams to ensure alignment with data platform strategy and scalable solution design.