Key Responsibilities:

Program & Project Delivery:

- Own end-to-end delivery of Data Engineering and Analytics projects.

- Develop project plans, delivery roadmaps, milestones, and execution strategies.

- Manage multiple concurrent projects and workstreams across client engagements.

- Monitor delivery health, schedule adherence, scope, budget, quality, and risks.

- Establish governance mechanisms, status reporting, and steering committee updates.

- Drive Agile delivery processes, sprint planning, retrospectives, and release management.

- Ensure successful project execution while maintaining delivery KPIs and SLAs.

Technical Leadership:

- Lead delivery of modern cloud data platforms and analytics solutions.

Oversee implementation of:

1. Data Lakes

2. Data Warehouses

3. Lakehouse Architectures

4. Data Pipelines

5. Data Migration Programs

6. Real-time Streaming Solutions

- Guide teams on architecture, scalability, performance optimization, and engineering best practices.

- Collaborate with Solution Architects to drive technical decision-making.

- Ensure adherence to security, governance, and data quality standards.

Client & Stakeholder Management:

- Act as the primary delivery interface for client stakeholders.

- Translate business requirements into executable delivery plans.

- Drive requirement clarifications, prioritization, and scope management.

- Build strong relationships with client leadership, business users, and technical teams.

- Present project updates, risks, dependencies, and recommendations to executive stakeholders.

Team Leadership:

- Lead and mentor Data Engineers, Lead Engineers, and Technical Leads.

- Support resource planning, onboarding, utilization, and capacity management.

- Foster a high-performance delivery culture.

- Conduct performance reviews, coaching sessions, and career development discussions.

- Identify capability gaps and enable upskilling initiatives.

Risk & Financial Management:

- Manage project budgets, utilization, margin targets, and effort forecasting.

- Identify project risks and implement mitigation strategies.

- Drive issue resolution and escalation management.

- Track change requests and ensure commercial compliance.

Process Excellence:

- Champion Agile, DevOps, and DataOps practices.

- Drive continuous improvement initiatives.

- Improve delivery efficiency through automation and standardization.

- Establish metrics for release quality, deployment success, productivity, and customer satisfaction.

Required Qualifications:

Education:

- Bachelor's degree in Engineering, Computer Science, Information Technology, or related field.

- Master's degree or MBA is a plus.

Experience:

- 9-14 years of overall IT experience.

- 4+ years of experience managing Data Engineering or Analytics programs.

- Proven experience delivering enterprise-scale cloud data transformation initiatives.

- Experience managing distributed teams and global stakeholders.