Role : Data Architect / Manager

Experience : 10-15 Years

Location : Bengaluru (Remote)

Notice Period : Immediate or max 15 days preferred

Key Responsibilities :

1. Delivery Management :

- Lead multiple delivery pods across AI, Data Engineering, and Analytics projects.

- Own sprint planning, backlog management, delivery quality, and execution.

- Track project risks, dependencies, and escalations.

- Ensure successful execution of project milestones and SOW commitments.

2. Team Leadership :

- Manage AI Engineers, Data Engineers, Architects, Scrum Leads, and Technical Leads.

- Mentor and coach engineering teams.

- Conduct performance reviews and support career development.

- Drive engineering excellence and delivery best practices.

3. Technical Leadership :

- Review solution architecture and technical designs.

- Guide teams on AI, LLMs, RAG, Agentic AI, Data Engineering, and Cloud platforms.

- Ensure scalable, secure, and production-ready solutions.

- Collaborate with solution architects on technical decisions.

4. Client Management :

- Participate in discovery workshops and solution discussions.

- Provide delivery updates to stakeholders.

- Manage client expectations and resolve delivery issues.

- Build trusted relationships with business and technical stakeholders.

5. Operational Excellence :

- Improve delivery processes and governance.

- Support hiring and technical interviews.

- Monitor resource utilization and delivery metrics.

Required Experience :

- 10-20 years of experience in Software Engineering, Data Engineering, AI, or Enterprise Technology.

- Minimum 5 years leading engineering or delivery teams.

- Experience delivering enterprise AI, Data Engineering, Analytics, or Cloud projects.

- Strong client-facing consulting or professional services experience.

- Experience working in fast-paced, high-growth environments.

Technical Skills :

- AI / Machine Learning

- Generative AI, LLMs & RAG

- Agentic AI Frameworks

- Data Engineering & Data Pipelines

- Cloud Platforms (Azure, AWS, GCP)

- MLOps / DevOps

- Technical Architecture

- Agile / Scrum Delivery