About NexaQuanta:
NexaQuanta is a global AI solution provider delivering responsible, secure, and enterprise-grade AI transformation. We specialise in Generative AI, Agentic AI, Machine Learning, AI Risk/Security, Data Engineering, Data Lakes/Lakehouse, cloud data platforms, and Intelligent Automation. Our delivery culture is rooted in ISO 27001 and NexaQuanta's Responsible AI SDLC.
Role Overview:
The Senior AI & Data Project Manager leads the delivery of complex, multi-phase AI transformation projects supported by strong data engineering foundations. Candidates must have experience delivering BOTH AI and Data Engineering projects and must excel in stakeholder management.
Key Responsibilities:
AI & Data Project Delivery Management:
- Lead delivery of AI projects, including GenAI, RAG, NLP/Computer Vision models, and MLOps pipelines and AI Governance solutions.
- Oversee solution design, feasibility studies, PoCs, pilots, and production rollouts.
- Ensure compliance with Responsible AI SDLC, model governance, and security controls.
- Manage data lake/lakehouse implementations, data warehouses, and ETL/ELT pipelines.
- Oversee data quality, data cataloguing, lineage, and governance.
- Ensure robust data foundations for AI workloads.
Client & Stakeholder Management:
- Act as primary client-facing lead for enterprise stakeholders.
- Deliver clear communication, updates, roadmaps, and expectation management.
- Conduct discovery workshops and translate business needs into delivery plans.
Governance, RAID & Compliance:
- Maintain RAID logs, RACI, steering decks, and governance documentation.
- Ensure compliance with ISO 27001, GDPR, PDPA Pakistan, DPDP India.
- Maintain safe, explainable, and compliant AI delivery standards.
Team Leadership:
- Lead AI Engineers, Data Engineers, ML Engineers, BAs, QA and cross-functional teams.
- Drive sprint quality, documentation excellence, and engineering discipline.
Required Experience & Skills:
- 712+ years of experience delivering AI (GenAI, RAG, ML models, MLOps) and Data Engineering (Lakes, Lakehouse, ETL/ELT) projects.
- Outstanding stakeholder management.
- Strong understanding of AI/ML, and Data Engineering concepts and cloud platforms (Azure/AWS/GCP).
- Consulting experience with enterprise clients.
- Industry experience in Banking, Insurance, and ISVs.
- Certifications such as PMP, PRINCE2, Scrum Master, Azure/AWS/GCP.
What We Offer:
- Competitive salary.
- Opportunity to lead enterprise-level AI and Data transformation projects.
- Exposure to advanced GenAI and Agentic AI work.
- Collaborative culture rooted in Responsible AI.
