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 :
7–12+ 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.