1. AI & Data Project Delivery: Minimum of 8 years of experience in managing end-to-end AI/ML or advanced analytics projects (from discovery to production).

Experience with MLOps practices (CI/CD for ML, model monitoring, retraining workflows). Exposure to AI/ML tools and platforms (Azure ML, AWS SageMaker, GCP Vertex AI).

Experience in Gen AI and Agentic AI projects

2. Data & Technology: Experience in data-driven projects (data engineering, data warehousing, or analytics). Familiarity with data governance, quality, and security frameworks. Understanding of cloud environments (Azure, AWS, GCP) and containerization Docker, Kubernetes).

3. Project & Program Management: 8+ years in project management, preferably in AI, data, or digital transformation. Experience with Agile/Scrum and hybrid delivery models. Strong background in budgeting, resource planning, and vendor management.

4. Business & Strategy: Experience in translating business problems into AI use cases with measurable ROI. Proven ability to manage executive stakeholders and drive adoption. Exposure to change management and organizational readiness for AI.

5. Governance & Compliance: Experience implementing Responsible AI practices (bias, fairness, explainability). Familiarity with regulatory compliance (GDPR, CCPA, AI Act) and risk management.

6. Leadership & Collaboration: Leading cross-functional teams (data scientists, engineers, product owners). Managing third-party vendors or partners for AI solutions. Driving continuous improvement in delivery processes.

Preferred / Nice-to-Have:

Domain experience (e.g., properties, food, real estate, Shared services etc). Certifications: PMP, PRINCE2, Agile, or AI/ML-related certifications.