Project Manager

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.

7. Preferred / Nice-to-Have: Domain experience (e.g., properties,food, real estate, Shared services etc). Certifications: PMP, PRINCE2, Agile,