Skills And Experience
4.1 Experience & Technical Fluency
Total Experience: 10–15 years in IT project/program management, with at least 3–5 years specifically managing AI, Machine Learning, Data, or Cloud transformation programs.
AI Domain Knowledge: Strong conceptual understanding of GenAI, Predictive AI, Agentic AI, RAG (Retrieval-Augmented Generation), and foundation models to effectively manage technical squads.
Cloud & Infrastructure: Familiarity with cloud platforms (specifically Azure AI/Data services) and hybrid deployment constraints (data residency, latency, secure interconnects).
Lifecycle Management: Solid understanding of MLOps, LLMOps, and software development lifecycles (SDLC) for model deployment, continuous evaluation, and prompt engineering.
Banking/Regulated Environments: Proven experience delivering technology programs in highly regulated sectors (Banking/Financial Services), with a deep understanding of data privacy, security-by-design, and compliance requirements.
4.2 Competency Matrix
Competency Area
Expected Capability
Program Management
Agile, SAFe, Scrum, capacity planning, budget management, roadmap development, and dependency mapping.
AI & Data Literacy
Foundational understanding of ML lifecycles, GenAI/Agentic AI concepts, RAG, semantic search, and MLOps/LLMOps.
Risk & Governance
Managing delivery within strict regulatory guardrails, tracking Responsible AI controls, privacy, and compliance gates.
Stakeholder Leadership
Executive reporting, cross-squad coordination, conflict resolution, vendor management, and steering committee facilitation.
Strategic Execution
Translating architectural blueprints and business goals into structured, phased delivery plans with measurable KPIs.
Education: Bachelor's degree in Business, Computer Science, Information Technology, or a related field. Master's degree or MBA is a plus.
Certifications
Active PMP, PgMP, PRINCE2, or Agile/SAFe certifications are highly preferred.
Certifications in Cloud Practitioner (Azure) or AI/ML Foundations are a strong advantage.
