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AI Program Manager (30LPA, AI Implementation and Banking experience)

  • Source: LinkedIn
  • Insight International (UK) Ltd
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Role: AI Program Manager (30LPA, AI Implementation and Banking experience)

Location: Bengaluru/ Chennai/ Hyderabad/ Pune/ Gurugram/ Mumbai (Hybrid)

Job Type: Permanent

Skills and Experience

  • 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.
  • 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.

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.

Skills

  • microsoft-azure
  • guardrails
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