Project Manager - AI

Role PurposeLead planning, coordination, and delivery of AI initiatives across the enterprise.Bridge business, technology, data, governance, and delivery teams to ensure successful AI solution execution.Manage full AI use‑case lifecycle from discovery to deployment and benefits realization.Key ResponsibilitiesDefine AI project scope, milestones, timelines, and delivery plans.Translate business priorities into structured AI delivery roadmaps with measurable outcomes.Manage end‑to‑end delivery: discovery, feasibility, design, build, testing, deployment, and post‑implementation review.Coordinate cross‑functional teams (business, product, data science, engineering, architecture, security, risk, compliance).Facilitate workshops, solution walkthroughs, sprint ceremonies, and stakeholder reviews.Drive AI governance, risk assessments, security reviews, privacy checks, and approval processes.Oversee responsible AI testing, model evaluation, guardrail validation, and operational readiness.Manage vendors, partners, SOWs, deliverables, and performance.Prepare executive dashboards, steering committee packs, and delivery health reports.Support business readiness, training, adoption, and benefits tracking.Enhance AI delivery playbooks, templates, governance workflows, and assurance practices.Technical & Functional SkillsStrong understanding of AI delivery lifecycle and enterprise AI governance.Knowledge of predictive AI, generative AI, agentic AI, RAG, model lifecycle, pipelines, guardrails, LLMOps/MLOps.Ability to translate business requirements into user stories, functional specs, acceptance criteria, and test plans.Strong project management skills: planning, RAID, dependencies, change control, reporting.Familiarity with cloud, data, integration, APIs, security, DevOps, CI/CD, observability.Experience in regulated environments (preferably banking) with risk, compliance, and audit readiness.QualificationsBachelor’s degree in CS, IT, Engineering, Business, Data Science, or related fields.Preferred: Master’s degree + certifications (PMP, PRINCE2, Agile/Scrum/SAFe, AI/ML, cloud, data, risk, governance).Experience8–12+ years in project management, technology delivery, digital transformation, data, or AI initiatives.4+ years managing AI, analytics, automation, or data projects in complex enterprises.Experience coordinating multi‑disciplinary teams and working in regulated environments.