Job Summary

• Own the integrated delivery plan from discovery and architecture through AI, data, web, integration, platform, testing, release, and stabilization.
• Convert approved scope, business priorities, architecture decisions, and acceptance criteria into phased plans, sprint outcomes, dependency maps, and measurable milestones.
• Coordinate Product, Business Analysis, Architecture, AI, Data, Web/UI, Integration, DevOps, Testing, Security, Risk, vendors, and client stakeholders.
• Run delivery governance through RAID, decision and action tracking, quality gates, change control, status reporting, steering reviews, and timely escalation.
• Secure readiness for environments, access, data, connectivity, architecture, security, AI and data governance, model and technology risk, testing, and release approvals.
• Facilitate architecture and design reviews; ensure decisions, assumptions, constraints, integration boundaries, and non-functional requirements are documented, owned, and translated into delivery actions.
• Challenge estimates and sequencing using practical knowledge of AI, cloud, web, data, integration, and DevOps dependencies.
• Ensure AI delivery addresses grounding, confidence, guardrails, evaluation, traceability, audit evidence, human oversight, privacy, security, and operational monitoring.
• Ensure web delivery covers user journeys, role-based access, API contracts, accessibility, performance, resilience, observability, and supportability.
• Govern Agile execution, scope, schedule, capacity, cost, quality, acceptance, vendor commitments, and recovery actions across all workstreams.
• Communicate decisions, trade-offs, risks, progress, and required actions clearly to senior business, technology, and client stakeholders.
• Lead UAT readiness, production-readiness reviews, deployment, hypercare, knowledge transfer, transition to operations, and formal impact assessment for scope changes.

Key Skills

• Proven leadership of complex, cross-functional technology programs using Agile/Scrum, SDLC, release, quality, and production-readiness practices.
• High-level understanding of enterprise AI and agentic AI architecture, including LLMs, RAG, agent orchestration, knowledge stores, tools, memory, guardrails, evaluation, auditability, observability, and human controls.
• Strong experience delivering cloud-based enterprise web applications, including React or Angular, backend services, APIs, microservices, databases, messaging, identity, security, and deployment patterns.
• Working knowledge of Azure, AWS, or GCP; containers and orchestration; CI/CD; infrastructure as code; logging, monitoring, secrets, access control, resilience, and environment topology.
• Ability to interpret architecture diagrams, data and API flows, integration contracts, non-functional requirements, and operational support models and convert them into executable delivery actions.
• Advanced planning, estimation, dependency, RAID, change, capacity, financial, vendor, quality, and acceptance management.
• Strong governance orientation across security, privacy, data, AI, model, technology, operational, regulatory, and audit controls.
• Excellent executive, client, and engineering communication, negotiation, decision facilitation, and conflict resolution.
• Banking, capital markets, Corporate Actions, SWIFT, or regulated-platform experience is desirable.

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field; PMP, PgMP, SAFe, Scrum, cloud, or AI certification preferred.

Key Responsibilities

• Own the integrated delivery plan from discovery and architecture through AI, data, web, integration, platform, testing, release, and stabilization.
• Convert approved scope, business priorities, architecture decisions, and acceptance criteria into phased plans, sprint outcomes, dependency maps, and measurable milestones.
• Coordinate Product, Business Analysis, Architecture, AI, Data, Web/UI, Integration, DevOps, Testing, Security, Risk, vendors, and client stakeholders.
• Run delivery governance through RAID, decision and action tracking, quality gates, change control, status reporting, steering reviews, and timely escalation.
• Secure readiness for environments, access, data, connectivity, architecture, security, AI and data governance, model and technology risk, testing, and release approvals.
• Facilitate architecture and design reviews; ensure decisions, assumptions, constraints, integration boundaries, and non-functional requirements are documented, owned, and translated into delivery actions.
• Challenge estimates and sequencing using practical knowledge of AI, cloud, web, data, integration, and DevOps dependencies.
• Ensure AI delivery addresses grounding, confidence, guardrails, evaluation, traceability, audit evidence, human oversight, privacy, security, and operational monitoring.
• Ensure web delivery covers user journeys, role-based access, API contracts, accessibility, performance, resilience, observability, and supportability.
• Govern Agile execution, scope, schedule, capacity, cost, quality, acceptance, vendor commitments, and recovery actions across all workstreams.
• Communicate decisions, trade-offs, risks, progress, and required actions clearly to senior business, technology, and client stakeholders.
• Lead UAT readiness, production-readiness reviews, deployment, hypercare, knowledge transfer, transition to operations, and formal impact assessment for scope changes.

Skill Requirements

Other Requirements