Platform Delivery Lead / Release Train Manager

Dicetek LLC

Abu Dhabi

On-site

AED 200,000 - 300,000

Full time

14 days+

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Job summary

Dicetek LLC seeks a highly technical AI Delivery Lead in Abu Dhabi to manage end-to-end delivery of cloud-native AI solutions, ensuring high-security standards for the banking industry. You will translate product vision into actionable roadmaps and lead governance for delivery programs.

The ideal candidate will have a minimum of 5 years in financial services, a track record in cloud-based applications, and strong operational experience with SOC/NOC environments.

Qualifications

  • Minimum 5+ years in the financial services sector, deep understanding of banking tech security.
  • Proven track record of leading complex delivery programs for cloud-based applications.
  • Direct experience with SOC/NOC workflows preferred.
  • Solid understanding of Azure or AWS cloud-native architecture.
  • Exceptional ability to explain complex technical trade-offs to business partners.
  • Experience leading teams through adopting AI-driven workflows.

Responsibilities

  • Facilitate discovery sessions with Business and Product teams.
  • Devise and manage multi-quarter roadmaps, establish clear communication.
  • Ensure AI deployments are 'production-ready'.
  • Navigate regulatory compliance and data privacy challenges.
  • Oversee the delivery of AI-powered features.
  • Act as primary point of contact for executive leadership.

Skills

Banking Experience
Delivery Leadership
Operations Background
Cloud Fluency
Communication
Change Management

Job description

AI Delivery Lead
Role Overview

We are seeking a highly technical AI Delivery Lead to bridge the gap between ambitious business goals and engineering execution. You will be responsible for the end-to-end delivery of cloud-native AI solutions (Web/Mobile), ensuring they meet the high-security standards of the banking industry while maintaining an agile pace. You are not primarily a project manager; you are a technical translator who can turn a product vision into a scalable, secure, and actionable roadmap.

Key Responsibilities
  • Requirement Translation: Facilitate discovery sessions with Business and Product teams to extract core objectives and decompose them into precise technical specifications, user stories, and architectural requirements for engineering teams.
  • Program Governance: Devise and manage multi-quarter roadmaps, establishing clear RACI matrices and communication cadences to keep stakeholders aligned across the organization.
  • Operational Excellence: Leverage your background in SOC/NOC environments to ensure all AI deployments are "production-ready", focusing on observability, incident response protocols, and security compliance.
  • Banking Integration: Navigate the complexities of financial services, including regulatory compliance, data privacy (PII), and complex stakeholder landscapes.
  • AI Lifecycle Management: Oversee the delivery of AI-powered features, ensuring that model deployment, monitoring, and feedback loops are integrated into the broader application lifecycle.
  • Stakeholder Orchestration: Act as the primary point of contact for executive leadership, managing expectations and providing transparent reporting on delivery risks and milestones.
Technical & Professional Requirements
  • Banking Experience: Minimum 5+ years in the financial services sector, with a deep understanding of the security and compliance rigors associated with banking tech.
  • Delivery Leadership: Proven track record of leading complex delivery programs for cloud-based Web or Mobile applications.
  • Operations Background: Direct experience with SOC (Security Operations Center) or NOC (Network Operations Center) workflows is preferred, ensuring uptime and security are built-in, not bolted-on.
  • Cloud Fluency: Solid understanding of cloud-native architecture (Azure or AWS), specifically how modern applications consume AI services.
  • Communication: Exceptional ability to explain complex technical trade-offs (e.g., latency vs. accuracy in AI) to non-technical business partners.
  • Change Management: Experience leading teams through the cultural shift of adopting AI-driven workflows.
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