Overview

Difinity Digital is a Data and AI consulting firm delivering solutions across artificial intelligence, data and analytics, and digital engineering for clients in the UAE and Europe, alongside a portfolio of proprietary products.

Responsibilities

• Define the technical strategy for the engineering function across AI, data and analytics, and product engineering.
• Establish the technology roadmap, platform standards and architectural principles adopted across the organisation.
• Build and maintain the engineering capability plan, including skill development, team structure and workforce planning.
• Manage relationships with technology partners and platform vendors and evaluate new tooling and platforms for adoption.
• Own engineering budgets, tooling investment and infrastructure cost governance.
• Hold accountability for technical delivery across all client engagements and internal product development.
• Establish delivery methodology, engineering standards, quality gates and release governance.
• Oversee resource allocation, utilisation and capacity planning across concurrent engagements.
• Monitor delivery health, manage technical and schedule risk, and own resolution of technical escalations.
• Report engineering performance, risk and capacity to the Director.
• Own solution architecture and data architecture standards across the organisation.
• Approve the technical approach, feasibility position and effort estimation for new engagements.
• Contribute directly to architecture design for complex, high-risk or strategically significant engagements.
• Review and approve the technical content of client proposals and statements of work.
• Define and enforce code review, design review and security review standards.
• Maintain final approval authority on architecture decisions and technical debt trade-offs.
• Drive the development of reusable frameworks, accelerators and reference implementations.
• Lead, structure and scale the engineering organisation across all technical disciplines.
• Own technical hiring, including role definition, assessment frameworks and interview panels.
• Establish performance management, career progression paths and technical competency frameworks.
• Mentor senior engineers and develop the next layer of technical leadership.
• Ensure all solutions are deployed securely with appropriate access controls, data privacy measures and regulatory compliance.
• Define governance for AI systems including model evaluation, guardrails, monitoring, failure handling and cost control.
• Own production readiness criteria and post-deployment support standards.
• Represent the engineering function in client engagements requiring senior technical authority, including solution workshops, architecture presentations and escalation management.
• Support pre-sales through technical validation, solution design and credibility in client-facing technical discussions.
• Skills and Experience
• Proven ownership of engineering delivery for a team or function, with accountability for architecture and quality outcomes.
• Track record of taking production systems from requirement through to live deployment and ongoing support.
• Strong, demonstrable expertise in at least one of the following areas: artificial intelligence, data and analytics, or product engineering.

Qualifications

• Delivery experience in a consulting, professional services or client-facing product environment.
• Ability to present and defend technical positions to executive, client and engineering audiences.
• Commercial understanding of utilisation, margin and estimation discipline in a services business is desirable.
• Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline. Postgraduate qualification desirable.