Program Specialist jobs in United Arab Emirates

The Program Manager Enterprise Solutions AI Enablement is accountable for activating, scaling, and operationalizing AI capabilities natively embedded within enterprise platforms (ERP, CRM, HCM, EPM, Property, FM, Education systems).
This role does not build bespoke or ad-hoc AI solutions.
Its mandate is to extract maximum value from AI features delivered out-of-the-box or near-native by enterprise software vendors, and embed them into standard business processes across the Group.
The focus is speed to value, operational adoption, and measurable impact, not experimentation.

• ERP / EPM / HCM platforms
• CRM and customer platforms
• Enterprise content and workflow platforms

1. Embedded AI Capability Ownership
   • Identify, catalogue, and maintain a Group-wide view of AI capabilities embedded within enterprise platforms, including:
   • Native AI features
   • Configurable intelligent automation
   • Vendor-delivered roadmap capabilities
   • Clearly distinguish between:
   • Embedded / native AI (in scope)
   • Custom-built or experimental AI (out of scope)
   • Act as the single point of accountability for embedded AI enablement across enterprise solutions.
2. Business Use Case Enablement (Embedded Only)
   • Partner with business and solution owners to identify use cases that can be delivered using existing platform AI capabilities.
   • Translate platform features into process-level improvements (e.g. forecasting, recommendations, classification, anomaly detection, copilots).
   • Prioritize use cases based on:
     • Business value
     • Platform readiness
     • Change impact
     • Implementation effort
3. Program Delivery & Operationalization
   • Lead the end-to-end enablement program for embedded AI features, including:
   • Feature activation and configuration
   • Integration with upstream/downstream systems
   • Process redesign where required
   • Testing, rollout, and stabilization
   • Ensure AI features are operationally embedded, not standalone:
   • Incorporated into standard workflows
   • Reflected in SOPs and controls
   • Supported by training and change management
4. Adoption, Governance & Value Realization
   • Own adoption metrics for embedded AI features across platforms.
   • Track and report realized business value, not just features enabled.
   • Ensure compliance with:
   • Data governance standards
   • Security and privacy requirements
   • Responsible AI and auditability principles
   • Work with risk, compliance, and internal audit as required.
5. Vendor & SI Management
   • Engage proactively with software vendors to:
   • Understand AI roadmaps
   • Validate maturity and readiness of features
   • Challenge inflated AI claims
   • Coordinate system integrators strictly around configuration and enablement, avoiding unnecessary customization.
6. Executive Communication & Decision Support
   • Provide senior leadership with a clear, fact-based view of:
   • Which AI capabilities are live in enterprise platforms
   • Where value is being realized
   • What is planned next and why
   • Frame AI discussions around business outcomes, not technology novelty.

• % of enterprise platforms with embedded AI features enabled and adopted
• Number of embedded AI use cases live vs. identified
• Reduction in manual effort and process cycle time
• Measurable productivity and decision-quality improvements
• Business adoption rates by function
• Reduced demand for bespoke AI development in enterprise domains

• Experience
• 8 12+ years in program or large-scale project management
• Strong background in enterprise applications and platforms
• Demonstrated experience enabling vendor-delivered AI or automation features
• Experience operating in complex, multi-business environments
• Exposure to ERP / CRM / HCM / EPM ecosystems is essential

• Enterprise platform fluency
• Strong business technology translation skills
• Disciplined program execution
• Vendor and SI challenge capability
• Outcome and adoption-driven mindset
• Comfortable operating with senior business stakeholders

• Building custom AI models
• One-off or experimental AI use cases
• Standalone AI products outside enterprise platforms
• Data science or research-led initiatives

Reports to: Head of Technology Transformation Office
Works closely with Data, Platforms, Security, and Business Process Owners

VDart: Digital Consulting & Staffing Solutions

VDart is a leading digital consulting and staffing company founded in 2007 and headquartered in Alpharetta, Georgia. VDart is one of the top staffing companies in USA & also provides technology solutions, supporting businesses in their digital transformation journey. Digital consulting services, Digital consulting agency

Core Services:

• Digital consulting and transformation solutions
• Comprehensive staffing services (contract, temporary, permanent placements)
• Talent management and workforce solutions
• Technology implementation services

Key Industries: VDart primarily serves industries such as automotive and mobility, banking and finance, healthcare and life sciences, and energy and utilities. VDart - Products, Competitors, Financials, Employees, Headquarters Locations

Notable Partnership: VDart Digital has been a consistently strong supplier for Toyota since 2017 Digital Transformation Consulting & Strategy Services | VDart Digital, demonstrating their capability in large-scale digital transformation projects.

With over 17 years of experience, VDart combines staffing expertise with technology solutions to help organizations modernize their operations and build skilled workforce capabilities across multiple sectors.