Artificial Intelligence (AI) Business Partner – Shared Services

Job Description WSP Middle East are seeking an experienced AI Business Partner – Shared Services to lead the strategic transformation of core operational functions through the application of AI, automation, and advanced analytics.

This is a senior, delivery-focused role responsible for identifying, prioritising, and implementing AI-driven solutions across Shared Services—including Finance, HR, Procurement, IT, and Legal. The role operates at a regional level, while aligning with global strategies, platforms, and standards to ensure consistency and scalability across WSP.

In parallel, the role will lead the AI capability and learning agenda across the organisation, ensuring that teams across all functions are equipped to adopt and apply AI effectively in their day-to-day work.

This position requires a hands-on leader with strong finance transformation experience, combined with the ability to operate across multiple functions and drive outcomes at scale.

Responsibilities Strategic Partnership & Transformation Leadership

• Partner with Shared Services and business unit leadership to define and deliver a clear AI-enabled transformation roadmap.
• Translate operational and functional challenges into structured, high-impact AI use cases aligned to business priorities.
• Build and manage a pipeline of initiatives from identification through to deployment and scale.
• Ensure regional solutions are aligned with global platforms, governance, and technology standards.
• Represent Shared Services within enterprise AI governance and transformation forums.

Finance Transformation & Intelligent Operations

• Lead the application of AI across core Finance processes
• Drive improvements through AI-led automation, predictive analytics, anomaly detection, and intelligent workflows.
• Enable a transition towards forward-looking, insight-driven finance operations, reducing dependency on manual processes.
• Ensure all initiatives are aligned with audit, compliance, and internal control requirements.
• Embed value tracking and performance discipline across all Finance-focused initiatives.

AI Capability & Learning Enablement

• Lead the development and rollout of AI capability programmes across WSP Middle East, delivered through Shared Services and applied across all business units.
• Develop role-based learning pathways that move beyond awareness into practical application and adoption.
• Create toolkits, guidance, and enablement frameworks that embed AI into everyday workflows.
• Establish communities of practice and champion networks to drive sustained capability growth.
• Integrate AI learning into onboarding, development, and performance frameworks.
• Track adoption, capability uplift, and business impact, continuously refining the approach.

AI Delivery & Implementation

• Lead end-to-end delivery of AI initiatives—from business case through to deployment and value realisation.
• Drive adoption of Generative AI, RPA, process mining, intelligent document processing, and advanced analytics across Shared Services
• Ensure solutions are scalable, secure, and aligned with enterprise architecture and data standards.
• Coordinate delivery across multi-country, matrixed environments, balancing local needs with global alignment.

Change Management & Adoption

• Ensure strong adoption of AI solutions through structured change and engagement approaches.
• Lead communication strategies, stakeholder alignment, and behavioural change initiatives.
• Build organisational confidence in AI as a practical enabler of day-to-day work.

Governance, Risk & Performance

• Establish governance aligned with Finance, Audit, and Shared Services requirements.
• Ensure compliance with data privacy, regulatory, and intellectual property standards.
• Define and track KPIs, benefits realisation, and programme performance.
• Deliver clear, executive-level reporting on outcomes and progress.

Qualifications

• Minimum 12 years’ experience in business or finance transformation, with clear delivery accountability.
• Strong track record in Finance transformation, including implementation of AI, automation, or data-driven solutions.
• Degree in Finance, Accounting, Business, or related discipline; professional qualification (CPA, ACCA, CIMA, CFA) preferred.
• Deep understanding of Finance operations, controls, and performance management.
• Experience working within Shared Services, GBS, or similar operati…