AVP - Head, ProdSys

Role Mission

Lead themodernisation, governance, andoptimisationof StarHubs enterprise productivity ecosystem to enable a high-performing, AI-augmented digital workplace.

Accountabilities

• Own the enterprise productivity systems strategy and roadmap.

• Govern collaboration and workflow platforms for security, interoperability, and adoption.

• Drive AI-enabled productivity innovation across theorganisation.

• Establish and manage enterprise-wide governance and a scalable support model.

• Ensure alignment of people, processes, and technology across all productivity initiatives.

Responsibilities

• Execute the productivitysystemsroadmap aligned to business priorities.

• Govern platform standards, usage policies, integrations, and licensing.

• Lead integration andmodernisationof collaboration platforms for a unified digital experience.

• Drive AI-enabled use cases to enhance workflow automation and knowledge discovery.

• Rationalisetools andoptimisetotal cost of ownership.

• Build and manage a support model aligned with BTS and CASE frameworks.

• Define and track SLAs, KPIs, and operational performance metrics.

• Lead change management, user enablement, training, and adoption initiatives.

• Partner with HR, Communications, Security, IAM, and EUC to ensure compliance and alignment.

• Manage vendor relationships, contracts, and licensing strategy.

• Mentor teams and foster a culture of innovation and continuous improvement.

Areas of Impact

• Enterprise-wide productivity, collaboration, and employee experience.

• Technology investment decisions and platform governance.

• Cross-functional alignment with BTS, HR, Security, IAM, EUC, Communications, and business units.

• Vendor ecosystem performance and tool lifecycleoptimisation.

• Acceleration of digital workplace transformation and AI-enabled ways of working.

Ideal Track Record

• 1215 years in enterprise technology, digital workplace, or productivity platform leadership.

• Proven success managing or transforming large-scale collaboration ecosystems.

• Demonstrated experience implementing AI-enabled productivity capabilities.

• Strong vendor management and enterprise service delivery background.

• Experience driving productivity transformation in complexorganisations.