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Client Partner

About the role

• Build and nurture high-value client relationships
• Ensure successful delivery of AI data projects
• Act as a trusted advisor connecting client objectives to project execution
• Coordinate internal teams to deliver strong outcomes
• Grow client accounts by identifying new opportunities
• Expand project portfolios and ensure engagements are delivered profitably
• Serve as the primary point of contact for key client stakeholders
• Define project approaches, deliverables, staffing needs, pricing considerations, and success criteria with internal teams
• Manage scope, timelines, budgets, risks, and changes throughout the project lifecycle
• Identify opportunities to expand services and renew engagements with Sales and Marketing
• Lead performance and post-project reviews
• Evaluate business impact and strengthen future engagements
• Contribute to client retention, NPS, and sustainable revenue growth

• Experience managing client relationships and projects in a professional AI, LLM, data, or related technology solutions environment
• Relevant degree or equivalent professional experience (minimum 2+ years)
• Experience managing project scope, budgets, timelines, deliverables, and stakeholder expectations
• Comfort engaging with technical concepts in AI and data
• Proactive about staying current on industry trends
• Strong commercial and analytical skills
• Excellent written and verbal communication skills
• Ability to influence stakeholders and communicate complex information clearly
• Ability to adapt to changing priorities and evolving client needs
• Experience in project management, account growth, or strategic consulting
• Comfort working with revenue/margin data and forecasting tools, such as Excel and pipeline systems
• Willingness to adjust working hours to maintain meaningful overlap with clients and colleagues across regions

• Permanent - Regular Full-time
• Flexible working arrangements
• Tools, resources, and development opportunities to build capability over time
• Opportunity to work on complex AI challenges across industries and geographies
• Collaborative culture focused on innovation, accountability, and excellence