Data Science lead - GCC

WSP Digital is seeking a Data Science GCC Lead to support the growth of their data science and analytics team. As a Data Science GCC Lead, you will provide leadership, development, utilisation, and delivery performance of GCC Data Science staff supporting Australian and New Zealand projects.

Responsibilities:

• Provide day-to-day leadership and oversight for a defined group of staff based in GCC
• Assist in coordinating work allocation, priorities, and utilisation across the team
• Lead and coordinate scope and delivery of GCC work with Project Managers
• Support mentoring, development, and performance management
• Ensure consistent delivery standards, QA, and ways of working
• Act as a key escalation point for delivery risks and issues
• Support work winning and client engagement where required
• Ensure all staff within GCC team meet delivery, standards, and quality expectations
• Provide guidance to all staff and be across scope and expectations of all work packages
• Responsible for hiring and growth in GCC team

Key Responsibilities:

• Team leadership: Line management, mentoring, coaching, performance and development conversations
• Coordination and operations: Coordinate tasks, priorities, and workflow across projects
• Client and business development: Engage with project teams to shape solutions and delivery approaches
• Engagement with leadership: Provide regular visibility of team performance, escalate delivery, resourcing or performance risks early

Requirements:

• Strong understanding in data science, analytics, or related field
• Experience leading end-to-end delivery of projects
• Ability to define approach, scope, and delivery strategy
• Collaborative and supportive leadership approach
• Ability to manage competing priorities and delivery pressures
• Confidence working with stakeholders across technical and non-technical domains
• Sound judgement in escalation versus resolution of issues

Qualifications:

• Typically 6+ years experience in data science, analytics, or engineering
• Understanding of statistical modelling, machine learning, data analysis, and processing
• Practical experience delivering projects
• Knowledge of modern data platforms and environments
• Experience in management and leadership
• Infrastructure and engineering background preferred but not required