Description
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