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, including
mentoring and coaching
performance and development conversations
Maintain visibility of team workload, availability and delivery risks
Support onboarding and capability uplift across different experience levels
Coordination and operations
Coordinate tasks, priorities and workflow across projects
Ensure consistency in
QA and review processes
delivery practices
team standards and tools
Proactively identify and escalate delivery or resourcing constraints
Client and business development
Engage with project teams to shape solutions and delivery approaches
Support proposals and technical inputs where required
Contribute to building strong client relationships and repeat work
Engagement with leadership
The Data Science Capability Lead will actively support and engage with Data Science leadership by:
Providing regular visibility of team performance, including
utilisation
delivery progress
emerging risks and issues
Escalating delivery, resourcing or performance risks early, with clear context and recommended actions
Contributing to resource planning and workforce decisions, including
identifying gaps in capability
supporting hiring priorities
providing input into team structure
allocating staff to bids and projects.
staying across upcoming pipeline of work.
Supporting performance management discussions, including
identifying high performers and development opportunities
flagging underperformance early
Contributing to ways of working and standards development, ensuring
consistency across teams
feedback loops from delivery into process improvement
Providing input into pipeline and work winning activities, including
identifying opportunities within current delivery
supporting solution shaping and resourcing assumptions
Participating in regular leadership forums and cadence activities, contributing to:
alignment across Capability Leads
consistent decision-making and communication
Foster strong collaboration between Australian and GCC teams, ensuring knowledge sharing, consistency of delivery and integration into project teams.
Act as the primary interface between Australian project teams and GCC Data Science staff, ensuring clear communication, alignment of expectations and effective integration into delivery teams.
Ensure all work allocated to GCC staff is appropriately scoped, documented and understood, with clear acceptance criteria and delivery expectations.
Drive the growth and maturity of the Data Science capability.
Develop technical standards, methodologies and reusable assets.
Identify emerging technologies and opportunities for innovation.
Support workforce planning, recruitment and succession planning.
Build capability through training, mentoring and communities of practice.
Represent Data Science in cross-business initiatives and strategic pursuits.
Support achievement of capability utilisation, revenue and growth targets.
What we’re looking for
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
A 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
Experience and capability
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.
Success in role (first 6–12 months)
Effective leadership of a defined team group
Improved delivery coordination and workload visibility
Uplift in quality, consistency and mentoring across the team
Positive feedback from staff and project stakeholders
Contribution to pipeline and ongoing work opportunities
Key principles
Strong focus on delivery quality and operational outcomes
Mentorship and capability building embedded in daily work
Collaboration across disciplines and projects
Clear accountability for team performance and outcomes.
BGV
Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.
Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner
