Team Lead - Data & Digital Advisory

Team Leadership Development:

• Lead, mentor, and motivate a diverse team of professionals in Geospatial Analytics, GIS, and Data Engineering.
• Foster a collaborative and high-performance work environment, focusing on both individual growth and team success.
• Conduct regular performance reviews, provide feedback, and identify training opportunities to support career development.
• Have demonstrable line management capability
• Be willing to undertake periodic visits to the UK

Project Management Delivery:

• Oversee the planning and execution of projects focused on Geospatial Analytics and Data Engineering.
• Collaborate with cross-functional teams to define project requirements, objectives, and deliverables, ensuring they align with business goals.
• Ensure timely delivery of high-quality results, optimizing team workflows and processes where needed, within times and budgets agreed with the UK, minimum 40% project delivery.
• Have a financial understanding of project delivery

Geospatial Analytics Technical Leadership:

• Provide technical guidance in Geospatial Analytics, including spatial data modeling, analysis, and visualization.
• Lead the integration of geospatial data with engineering workflows to extract insights and improve decision-making.
• Serve as the subject matter expert in either Geospatial Analytics, GIS, or Data Engineering, with a working knowledge of the others.
• Lead the design, development, and implementation of GIS solutions using tools such as ArcGIS, OpenLayers, and other geospatial analytics platforms.
• Oversee data engineering efforts, including data pipeline development, ETL processes, and data integration from multiple sources into Azure-based cloud environments.
• Develop and optimize spatial data models to support real-time analytics and geospatial visualizations.
• Design, implement, and maintain data architecture for geospatial datasets, ensuring high performance, scalability, and security.
• Implement machine learning and geospatial data analysis techniques to provide advanced insights, patterns, and predictions.
• Support the team in solving complex geospatial and data engineering challenges, ensuring the use of best practices.
• Communicate complex technical concepts to non-technical stakeholders to promote GIS-driven insights in business decision-making.

Stakeholder Engagement:

• Act as the primary point of contact between the UK team and the iCRC, translating complex geospatial and data insights into actionable recommendations.
• Present project updates, analytical findings, and reports to senior leadership, clients, or other stakeholders.
• Ensure alignment of team objectives with broader organizational goals and key business metrics.

Key Competencies / Skills

Mandatory skills

Technical Skills:

• Deep expertise in Geospatial Analytics, GIS, or Data Engineering, with working knowledge of the other areas.
• Proficiency in geospatial analysis tools such as ArcGIS, QGIS, Open layers and programming languages like Python or R for spatial data manipulation.
• Strong expertise in Azure cloud services, including Azure Data Lake, Azure Synapse, Azure Databricks, and Azure Data Factory.
• Proficiency in data engineering languages such as SQL and Python.
• Familiarity with data pipelines, cloud computing platforms (AWS, Azure), and databases such as SQL Server.
• Experience with geospatial data visualization, modelling, and machine learning techniques is a plus.
• Knowledge of AI/ML applications in geospatial analytics.
• Familiarity with Agile methodologies and DevOps practices.

Leadership Soft Skills:

• Proven ability to lead and develop multidisciplinary teams through collaboration and Teamwork.
• Strong communication skills, particularly in translating technical geospatial concepts into business-oriented insights with report writing expertise
• Excellent problem-solving and decision-making abilities.
• Strong organizational and project management skills, with attention to detail.

Qualifications

• Bachelor s or Master s degree in Geospatial Analytics, GIS, Data Science, Computer Science, or a related field.
• 15 + years of experience in a technical role, with a strong focus on geospatial data and analytics, GIS, or Data Engineering.
• Proven experience managing or leading technical teams, especially in geospatial or data-focused projects.
• Have the enthusiasm and energy to drive our growth strategy forward over the next 5 years in conjunction with our Head of PPA.