We are seeking a visionary data leader to champion the Core Analytics Team (CAT), tasked with organising and modeling GDM’s data to guide operations and strategy.
What you'll do
As the Senior Manager, Business Data & Analytics, you will lead, mentor, and inspire a high-performing team of data scientists and analysts. Foster a culture of psychological safety, high agency, and continuous improvement.
- Lead, mentor, and inspire a high-performing team of data scientists and analysts. Foster a culture of psychological safety, high agency, and continuous improvement
- Serve as a trusted advisor to GDM senior leadership. Proactively identify critical business questions and shape the team’s direction to meet those needs – acting as a first point of contact for the organisation’s most nebulous data challenges
- Manage performance and career growth, creating clear pathways for individuals to meet their personal and professional goals, while evolving & expanding skillsets to meet GDM’s organisational needs
What you need
- Experience: Extensive technical background (e.g. Data Engineering, Analytics, or Data Science), including significant experience leading high-performing teams through technical transformations
- Strategic Acumen: Proven track record of using data to influence executive-level strategy
- Technical Vision: You understand the modern data & AI stack. You have likely built or managed RAG pipelines, worked with Knowledge Graphs, or led transitions from BI to AI-ready data architectures – and have a strong vision to help the team deliver it
- The “Translator”: You excel at bridging the gap, using your communication skills to align stakeholders from varied backgrounds around a common technical and product vision
- Governance & Empathy: Experience establishing governance in complex environments. You understand that “clean data” is a people problem as much as a technical one, and have demonstrated experience in orchestrating organisational efforts to maintain data quality and integrity
- AI Fluency: Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI’s responsible use, risks, and limitations. Ability to leverage and promote AI for team and organisational productivity
