Manager

 

Description:

The Data & Analytics Lead will drive the development and execution of the firm’s internal data & analytics strategy within the Chief Data Office, enabling trusted, scalable, and business‑aligned use of data to deliver insights, reporting, and advanced analytics outcomes. This role is responsible for leading the in-house Data & Analytics pillar, establishing frameworks, standards, and delivery capabilities that support high‑quality, governed data consumption across the organisation. 


They will be accountable for translating the firm’s data strategy into actionable analytics use cases, delivering insights that support decision-making, defining the standards for internal reporting and analytics, operational efficiency, and innovation including AI driven initiatives. The role works across all Lines of Service and enabling functions to deliver consistent, reusable analytics solutions aligned with enterprise data platforms. 


In addition, this role will shape, build, and lead the Data & Analytics capability within the CDO, defining the team structure, required skill sets, and operating model to support current and future demand. 


Working in partnership with business stakeholders, data domain owners, and technology teams, this role will define and deliver analytics products, dashboards, and data services.



Key responsibilities include:


Data & Analytics Service Leadership

• Define and lead the Data and Analytics pillar strategy, service delivery model, roadmap of analytics initiatives, use cases, data products, and operational priorities in alignment with firm and global data priorities. 

• Develop and manage service delivery, roadmap of analytics initiatives, use cases, and data products. 

• Establish KPIs and success measures to track adoption and value. 

• Partner with Data Domain Owners, Governance, technology architecture teams, and business stakeholders to align analytics priorities, delivery plans, and data product requirements. 

• Lead operational planning and prioritisation. 
   

Team build & capability development

• Lead, coach, and mentor cross-functional analytics teams, including offshore team members, to build capability and delivery confidence. 

• Define and evolve the Data and Analytics team structure, roles, skills, capacity, ways of working, and delivery models needed to meet current and future demand. 

• Identify required roles, skills, and capacity 

• Lead recruitment, onboarding, and development of analytics talent 

• Establish ways of working and delivery models 

• Coach and mentor team members. 
  
  
   

Analytics delivery & use case development

• Lead the design and delivery of analytics products by partnering with business teams to identify use cases and translate requirements into reporting and analytics solutions. 

• Partner with business teams to identify use cases. 

• Translate business requirements into reporting and analytics solutions. 

• Drive the adoption of self-service analytics. 
  
  
   

Data products & insights enablement

• Define and manage analytics data products with a focus on firm and Global data requirements. 

• Ensure consistency and quality of curated datasets. 

• Enable advanced analytics and AI use cases. 

• Promote reuse of analytics assets. 
  
  
   

Governance, quality & risk

• Ensure analytics outputs align with governance and regulation 

• Align on data quality standards aligned with firm and Global requirements 

• Embed data quality controls 

• Define and implement reporting standards 

• Support auditability 
   

Implementation & delivery oversight

• Oversee end-to-end delivery 

• Ensure future-proof design, performance and scalability 

• Drive continuous improvement 
   

Education/Professional Qualifications

Candidates to have minimum a third level qualification in Data and Analytics



Experience Required:

• 6+ years’ experience in data analytics 

• Proven experience delivering analytics solutions and leading teams 

• Understanding of data governance and data management 

Technical Skills

• Strong data analysis skill using SQL and Excel 

• Experience of Power BI development, SAC experience desirable 

• Familiarity with cloud platforms, Databricks and data mesh concepts 

• Awareness of AI/ML concepts