Data & Analytics Lead Manager

The Data & Analytics Lead will drive the development and execution of the firmsinternaldata & analytics strategy within the Chief Data Office enabling trusted scalable and businessaligned use of data to deliver insights reporting and advanced analytics outcomes. This roleis responsible forleading thein-houseData & Analytics pillarestablishingframeworks standards and delivery capabilities that support highquality governed data consumption across theorganisation.

They will be accountable for translating the firms data strategy into actionable analytics use cases delivering insights that supportdecision-makingdefining the standards for internal reporting and analyticsoperational efficiency and innovation including AIdriven 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 deliveryroadmap 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 andprioritisation.

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.

• Identifyrequired 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 toidentifyuse cases and translate requirements into reporting and analytics solutions.

• Partner with business teams toidentifyuse cases.

• Translate business requirements intoreporting and analyticssolutions.

• Drivethe adoptionof self-service analytics.

Data products & insights enablement

• Define and manage analytics data productswith 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

• Alignondataquality 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

• Ensurefuture-proof designperformanceand 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 solutionsand leading teams

• Understanding of data governanceand data management

Technical Skills

• Strong data analysis skill usingSQLandExcel

• Experience ofPower BIdevelopment SAC experience desirable

• Familiarity with cloud platforms Databricksand data mesh concepts

• Awareness of AI/ML concepts

Personal Qualities

• Excellent communication skills both verbal and written with storytelling

• Excellent stakeholder management and communication skills

• Ability to translate business and functional requirements to technical requirements

• Ability to handle multi-tasking environment meet deadlines and work with a wide rangestakeholders

• Ability to develop business relationships internally and externally

• Proactive work approach and ability todemonstrategood judgement

• Demonstrates enthusiasm & commitment to work