Overview
Lead the delivery of data, analytics and operational resilience across Colleague Services and Operations Risk & Resilience, acting as a trusted advisor to senior stakeholders and leading a high-performing team.
What you'll do
- Act as a trusted advisor to senior stakeholders (Director/MD/COO level) across Colleague Services and Operations functions
- Translate complex business challenges into clear data, reporting and resilience strategies
- Lead governance forums, drive decision-making and influence operating models
- Build strong cross-functional partnerships with Data Engineering, Product, Operations and Risk
- Lead the design and execution of end-to-end data pipelines (ELT) into CDC / Data Warehouse environments
- Ensure high-quality, scalable and governed datasets aligned with enterprise data standards
- Work hands-on with technologies such as Snowflake, SQL, Python, Azure and cloud-based data platforms
- Drive data quality, lineage, reconciliation and automation practices
- Partner with engineering teams to optimise performance, reliability and cost
- Define and embed risk and resilience frameworks across operations
- Identify key operational risks and build data-led monitoring mechanisms
- Ensure visibility of incidents, control gaps and recovery capabilities
- Support business continuity and resilience maturity improvement
- Drive a culture of proactive risk management using analytics and insights
- Lead analytics and reporting for Colleague Services (HR, workforce, service operations)
- Deliver actionable insights across workforce performance, service efficiency and experience metrics
- Standardise KPI frameworks, reporting definitions and operational dashboards
- Drive transformation initiatives to improve customer experience and operational efficiency
- Lead, mentor and develop a team of managers, analysts and data engineers
- Establish clear goals, performance frameworks (WHAT & HOW) and development plans
- Foster a culture of accountability, innovation and continuous improvement
- Coach the team on advanced analytics, stakeholder engagement and problem solving
- Ensure delivery of accurate, timely and business-critical reporting
- Translate data into compelling narratives for executive audiences (ExCo-level)
- Drive adoption of data products and self-service analytics capabilities
- Embed continuous improvement through automation and AI-driven insights
What you'll need
- 12+ years of experience in Data, Analytics, Operations or Data Engineering roles
- Proven experience working with senior stakeholders and influencing decision-making
- Strong exposure to Operations, Risk or Service environments
- Experience building or managing enterprise data platforms / data warehouses
- Must possess at least a Bachelor's/College Degree, any field
- Strong hands-on expertise in SQL, Snowflake and Python
- Experience with ELT/ETL frameworks and data pipeline design
- Experience with cloud platforms
- Experience in data modelling, warehousing and optimisation
- Understanding of data governance, data quality and lineage frameworks
- Strong leadership presence with ability to operate at Director/MD level
- Excellent communication and storytelling skills
- Proven ability to build and scale high-performing teams
- Strategic thinking with strong execution focus
- Comfortable operating in ambiguous, fast-paced environments
Details
- Hybrid working: 3 days working from the office
- Must be prepared to work UK/US hours as and when required
Read the full description and apply on the company’s own careers page.