Tooling, MI & Reporting Manager | S3 | Chief Information & Resilience Office
Listed on 2026-06-03
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IT/Tech
Data Analyst, Data Engineer
Overview
IT STARTS HERE
Santander () is evolving from a global, high-impact brand into a technology-driven organisation, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is a chance for driven professionals to grow, learn, and make a real difference. Our mission is to help more people and businesses prosper.
We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
Santander Digital Services is the team of technology and operations develop and/or implement financial solutions across a broad spectrum of technologies on all kinds of on-premise and cloud-based platforms.
THE DIFFERENCE YOU MAKE
Santander UK is looking for a Tooling, MI & Reporting Manager based out of Unity Place, Milton Keynes or Glasgow
.
The purpose of the role is to oversee the entire lifecycle of data within the organisation from acquisition and storage to analysis and dissemination. Responsible for ensuring that data assets are managed effectively, securely and in compliance with regulations and organisational policies. We’re shaping the way we work through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas. To succeed in this role, you will be responsible for:
Responsibilities- Designing and evolving tooling solutions and data platforms to support Operational Resilience strategy and decision-making.
- Developing and maintaining IBS resilience dashboards and visualisations, ensuring clear, actionable insights for stakeholders.
- Building and delivering Pillar-level resilience metrics (KRIs) with strong data definitions, controls, and governance.
- Designing and implementing data pipelines for ingestion and integration of vulnerability data from multiple sources (e.g. VM tooling).
- Establishing data models, structures, and reporting frameworks to ensure consistency, scalability, and traceability.
- Implementing data quality controls and validation processes to ensure accuracy, completeness, and reliability of MI outputs.
- Enabling data-driven insights and advanced analytics to support resilience, risk identification, and strategic decision-making.
- Collaborating with stakeholders to translate business requirements into technical data and reporting solutions.
Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organisation. We’re enabling teams to go beyond by valuing who they are and empowering what they bring.
The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Professional Experience- Experience designing and delivering data platforms, reporting solutions, or MI dashboards (Required).
- Strong experience in data engineering, data modelling, or analytics within complex environments (Required).
- Experience working with operational resilience, risk, or regulatory reporting data (Required).
- Experience delivering end-to-end data solutions (ingestion, transformation, visualisation) (Preferred).
- Undergraduate degree in Data, Computer Science, Information Systems, Engineering, or related field (Preferred).
- Professional certifications in Data Engineering, Analytics, or Governance frameworks (Preferred).
- English
- Strong knowledge of data engineering concepts (ETL/ELT, data pipelines, data integration) (Required).
- Experience with data visualisation and dashboard tools (e.g. Power BI, Tableau, or similar) (Required).
- Expertise in data modelling, data structures, and information architecture (Required).
- Strong understanding of data quality frameworks, controls, and validation techniques (Required).
- Experience with metrics design (KRIs/KPIs) and data-driven reporting frameworks (Required).
- Knowledge of data governance and regulatory requirements (e.g. GDPR) (Preferred).
- Strong analytical and…
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