METRICS OFFICE – ENTERPRISE REPORTING & DATA STEWARDSHIP – SENIOR SPECIALIST, Reporting & Data Stewardship

Colleague Services & Operations Risk & Resilience

We are seeking a highly motivated Senior Specialist, Reporting & Data Stewardship to support the delivery of enterprise reporting, analytics, data governance, and data stewardship across Colleague Services and Operations Risk & Resilience.

This role will act as a key partner to business stakeholders, data engineering teams, and technology partners to ensure trusted, scalable, and actionable data is available for decision-making. The successful candidate will be responsible for managing reporting requirements, developing dashboards and analytics solutions, driving automation opportunities, and ensuring robust data pipelines and data quality standards are maintained within the enterprise data warehouse ecosystem.

The role requires a strong blend of business engagement, technical expertise, data stewardship, and analytical problem-solving, with a focus on building sustainable reporting solutions and enabling data-driven decision-making.

Act as a trusted reporting and analytics partner for senior stakeholders across Colleague Services and Operations Risk & Resilience.

Translate business requirements into scalable data, reporting, and dashboard solutions.

Design, develop, and maintain enterprise reporting solutions, scorecards, and Power BI dashboards.

Convert complex datasets into meaningful business insights and executive-level narratives.

Data Stewardship & Governance

Act as the Data Steward for assigned domains, ensuring data quality, integrity, lineage, and governance standards are maintained.

Identify gaps in source system data, business processes, and reporting capabilities.

Partner with Engineering and Technology teams to onboard current datasets into Snowflake and enterprise data platforms.

Define data quality controls, validation checks, and reconciliation processes.

Support the establishment of authoritative data sources and governed metric definitions.

Ensure compliance with enterprise data governance policies and standards.

Data Engineering & Warehouse Enablement





Collaborate closely with Engineering teams to support the design and enhancement of ELT pipelines into CDC and enterprise data warehouse platforms.

Ensure data pipelines are robust, scalable, and aligned to business requirements.

Support root-cause analysis of data issues and drive timely resolution.

Validate source-to-target mappings and data transformations.

Monitor data freshness, completeness, and reliability across reporting assets.

Contribute to continuous improvement of enterprise data architecture.

Identify opportunities to automate manual reporting and operational processes.

Leverage AI and advanced analytics techniques to improve efficiency, insight generation, and reporting effectiveness.

Support implementation of predictive and forward-looking analytics where appropriate.

Drive efficiency improvements through reusable reporting frameworks and automated data pipelines.

Required Skills & Experience

Advanced SQL and Snowflake expertise.

Strong Power BI development and data modelling experience.

Experience working with enterprise data warehouses and cloud-based data platforms.

Strong understanding of ELT/ETL concepts and data pipeline architecture.

Experience with Python, automation frameworks, and analytics tooling.

Understanding of data quality, lineage, metadata, and governance principles.

Strong experience managing and influencing senior stakeholders.

Excellent requirements gathering and business analysis skills.

Experience within Colleague Services, Shared Services, Operations, Risk, or Resilience domains.

Knowledge of AI, Copilot, machine learning, or predictive analytics solutions.

Exposure to Agile delivery methodologies.

Experience working within global organisations and matrix environments.

Knowledge of data governance and stewardship frameworks.

Data modelling and dimensional modelling experience.





Must possess at least a Bachelor's/College Degree, relevant field

Relevant certifications in Snowflake, Power BI, Data Analytics, or Cloud Technologies are advantageous.

Hybrid working model.

Join us and be part of a team that values innovation, quality, and continuous improvement. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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