Group Director, Content Infrastructure & Tech Standards

Role Summary

At LSEG, we are reimagining the way in which our customers consume our data and services. The Group Director of Content Infrastructure & Tech Standards is key to the success of this vision. Reporting to the Group Head of Data Content, you will have a core team who are accountable for owning, operating, and transforming our content creation processes and tooling that produces our world‑leading and critical data sets underpinning our product offerings across LSEG. The role will work closely across the established businesses along with a strategic transformation focus working with the Microsoft Partnership and internal stakeholders, leveraging the power of automation and AI for the highest quality data delivery for our customers. The role is ideally suited to someone from a strong engineering background who wants to make an impact in an engineering‑biased operational environment focused on extracting the best value from modern engineering practices to quickly realise value at the highest quality for our customers.

Key Responsibilities

• Lead the end‑to‑end strategy to create a self‑service, straight‑through processing organisation within Content Operations to drive greater agility, scale, data quality while reducing risk.
• Support the modernisation and simplification of Content Ops Database estate through the Microsoft/LSEG partnership with responsibility for ensuring that the data product meets current and future customer and business needs.
• Simplify Content Operations tooling by creating a small number of self‑service reusable enterprise tools that satisfy use cases across Content Ops, for example for sourcing, extraction, quality control and workflow.
• Operational management oversight of central sourcing & extraction operations.
• Ensure data content is properly resourced with appropriate planning for growth, and all the delivery teams are trained in appropriate methodologies and understand their role in the organisation.
• Champion and deliver an agile delivery methodology and a continuous improvement framework to drive efficiency and enable business agility.
• Innovate in partnership with product management and engineering to deliver revenue growth.
• Drive cost reduction of delivery and maintenance through technology and process innovation.
• Implement a governance framework for technology delivery and ensure appropriate reporting and remedial actions are undertaken to keep programmes on track.
• Manage relationships with key suppliers, setting performance standards and managing the resolution of escalated service issues.
• Manage and develop high‑performing and diverse teams, with clear succession plans.
• Deliver technical solutions for large data estates balancing feature development with operational excellence.
• Execute transformation strategy.
• Optimise delivery performance across the teams and businesses.
• Work across internal and external stakeholders and senior executives to ensure transparency and communication against agreed plans.
• Manage risk by identifying, coordinating, and planning resolution of programme and portfolio risks.
• Make sound decisions at a senior management level, using assertiveness and influencing skills to demonstrate business benefits and ensure decisions are fully understood and accepted.
• Lead the data science and AI strategy within data content in partnership with engineering teams.
• Lead the technical standards and developer experience, working with internal stakeholders.

Essential Skills

• Deep technical experience across various technology stacks, passionate about transformation.
• Experience supporting large‑scale transformation at a financial markets firm, influencing technical strategy and successful implementation in a hands‑on capacity.
• Experience applying automation, ML, and data science at scale in a data‑rich environment.
• Excellent communication skills, both written and verbal, and the ability to tailor communication for facilitating discussion and decision making.
• A real self‑starter with the ability to make clear decisions and solve problems, generating solutions and ultimately getting the job done.
• Proactively assess trends and risks to identify problem areas.
• Creativity and innovation: continuously maintain an innovative approach while operating with a set of defined internal and external communication processes.

Qualifications & Experience

• Extensive experience in engineering product research, delivery, data science & ML, coordination and support.
• Experience in generative AI, ideally around document parsing and extraction of semi‑ and unstructured data.
• Experience taking research into a full production environment.
• Strong track record in developer experience, defining, evolving and governing technical standards for cross‑functional teams.
• Extensive experience in Software Development, Business and Technical Analysis, Quality Assurance, and/or Emerging Technology and Governance.
• Degree in a related field or relevant qualification.

Business and Sector Expertise

• Experience working with large data estates and data distribution methods.
• Experience in machine learning, data science, and generative AI focused on data sourcing and extraction.
• Experience working in highly regulated environments (e.g. banking).
• Broad understanding of the Data Intelligence domain within financial markets.
• Strong financial and commercial competence with a customer‑driven approach.
• Knowledge of current technological trends and concepts (e.g. data mesh and fabric).
• Expertise in understanding and leading internal and supplier teams to drive efficiency in the technology organisation.
• Strong public cloud experience.
• Strong lakehouse technologies experience.
• Strong data quality, observability and automation experience.

Leadership and Management Experience

• Experience in the transformation of a global operational, engineering‑focused team.
• Strong team building skills.
• Encourage trust, manage expectations, and gain sponsorship with business, technology and senior leadership teams.
• Work with vendors to understand technical and business opportunities, performing overall due diligence on third parties as needed.
• Skills in experimentation and failing fast with core measurement and metrics.
• Strong influencing skills.

Personal Skills and Capabilities

• Provide leadership and drive proactive and reactive mobilisation of resources in a matrix environment.
• Communicate confidently and concisely with people at all levels—technologists and non‑technologists, senior managers and team members.
• Translate vision/strategy into clear priorities and direction.
• Collaborate effectively, building partnerships with diverse stakeholders.
• Deal with ambiguity and be resilient to changing business priorities and organisational goals.
• Develop talent through coaching and mentoring, with a passion for growing talent within the wider team and beyond.

Benefits

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Equal Opportunity Employer

We are proud to be an equal opportunities employer. 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.

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