Level

LSEG

Senior Content Specialist

LSEG is hiring a Senior Content Specialist. Level rates it ; you can apply on LSEG.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions AI agents, process optimization and data modeling among its tools and skills.
  • Level classes it as a senior role.
  • LSEG has 667 other open roles on Level.
  • Posted in the last few days.

AI in this role

Senior Content Specialist driving operational transformation through AI, automation, and agent-based solutions.

ai-agentsprocess-optimizationdata-modelingworkflow-automationrequirements-gatheringcontent-operations

Role overview 

As a Senior Content Specialist, you will play a key role in the DBOR Transformation programme, shaping the future operating model, data workflows, and tooling capabilities used across Content Operations.  

You will work closely with Content Infrastructure Owners, Engineering, Product and Operations teams to refine business requirements, support solution design, drive adoption, and ensure successful delivery of transformational change. 

This role offers a unique opportunity to influence how data is managed at scale across a global organisation while working at the forefront of AI, automation and product-led transformation. You will work on complex business challenges, collaborate with experts across Product and Engineering, and help deliver capabilities that will shape the next generation of Content Operations 

 

Key responsibilities: 

  • Partner with Content Infrastructure Owners to translate strategic requirements into executable operational solutions. 
  • Identify and implement opportunities to leverage AI, automation and agent-based solutions to improve operational efficiency, quality and scalability 

 

  • Define, document and maintain operating models, process documentation and operational standards 
  • Support data modelling activities by documenting business rules, workflows, dependencies and operational requirements. 
  • Develop a thorough understanding of the data sources, business rules and processing logic that support the assigned data domain 
  • Assess impacts of proposed changes on users, processes and downstream operations. 
  • Lead business testing and validation activities to ensure solutions meet operational and business requirements. 
  • Facilitate knowledge transfer across operational teams on new tools and functions 
  • Gather user feedback and identify enhancement opportunities to improve adoption and effectiveness. 
  • Analyse data sources, lineage, business rules and processing logic to support the design, implementation and optimisation of DBOR capabilities. 
  • Develop and maintain deep expertise in DBOR processes and data workflows, acting as a trusted advisor during solution deployment and adoption. 
  • Proactively identify opportunities to improve processes, data quality, operational controls and user experience through technology and workflow enhancements 
  • Build effective relationships across Content Operations, Product and Engineering teams aligned with a product‑led operating model. 

 

 

Required Skills 

  • Experience delivering business, operational, data or technology transformation initiatives. 
  • Strong analytical, business analysis and process improvement skills. 
  • Experience documenting business processes, requirements and operating models. 
  • Experience supporting technology implementations, platform migrations or operational change programmes. 
  • Ability to analyse complex problems and develop practical, scalable solutions. 
  • Ability to understand data models, technology architectures and system workflows sufficiently to collaborate effectively with engineering and product teams 
  • Strong stakeholder management, influencing and communication skills.  
  • Ability to manage change and challenge existing processes. 
  • Experience working across both business and technical teams. 
  • Experience with AI agents, workflow automation tools, Python, SQL or low-code development platforms. 

Desirable Skills 

  • Experience within financial services, market data, data management, content operations or related industries. 
  • Understanding of data governance, data quality and operational controls. 
  • Experience working in Agile or product-led delivery environment 

Career Stage:

Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

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. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

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.

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. Colleagues can get involved through fundraising and volunteering.

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.

How we rate this

Senior Content Specialist at LSEG rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsProcess OptimizationData ModelingWorkflow AutomationRequirements GatheringContent Operations

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where process optimization was part of your work. What did you do?
  3. Tell me about a project where data modeling was part of your work. What did you do?
  4. Tell me about a project where workflow automation was part of your work. What did you do?
  5. Tell me about a project where requirements gathering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Process Optimization, Data Modeling, Workflow Automation, and Requirements Gathering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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