The successful applicant will be responsible for:

• Managing internal product capabilities to ensure new functionality is fit for purpose and readily available to all internal customers
• Gathering and prioritizing stakeholder feedback and understanding customer needs to drive innovation and increase operational adoption
• Developing comprehensive product definitions, concept proposals, and business cases which result in marketable products and services
• Reviewing current capabilities to ensure that quality is being maintained
• Deploying capabilities into Content Production and continuously evolving capabilities
• Defining and owning parameters to report the effectiveness of tools and the function they perform
• Defining and reporting on KPIs to assess status of tools in scope for stability and resilience

The ideal candidate will have:

• 10+ years of financial markets and operations expertise, with demonstrated success in data operations and management
• Strong leadership abilities and behaviors including accountability, collaboration and partnership, strategic thinking, talent development, effective communication skills
• At least 5 years of leadership experience with proven track record of attracting, developing and retaining talent
• Experience with delivering transformational changes in a customer and product led setting
• Ability to strategize the delivery and implementation of business cases
• Understanding of coding, generate code (Python, SQL), use of AI Agents
• Expert user of MSFT products and LSEG products/tools

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

Job Data by YubHub.

The individual will work closely with Specialists, Operations & Technology delivery teams to devise Enterprise solutions that deliver business and customer value. The role will manage stakeholders and co-ordinate with teams highly proficient in data science, machine learning, database development and front-end application engineering.

Key areas of focus for the role include:

• Product Owner for Enterprise Extraction solution
• Technology & Practices: Supports building and deploying of Enterprise solutions using emerging technology, data science, machine learning and developer toolkits in an Agile manner
• Business Expertise: Knowledge with the latest trends regarding Enterprise Solutions
• Strategic Thinking: Strategic thinker required in this role with a need to innovate and build Enterprise level solutions
• Culture Building: Works in partnership with Operations/Specialist Leaders to build knowledge, awareness, and organizational capabilities that enable innovation at scale
• Mentoring & Guidance: Mentor Data Science specialists ensuring deep expertise and rapid pace of delivery

Key Responsibilities:

• Support the development of Enterprise Solutions, MVP to test the applicability of emerging tech and ways of working
• Be the champion & product owner of enterprise extraction solution and work closely with D&A Ops for triaging and solutioning of use cases
• Lead the design and development of Enterprise Solutions, capabilities powered by AI/ML models
• Secure access to new data sources and technology for LSEG Operations

Culture Building:

• Create an Operations culture of innovation that support Ops strategic focus areas removing perceived barriers to execution
• Drive MVE team development to improve efficiency and expand Ops capabilities
• Work with communities of practice for AI/ML and other emerging technologies and methods of working
• Collaborate with D&A, Tech Ops & other stakeholders to influence technology roadmaps

Mentor:

• Mentor & guide the Data scientist team of AI/ML, adoption of industry leading practices and realization of business outcomes

Key Behaviours:

• Continuously adopt a pragmatic, flexible, and responsive approach
• Ability to priorities critical tasks whilst simultaneously managing competing demands
• Manage stakeholder engagements internally and externally
• Creates compelling proposals with technologists and business to drive innovation
• Use deep domain expertise in financial market content, data science and LSEG data and products
• Understand and staying aware of leading-edge techniques, tools and promote industry leading practices

Candidate Profile / Key Skills:

• Good interpersonal and communication skills
• Demonstrable experience working with AI/ML professionals & Tech Ops teams
• Experience managing full stack data scientists for 5-7 years
• Good understanding of Python programming concepts and leading practices and Solid SQL skills
• Ability to translate business, customers and end-users’ requirements to this into technical specifications, solutions and products, and metrics
• Extensive knowledge of MLOps approaches
• Extensive experience in Cloud computing
• Entrepreneurial thinker with the ability to take a problem statement, gather data and propose new / creative solutions

Job Data by YubHub.

Roles & Responsibilities

• Process and maintain data accurately and in a timely manner onto databases.
• Ensure data accuracy, timeliness and completeness are maintained as per company standards.
• Develop expertise in databases and financial knowledge through continuous learning and development.
• Widen usage of available tools/support to best advantage to maintain/improve content quality during daily operations.
• Adhere to dynamic process changes, data operations standards and current data policies & procedures.
• Deliver high productivity and quality data as per expected performance standards.
• Proactively identify, call out, and resolve data problems.
• Communicate & liaise with internal and external departments for resolution of data queries as per established process.
• Test new database/application releases where appropriate, providing constructive user feedback.
• Perform in-depth analysis on queries, identify root cause and drive action plans to improve Quality and customer experience.
• Ensure awareness of customer views on content & recommend improvements/raise problems as needed.
• Provide support to team for smoothening of process.
• Ensure allotted tasks are completed within agreed SLA’s & meet service metrics of the team.

Required Skills and Experience

• Technical/Professional Skills at an Intermediate level in using Excel & SQL.
• Quick learner with high level of agility.
• Good communication skills – Written and Verbal in French Language.
• Ability to take multiple tasks and flexible to extend support as per business requirements.
• Flexible to work in different shifts & Hybrid model of 3 days in Office & 2 days working from Home.
• Ability to operate with minimal guidance.
• Coach and train analysts on data issues, databases & products.
• Validated analytic and problem-solving skills, innovation and taking initiative in continuous process improvements.

Job Data by YubHub.