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LSEG

Global financial market infrastructure and data

Director Divisional Reporting & Data Stewardship

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Demonstrable experience leading artificial intelligence and machine learning professionals.
  • Strong understanding of Python programming concepts and leading practices, supported by solid SQL skills.
  • Extensive knowledge of MLOps approaches and their application in scalable analytics delivery.
  • Extensive experience applying cloud computing capabilities to data, analytics, or automation solutions.
  • Educated to degree level or able to demonstrate equivalent professional experience.
  • Experience in large investment banking or financial services organizations is preferred.
  • Familiarity with Refinitiv or LSEG processes and products is preferred.
  • Experience working with executives and/or C-suite stakeholders is preferred.
  • Experience working effectively with global, distributed teams is preferred.

Responsibilities

  • Partner with divisional stakeholders to build, maintain, and scale product-focused metrics and dashboards that improve operational transparency, decision-making, and performance management.
  • Own the predictive analytics technology roadmap and operating model for LSEG Operations, working with Engineering, Operations, and Product Management to design predictive and generative analytics solutions.
  • Evaluate Operations data sets and recommend enhancements to improve data quality, completeness, and interoperability for scalable analytics use cases.
  • Lead divisional reporting teams supporting Risk Intelligence, FTSE, and Markets, as well as a team spanning predictive analytics, machine learning, database development, automation, and front-end application engineering.
  • Build trusted partnerships with divisional leadership teams, product managers, and embedded Operations and Engineering delivery teams.
  • Develop multiyear investment strategies, technology and data roadmaps, and ways of working that enable agile proof-of-concept testing and transition successful pilots to LSEG Engineering for build and deployment.
  • Partner with LSEG leaders and Operations Academy to build the knowledge, awareness, and organizational capabilities needed to enable innovation at scale.
  • Lead predictive analytics, automation, and data visualization specialists, ensuring expertise, rapid delivery, and measurable business outcomes.
  • Assess the applicability of emerging technologies, models, and ways of working for LSEG Operations.
  • Drive investment planning for the Operations Metrics Office’s multiyear predictive analytics, tooling, and data-modelling capabilities.
  • Lead the design and development of proof-of-concept capabilities powered by artificial intelligence and machine-learning models.
  • Secure access to new data sources for LSEG Operations in anticipation of future organizational and customer requirements.
  • Facilitate pilot programs supporting strategic focus areas and remove perceived barriers to execution to build an Operations culture of innovation.
  • Drive team development to improve efficiency, strengthen delivery capability, and expand Operations expertise.
  • Sponsor Operations Academy communities of practice for artificial intelligence/machine learning and other emerging technologies and ways of working.
  • Collaborate with Engineering and Product Management to influence technology roadmaps and align delivery with operational priorities.
  • Directly lead artificial intelligence, machine learning, automation, and visualization professionals, maintaining high delivery standards, adoption of industry-leading practices, and realization of business outcomes.
  • Develop and implement strategy for LSEG Operations, linking it to measurable business outcomes.
  • Apply industry-leading practices for LSEG Operations and drive adoption where required to improve performance and resilience.
  • Communicate technical concepts to non-technical business and executive stakeholders.
  • Develop insights and correlation studies supporting executive planning, performance management, and management reporting.
  • Maintain collaborative working relationships with stakeholders across organizational levels.
  • Follow relevant procedures, maintain appropriate records, and implement internal and external audit actions in a timely manner.

Desired Qualifications

  • Experience in large investment banking or financial services organizations.
  • Familiarity with Refinitiv or LSEG processes and products.
  • Experience working with executives and/or C-suite stakeholders.
  • Experience working effectively with global, distributed teams.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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