Senior Manager, AI Productivity

Digital Operations, part of the LSEG Infrastructure & Cloud organisation, is seeking a Senior AI Productivity Manager to lead the AI Productivity Platforms function across the enterprise.

This role will own the enterprise AI platforms — ChatGPT, Claude, Microsoft Copilot and future GenAI capabilities — ensuring secure, scalable, compliant, and value-driven adoption across LSEG. The successful candidate will drive platform enablement, integration, governance, and measurable productivity impact, working closely with business units and technology teams.

As part of this senior leadership role, we are looking for a professional with experience building enterprise AI productivity platform capabilities from the ground up — including operating models, governance frameworks, integration patterns, and value measurement mechanisms. The role requires strong experience across SaaS platform management, API integrations, automation, identity and access management, data protection controls, and enterprise tooling ecosystems.

This role will play a critical part in accelerating workforce productivity and enabling responsible AI adoption across Markets, Data & Analytics, and Corporate functions.

This role will lead a regional squad of AI developers, partnering globally to establish a consistent enterprise AI productivity enablement model, drive adoption and ensure safe, governed usage of AI platforms across the organisation.

Key Responsibilities

Own enterprise strategy, governance, and lifecycle management of AI productivity platforms (ChatGPT, Claude, Microsoft Copilot and future GenAI tools).
Lead secure enterprise deployment, configuration, identity integration, data protection controls, and policy enforcement.
Drive connector and MCP integrations between AI platforms and enterprise systems including O365 (Teams, Outlook, SharePoint, OneDrive), Jira, Confluence, Asana, ServiceNow and internal knowledge/workflow platforms.
Build and lead a high-performing AI Productivity team responsible for platform engineering, integrations, automation, adoption enablement, analytics and value tracking.
Establish enterprise AI governance frameworks covering responsible use, regulatory compliance, auditability, model risk alignment and vendor risk management.
Embed AI into business workflows to drive measurable productivity improvements, automation and quality enhancement across engineering, operations and corporate functions.
Define and track OKRs, SLAs, OLAs and KPIs linked to adoption, time saved, cost optimisation and business impact.
Partner with CIOs, business leaders, Cyber Security, Risk, Legal and Architecture to ensure safe, scalable and compliant AI enablement.
Own platform resilience, vendor management, service continuity and cost optimisation across AI tooling.
Drive continuous improvement, experimentation frameworks and structured scaling of high-impact AI use cases across the enterprise.

About LSEG

At LSEG, we believe that crafting a diverse and inclusive organisation is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose – driving financial stability, empowering economies and enabling customers to create sustainable growth – in everything we do.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 70 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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

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 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.

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.

Role Requirements

Proven experience leading enterprise-scale SaaS or digital productivity platform ownership in a complex, regulated environment.
Deep understanding of MCP (Model Context Protocol) and A2A (Agent-to-Agent), including context modelling, agent roles, communication patterns, and secure integration in enterprise environments
Ability to govern, and operationalize MCP and A2A solutions, ensuring scalability, reliability, observability, and alignment with business and compliance requirements
Strong understanding of enterprise AI/LLM platforms (ChatGPT Enterprise, Claude Enterprise, Microsoft Copilot) and their security, compliance and operational considerations.
Demonstrated experience designing secure API integrations across enterprise ecosystems (O365, Jira, Confluence, ServiceNow, workflow and collaboration platforms).
Strong knowledge of Identity & Access Management, data protection, DLP, governance frameworks and enterprise architecture principles.
Experience building and scaling technical teams, operating models and governance structures from early-stage capability to enterprise adoption.
Ability to translate AI capabilities into measurable business value with defined productivity and ROI metrics.
Strong stakeholder management and executive communication skills with experience influencing senior leadership.
Experience operating in high-control, risk-aware environments with structured ITSM and change management processes.
Commercial acumen including vendor management, licensing optimisation and cost governance.
Strategic mindset with hands-on technical depth and a bias toward execution and measurable outcomes.