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Director, Divisional Reporting & Data Stewardship

PHL-Taguig City-CitiPlaza

Live, first seen by us 30 days ago
Pay
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Build, maintain and scale product-focused metrics and dashboards

  • Own the predictive analytics technology roadmap and operating model for Operations

  • Design predictive and generative analytics solutions with Engineering and Product

  • Evaluate Operations data sets and recommend improvements to data quality

  • Lead divisional reporting teams and a small analytics engineering team

From the employer’s posting
build, maintain, and scale product-focused metrics and dashboards
own the predictive analytics technology roadmap and operating model for LSEG Operations
design forward-looking predictive and generative analytics solutions
evaluate Operations data sets and recommend enhancements to improve data quality, completeness, and interoperability
The role will lead our divisional reporting teams

Posting record

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Status in our records
Live
First seen by us
Oct 14, 202630 days ago
Recorded sightings
73
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 30

Similar jobs usually come down between day 8 and day 57.

At London Stock Exchange Group, jobs usually come down by about day 27.

From 9,400 similar postings that came down, and 175 of London Stock Exchange Group’s. Coming down is not always a hire.

London Stock Exchange Group is hiring

64 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Python
  • SQL
Where the posting names them
- Demonstrable experience leading AI 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.

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About London Stock Exchange Group

Company
Listed as LSEG.L.
H-1B visas
17 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

The Director of Divisional Reporting and Predictive Analytics will partner with divisional stakeholders to build, maintain, and scale product-focused metrics and dashboards that improve operational transparency, decision-making, and performance management.


This role will own the predictive analytics technology roadmap and operating model for LSEG Operations, working closely with Engineering, Operations, and Product Management to design forward-looking predictive and generative analytics solutions. The role will also evaluate Operations data sets and recommend enhancements to improve data quality, completeness, and interoperability in support of scalable analytics use cases.


The role will lead our divisional reporting teams supporting Risk Intelligence, FTSE and Markets as well as a small, highly skilled team across predictive analytics, machine learning, database development, automation, and front-end application engineering. The team will be expected to continuously build expertise in emerging technology, industry practices, financial content, and LSEG business processes.


Key areas of focus for the role include:


  • Divisional Engagement: Build trusted partnerships with divisional leadership teams, product managers, and embedded Operations and Engineering delivery teams.  
  • Data, Technology & Practices: Develop multiyear investment strategies, technology and data roadmaps, and ways of working that enable agile proof-of-concept testing and seamless transition of successful pilots to LSEG Engineering for build and deployment.
  • Culture Building: Partner with LSEG leaders and Operations Academy to build the knowledge, awareness, and organizational capabilities required to enable innovation at scale.
  • Leadership: Lead predictive analytics, automation, and data visualization specialists, ensuring deep expertise, rapid delivery, and measurable business outcomes.

Key Responsibilities


Technology & Practices


  • Continually 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 AI and machine learning models.
  • Secure access to new data sources for LSEG Operations in anticipation of future organizational and customer requirements.

Culture Building

  • Create an Operations culture of innovation by facilitating pilot programs that support strategic focus areas and remove perceived barriers to execution.
  • Drive team development to improve efficiency, strengthen delivery capability, and expand Operations expertise.
  • Sponsor Operations Academy communities of practice for AI/ML and other emerging technologies and ways of working.
  • Collaborate with Engineering and Product Management to influence technology roadmaps and align delivery with operational priorities.

Leadership

  • Directly lead a team of AI, machine learning, automation, and visualization professionals, maintaining high standards for delivery, adoption of industry-leading practices, and realization of business outcomes.

Key Capabilities

  • Demonstrate deep subject matter expertise and the ability to influence organizational thinking.  
  • Conceptualize and address highly complex, enterprise-wide business challenges across LSEG. 
  • Develop and implement strategy for LSEG Operations, with clear linkage to measurable business outcomes.
  • Understand and apply industry-leading practices for LSEG Operations, driving adoption where required to improve performance and resilience.
  • Communicate highly technical concepts clearly to non-technical business and executive stakeholders.
  • Develop creative insights and correlation studies that support executive planning, performance management, and management reporting.
  • Foster and maintain collaborative working relationships with stakeholders across all levels of LSEG.

Observation of Internal Controls

  • Demonstrate adherence to internal controls by following relevant procedures, maintaining appropriate records, and implementing internal and external audit actions in a timely manner.

Candidate Profile / Key Skills


Essential

  • Strong interpersonal and written communication skills, with the ability to influence stakeholders across all organizational levels.
  • Demonstrable experience leading AI 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.
  • Entrepreneurial mindset with the ability to interpret complex problem statements, gather relevant data, and propose practical, creative solutions.
  • Educated to degree level or able to demonstrate equivalent professional experience.

Preferred

  • 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.

Career Stage:

Director

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.

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