Senior Manager, Reporting & Data, Colleague Svcs. & Ops RISK
LSEG is hiring a Senior Manager, Reporting & Data, Colleague Svcs. & Ops RISK in Bengaluru, India. Level rates it ; you can apply on Level.
AI in this role
Lead data engineering and reporting strategies across colleague services and operational risk domains.
METRICS OFFICE – ENTERPRISE REPORTING & DATA STEWARDSHIP – SENIOR MANAGER, Reporting & Data Stewardship, Colleague SVCS. & OPS RISK
Role Summary
We are seeking a highly driven Senior Manager to lead the delivery of data, analytics, and operational resilience across Colleague Services and Operations Risk & Resilience domains.
This role sits at the intersection of business leadership, data engineering, and operational excellence, responsible for enabling senior stakeholders with trusted insights, building robust ELT pipelines into CDC, and shaping a high-performing team.
You will play a key role in building enterprise-grade data foundations, ensuring resiliency of operations, and driving transformation through data-led decision making.
What You’ll Be Doing
Strategic Leadership & Stakeholder Management
- Act as a trusted advisor to senior stakeholders (Director/MD/COO level) across Colleague Services and Operations functions
- Translate complex business challenges into clear data, reporting, and resilience strategies
- Lead governance forums, drive decision-making, and influence operating models
- Build strong cross-functional partnerships (Data Engineering, Product, Operations, Risk)
Data Engineering & ELT Pipeline Ownership
- Lead the design and execution of end-to-end data pipelines (ELT) into CDC / Data Warehouse environments
- Ensure high-quality, scalable, and governed datasets aligned with enterprise data standards
- Work hands-on with technologies such as Snowflake, SQL, Python, Azure, and cloud-based data platforms
- Drive data quality, lineage, reconciliation, and automation practices
- Partner with engineering teams to optimise performance, reliability, and cost
Operational Risk & Resilience
- Define and embed risk & resilience frameworks across operations
- Identify key operational risks and build data-led monitoring mechanisms
- Ensure visibility of incidents, control gaps, and recovery capabilities
- Support business continuity and resilience maturity improvement
- Drive a culture of proactive risk management using analytics and insights
Colleague Services Analytics & Transformation
- Lead analytics and reporting for Colleague Services (HR, workforce, service operations)
- Deliver actionable insights across workforce performance, service efficiency, and experience metrics
- Standardise KPI frameworks, reporting definitions, and operational dashboards
- Drive transformation initiatives to improve customer experience and operational efficiency
Building a High-Performing Team
- Lead, mentor, and develop a team of managers / analysts / data engineers
- Establish clear goals, performance frameworks (WHAT & HOW), and development plans
- Foster a culture of accountability, innovation, and continuous improvement
- Coach the team on advanced analytics, stakeholder engagement, and problem solving
Driving Excellence in Data & Insights
- Ensure delivery of accurate, timely, and business-critical reporting
- Translate data into compelling narratives for executive audiences (ExCo-level)
- Drive adoption of data products and self-service analytics capabilities
- Embed continuous improvement through automation and AI-driven insights
What You’ll Bring
Experience
- 12+ years of experience in Data, Analytics, Operations, or Data Engineering roles
- Proven experience working with senior stakeholders and influencing decision-making
- Strong exposure to Operations, Risk, or Service environments
- Experience building or managing enterprise data platforms / data warehouses
- Must possess at least a Bachelor's/College Degree, any field
- Hybrid working (3 days working from office)
- Must be prepared to work UK/US hours as and when required
Technical Skills
- Strong hands-on expertise in:
- SQL, Snowflake, Python
- ELT/ETL frameworks and data pipeline design
- Cloud platforms
- Data modelling, warehousing, and optimisation
- Understanding of data governance, data quality, and lineage frameworks
Leadership & Behavioural Skills
- Strong leadership presence with ability to operate at Director/MD level
- Excellent communication and storytelling skills
- Proven ability to build and scale high-performing teams
- Strategic thinking with strong execution focus
- Comfortable operating in ambiguous, fast-paced environments
Why Join Us
- Lead high-impact transformation across enterprise operations
- Shape the future of data-driven decision-making and resilience frameworks
- Work with senior leadership across multiple global functions
- Build and scale next-generation data and analytics capabilities
Career Stage:
ManagerLondon 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 Manager, Reporting & Data, Colleague Svcs. & Ops RISK at LSEG rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
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- List these exact terms on your resume: Data Engineering, ETL, Analytics, Stakeholder Management, and Risk Management. 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.
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