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Senior Manager, Reporting & Data, Colleague Svcs. & Ops RISK

LSEG · Posted Oct 14

Global financial markets infrastructure, data, and analytics services

Bangalore, IndiaFull-timeHybridLead/Staff12+ years₹45.0L–₹70.0L yearly<25 applicants
Financial ServicesFinancial ExchangeData & AnalyticsMarket InfrastructureFintechPublic Company
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About the role

The Metrics Office – Enterprise Reporting & Data Stewardship function supports LSEG's Colleague Services and Operations Risk & Resilience domains, delivering trusted data, analytics, and operational resilience across enterprise operations. The role owns enterprise-grade data foundations, including ELT pipelines into CDC / Data Warehouse environments built with Snowflake, SQL, Python, Azure, and cloud-based data platforms. This Senior Manager leads analytics and reporting transformation, embeds risk & resilience frameworks, and manages a team of managers, analysts, and data engineers while advising Director/MD/COO-level stakeholders.

What you will do

  • 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)
  • 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
  • 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
  • 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
  • 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
  • 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

Skills used in this role

SQLSnowflakePythonAzureETLELTdata pipelinesdata modellingdata warehousingdata governancedata qualitydata lineageAIleadershipcommunicationstorytellingstakeholder managementstrategic thinkingproblem solving

What the employer is looking for

  • 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
  • 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
  • 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

Benefits and support

  • healthcare
  • retirement planning
  • paid volunteering days
  • wellbeing initiatives

About LSEG

London Stock Exchange Group (LSEG) is a leading global financial markets infrastructure and data provider. The company operates connected businesses to serve customers across the entire financial markets value chain, including data and analytics, indices, capital formation, trade execution, clearing, and risk management.

Industry
Financial Services
Company size
20000+ employees
Founded
2007
Location
London, England, UK
Funding stage
Public Company