Job description
Business: Central Ops Enterprise Performance Mgmt, Business Performance Analytics
Open positions: 1
Role Title: Reporting and Analytics Lead GSC’s
Global Career Band: 4
Location (Country/City): India/Hyderabad
Recruiter Name: Anusha Balakrishna
Why join us?
We are dedicated to delivering operational excellence and facilitating informed decision-making across the organization. This department focuses on leveraging cutting-edge data analytics and decision science methodologies to refine processes, mitigate risks, enhance compliance, and reduce operational inefficiencies.
We’re investing in the transformation of our data infrastructure to deliver trusted, scalable, and insight-ready data. Our golden data sources are at the heart of critical operational, reporting, and analytics use cases — and we’re looking for a strong, pragmatic leader who can stabilise legacy foundations while leading the charge into modern, standards-driven data operations.
We work closely with Ops to deliver insights that empower Leaders to streamline operations, enhance cost-effectiveness, and fortify the institution's resilience against disruptions. Through rigorous analysis and strategic guidance, we play a pivotal role in enhancing the organization's overall operational efficiency and resilience.
The Opportunity
You’ll be at the helm of defining and implementing enterprise-wide data standards, ensuring our most essential data assets — across billing, service performance, cost, workforce, commercialisation, and colleague domains — are consistent, high-quality, governed, and future-ready. You will drive the successful replatforming of key processes to a modern SQL Server environment, modernise outdated transformation logic, and oversee the migration of legacy golden sources to a distributed, scalable architecture hosted across SQL Server and GCP.
This role combines strategic influence and technical execution: you’ll shape how data is structured, validated, delivered, and consumed across the organisation while collaborating with governance, analytics, and technology teams. You’ll also lead a hybrid delivery model, managing both internal staff and third-party suppliers to drive quality, automation, and operational resilience. If you thrive on solving complex data challenges, modernising legacy systems, and delivering enterprise-wide impact, this role offers both the platform and the autonomy to make it happen.
What you’ll do:
The candidate will deliver on the implementation of the framework through following activities below.
Project management and leadership:
Manage a cross-functional team including business stakeholders, developers, and two strategic external suppliers
Set clear development priorities, performance expectations, and accountability measures for supplier teams.
Proactively manage risks, issues, and changes in the scope, ensuring alignment with business objectives.
Report regularly on project status, update Jira, Confluence, prepare the project plan.
Provide mentoring and guidance to the Team members.
Foster collaboration and accountable team culture focused on delivery excellence.
Operational Performance, Effectiveness & Control:
Oversee the ingestion and transformation of data from over 800 automated feeds and multiple manual sources including SharePoint and PowerApps.
Implement robust data validation, error handling, and reconciliation processes to ensure timely and accurate data availability. Enable trusted analytics and reporting outcomes by improving data consistency, quality, and lineage.
Lead the transformation of fragile legacy golden source tables into scalable, modular, and distributed data platforms.
Deliver a successful migration of billing and service performance logic to a modern SQL Server environment with improved stability and maintainability
Drive automation and reduce manual interventions by modernising outdated transformation procedures and improving monitoring practices.
Define and embed enterprise data standards that ensure consistency, reusability, and trust.
Lead the transformation of legacy golden sources into scalable, distributed data platforms.
Govern the migration of key workloads to modern SQL Server and GCP environment.
Design and oversee modular, fault-tolerant, and scalable ETL/ELT pipelines.
Implement robust documentation and version control practices to maintain transparency and reproducibility.
Monitor the accuracy and reliability of data pipelines and ensure data integrity across all stages of analysis.
Mitigate risks associated with decision-support systems through thorough validation, testing, and regular audits.
Business Analysis:
Act as a strategic partner in gathering and refining business requirements.
Conduct gap analysis, impact assessments, and solution design in collaboration with stakeholders and technical teams.
Translate business need into clear documentation: BRDs, user stories, acceptance criteria, and workflows.
Build internal capability around data standardization, automation best practices, and documentation.
Ensure solution meet both functional and non-functional business requirements.
Introduce Ops-wide data engineering best practices including data lineage, observability, and schema evolution.
Establish reusable transformation frameworks with centralized logic and documentation.
Define and embed enterprise data standards that ensure consistency, reusability, and trust.
Drive CI/CD automation for data pipeline deployment, testing, and version control.
Stakeholder management:
Act as the bridge between business stakeholders, governance teams, and technology partners to align on data requirements and delivery priorities.
Engage with business leaders and technical teams to ensure shared understanding of goals and priorities.
Facilitate decision-making and alignment across various stakeholders.
Lead workshops, presentations, and status meetings with diverse audiences.
Influence stakeholders without direct authority and align priorities across teams and regions.
Major Challenges:
The programme is highly complex, including: a diverse matrix, senior stakeholders, substantial work-streams.
Managing across a wide variety of differing core processes and data technologies.
Need to be able to work at multiple levels of the organization: senior management to ensure alignment and support for the program as well as project teams responsible for execution and delivery.
Requirements
What you will need to succeed in the role
To be successful in this exciting role, you should possess a combination of technical skills, analytical acumen, and collaborative abilities. Here are the key attributes and qualifications needed:
Master’s degree in Business, Computer Science, Engineering, or a related fields.
12+ years of experience in Project management, enterprise data infrastructure or engineering roles, with at least 5 years in a lead or senior role.
Strong background in Business Analytics (ideally with 5+ years in data leadership roles.
Strong background in data standards, governance frameworks, metadata management, and platform observability.
Familiarity with data pipeline tooling, automation practices, version control (Git), and backlog management (Jira/Confluence).
Hands-on experience with data transformation tools such as Alteryx, and basic knowledge of Python and SQL scripting.
PMP, PRINCE2, or Agile/Scrum certification (e.g. CSM, PMI-ACP).
CBAP or other relevant BA certification.
Experience with tools such as Jira, Confluence, MS Project, Power BI, or similar.
Background in Financial Services, Banking, or Enterprise IT environment is a strong asset.
Deep expertise in SQL Server, GCP platform, and large-scale ETL/ELT architecture.
DataOps & DevOps: CI/CD pipelines for data systems with automated testing and version control.
Proven delivery of infrastructure-as-code (IaC) and schema evolution frameworks
Key Competencies:
Strategic thinking with a hands-on approach to delivery.
Excellent communication and negotiation skills.
Strong analytical and problem-solving ability.
Leadership and team-building mindset.
High attention to details and organizational skills.
By combining these skills and attributes, a candidate can effectively contribute to the department's mission of enhancing operational excellence and informed decision-making within the organization.
Link to Candidate User Guide:
(Or)
Go to the below link and type “IND GSC : IJP Applicant User Guide” in search bar. https://hsbchrdirect.service-now.com/hrsp?id=hrdirect_employee_dashboard
You’ll achieve more at HSBC
HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”
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***Issued By HSBC Electronic Data Processing (India) Private LTD***
Nom du recruteur
Anusha Balakrishna
E-mail du recruteur
anusha.balakrishna@hsbc.co.in