AI- Led Data- Quality & Knowledge Management/Senior Associate Director

HSBC; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

HSBC Software Development India is seeking a senior data governance professional to lead AI-driven data quality initiatives across ITSM domains, including CMDB, incidents, changes, and service maps. The role focuses on establishing data governance standards, ownership models, and remediation workflows, with strong collaboration across ServiceNow, CMDB, and AI teams.

You will translate business pain points into data-driven improvement opportunities, build monitoring and executive reports, and

Qualifications

• Strong understanding of ITSM, CMDB, ServiceNow, and related processes.

Responsibilities

• Own the design and execution for AI-led data quality management across Service Management data domains.

Skills

ITSM knowledge

CMDB

ServiceNow

Data governance

GenAI knowledge

Data quality

Stakeholder engagement

Process automation

Dashboards

Regulatory awareness

Tools

ServiceNow

CMDB

Observability

AI platforms

Job description

Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions

In this role, you will:

• Own the strategy and execution for AI-led data quality management across Service Management data domains including CMDB, incidents, problems, changes, service maps, knowledge articles, ownership data, control attributes, and operational metadata.
• Lead the design of a Service Management knowledge foundation enabling better context engineering, GenAI responses, service relationship discovery, impact analysis, and operational decision-making.
• Drive data quality governance by defining standards, controls, scorecards, ownership models, exception management, and remediation workflows.
• Partner with ServiceNow, CMDB, ITSM, Observability, Service Owners, Platform Engineering, and AI teams to improve data completeness, accuracy, consistency, timeliness, and lineage.
• Build and oversee AI data stewardship workflows, including automated recommendations for service relationships, CI enrichment, knowledge gaps, duplicate detection, stale data identification, and ownership validation.
• Translate business and operational pain points into data-driven and AI-enabled improvement opportunities.
• Establish lightweight engineering and automation capability for data profiling, validation, dashboards, exception queues, and continuous monitoring.
• Create executive-level reporting on data health, knowledge maturity, AI-readiness, control gaps, and remediation progress; ensuring practices support audit, risk, regulatory, resilience, and operational control requirements.

To be successful in this role, you should meet the following requirements:

• Strong understanding of ITSM, CMDB, ServiceNow, service mapping, knowledge management, incident/problem/change processes, and operational data models.
• Ability to connect technical data quality issues with business outcomes (e.g., service availability, operational risk, faster RCA, better change decisions, improved AI accuracy).
• Working knowledge of GenAI, context engineering, knowledge graphs, data stewardship, metadata management, and agentic AI workflows.
• Experience with data governance, data quality frameworks, control design, dashboards, process automation, and cross-functional remediation.
• Ability to engage senior stakeholders and convert ambiguous operational issues into structured transformation plans.
• Proven capability to define and implement standards, controls, scorecards, and ownership models for data quality and knowledge maturity.
• Experience building monitoring and reporting mechanisms (dashboards, exception queues, continuous monitoring) for operational data health.
• Strong understanding of audit/risk/regulatory expectations as they relate to operational data, resilience, and controls.

HSBC is 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.

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by — HSBC Software Development India

www.hsbc.com/careers