About the role

Data & Content Governance Lead

Job Description

Position Title: Data & Content Governance Lead

Department: Central Services – Information Technology

Reporting To: AI Transformation Program Director

Location: Bangalore,Sarjapur

About Savills:

For over 160 years, Savills has been helping people thrive through place and spaces.

Listed on the London Stock Exchange, we have more than 40,000 professionals collaborating across over 70 countries, delivering unrivalled coverage and expertise to the world of commercial and prime residential real estate.

By applying world research data and trends to local and global settings, we’re able to empower our clients with insights from the forefront of the industry – bringing their aspirations to life through innovative, tailor-made solutions.

Whether we are working with a global corporate looking to expand, an investor seeking to sustainably optimise their portfolio, or a family trying to find a new home, we help our clients make better property decisions.

Equal Employment Opportunity:

Savills is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Role Summary

The Data & Content Governance Lead is responsible for ensuring that enterprise data and business content (both structured and unstructured) are well-governed, standardised, discoverable, and AI-ready.

This role works closely with business stakeholders to define governance practices, organise repositories, improve data usability, and enable reliable analytics and AI outcomes.

The position acts as a key bridge between business and technology, driving structured data practices across the organisation to support AI and digital transformation initiatives.

Key Responsibilities

Data Governance & Inventory
- Identify, catalogue, and maintain an enterprise data inventory
- Define and document: Data ownership, Data classification, Data lineage and dependencies
- Establish clarity on data usage across business functions
Content Governance & Standardisation
- Define and implement: Folder structures, Document hierarchies, Naming conventions for business documents.
- Establish metadata and tagging frameworks
- Ensure consistency across SharePoint and other repositories
Repository & Information Management
- Structure and optimise: SharePoint sites, Document libraries, Shared drives and enterprise repositories
- Define standards for: Version control, Archival and retention, Duplication reduction.
Access Control & Governance
- Define role-based access models
- Drive accountability and ownership of data assets
- Implement governance practices without impacting usability
AI Data Readiness Enablement
- Ensure business data and content are: Structured, Consistent, Complete and usable
- Enable high-quality input for AI and analytics systems
- Improve reliability of AI outputs through better data preparation
Business Engagement & Adoption
- Work closely with business teams to: Understand current data practices, Identify gaps and inefficiencies
- Drive adoption of governance frameworks and best practices
- Conduct awareness sessions and enablement workshops
Documentation & Standards
- Develop and maintain enterprise-wide guidelines for: Data structuring, Document naming conventions, Repository usage and governance.
- Standardise practices across functions

Skills & Experience

Must Have

5–8 years of experience in data management, process improvement, or business operations roles.
Strong stakeholder management and communication skills
Ability to work effectively with non-technical business teams
Structured thinking with strong focus on organisation and standardisation
Experience with SharePoint / M365 / document management tools
Exposure to data governance frameworks and practices
Understanding of how data is used in analytics and AI contexts
Practical understanding of both structured and unstructured data

Good to Have

Experience driving organisation-wide process adoption
Exposure to metadata frameworks, taxonomy design, or data classification
Familiarity with AI transformation initiatives

What This Role Is Not

Not a data science or AI model development role
Not a pure IT or tool administration role
Not a document control or back-office function

Success Metrics

Data inventory created and validated across key functions
Standardised folder structures and naming conventions implemented
Improved discoverability and usability of documents
Reduction in duplication and unstructured storage
Business adoption of defined data and document practices
Readiness of datasets and documents for AI use cases

Scope

Geographical: APAC
Functional: Cross-business data and document structuring for AI enablement
Stakeholders: Business teams, AI Transformation team