AI Training and Adoption Lead
Position Title :
AI Training and Adoption 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
This role is responsible for driving adoption of AI tools (including Microsoft
Copilot and related solutions) across APAC by enabling business users to use
them effectively in their day-to-day work. The focus is on practical training,
behaviour change, and sustained usage, based on predefined use cases provided
by the AI Transformation team. This role will also work closely with the
regional Training team to develop training materials and ensure they are
delivered through the LMS and other approved training platforms.
Key Responsibilities
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Training Delivery
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Design and deliver structured training programs on AI tools (Copilot,
Microsoft 365 AI features)
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Conduct live sessions, workshops, and hands-on training for business
teams
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Tailor training to different roles and functions
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Use Case Enablement
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Deliver training based on predefined AI use cases and workflows
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Convert use cases into simple, step-by-step user guidance
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Demonstrate practical application in day-to-day business scenarios
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Adoption and Engagement
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Drive consistent usage of AI tools across teams
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Monitor adoption and identify gaps in usage
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Work with stakeholders to improve uptake and usage quality
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Training Content and Assets
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Develop and maintain training materials, quick guides, and playbooks
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Create prompt libraries and reusable templates for common tasks
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Maintain a central repository of training content
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Work closely with the regional Training team to develop training
materials and ensure delivery through the LMS and other approved
training platforms.
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Business Interaction
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Work directly with business users to understand challenges in adoption
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Provide ongoing support and guidance post-training
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Act as a bridge between AI capabilities and business usage
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Feedback and Improvement
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Gather feedback on training effectiveness and usability
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Refine training approach based on user needs
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Share adoption insights with the AI Transformation team
Skills & Experience
Must Have
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5–8 years of experience in training, enablement, or business-facing roles
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Strong communication and presentation skills
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Hands-on experience with Microsoft Copilot or similar AI productivity tools
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Ability to simplify and explain concepts for non-technical users
Good to Have
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Experience with Microsoft 365 ecosystem
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Exposure to change management or adoption programs
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Basic understanding of AI use in business workflows
What This Role Is Not
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Not responsible for identifying or designing AI use cases
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Not a data science or AI development role
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Not a one-time training role
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Focus is on driving sustained adoption of defined AI use cases
Success Metrics (First 6 Months)
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Number of users and teams trained across APAC
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Demonstrated increase in AI tool usage
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Adoption of training materials and prompt libraries
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Improved consistency in usage across teams
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Positive stakeholder feedback on training effectiveness
Scope
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Geographical:
APAC
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Functional:
AI training and adoption across business teams
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Stakeholders:
Business users, AI Transformation team