Business Process Analyst-APAC

Business Process Analyst

Job Description

Role	Business Process Analyst
Type	IC (Individual Contributor)
Designation /Grade	JM 3 (Senior Executive)
Relevant Experience	5+ Years
Job Location	Savills Bellandur, Bangalore, Sarjapur Road
Work Type	Hybrid (4 Days in Office)
Job Type	Full Time, Savills Payroll

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.

Scope:

The Business Process Analyst serves as the critical link between Savills' business teams across Asia Pacific and the AI Transformation team. The role focuses on identifying business challenges suitable for AI solutions, translating user requirements into actionable delivery plans, supporting solution development, and driving successful adoption following deployment.

This is a delivery-focused role that combines business analysis, stakeholder engagement, user enablement, and benefits realization. Success in this role will be measured not only by the quality of AI solutions delivered, but also by user adoption, business outcomes, and measurable operational improvements achieved.

Working from the Bangalore office, the role collaborates extensively with stakeholders across multiple Asia Pacific markets in a documentation-first, largely asynchronous operating environment.

Key Responsibilities

1. Use Case Discovery & Business Analysis

• Engage with business users, process owners, and subject matter experts across Asia Pacific to understand current operating processes, volumes, pain points, risks, and cycle times.
• Conduct structured virtual discovery workshops, process walkthroughs, interviews, and requirements gathering sessions.
• Document current-state and future-state processes using clear and consistent business analysis methodologies.
• Develop comprehensive AI use case briefs covering:
  • Business problem statement
  • Current baseline performance
  • Proposed AI intervention
  • Expected business benefits
  • Scope and success criteria
• Elicit and document functional requirements, user stories, acceptance criteria, and business rules for AI development teams.
• Collect representative data samples, documents, and business scenarios to support solution development and testing.
• Educate business users on data quality, information organization, and readiness requirements for AI initiatives.

2. Delivery Support

• Act as the voice of the business within AI delivery squads.
• Participate in delivery ceremonies, including stand-ups, planning sessions, and project reviews.
• Clarify business requirements and resolve requirement ambiguities throughout the delivery lifecycle.
• Validate AI outputs against real-world business scenarios and operational requirements.
• Identify, document, and track defects, gaps, and quality issues using reproducible examples.
• Plan and coordinate User Acceptance Testing (UAT) activities across multiple markets.
• Create test scripts and acceptance criteria aligned with business objectives.
• Recruit, brief, and support business testers throughout UAT execution.
• Consolidate feedback, prioritize issues, and provide implementation readiness recommendations.

3. Adoption & User Enablement

• Develop user-facing documentation to support self-service adoption across time zones, including:
  • Quick-start guides
  • Standard Operating Procedures (SOPs)
  • FAQs
  • Prompt libraries
  • User guides
• Deliver virtual onboarding sessions, training workshops, and recorded demonstrations.
• Facilitate drop-in clinics and support channels to assist users following deployment.
• Provide hands-on hypercare support during solution rollouts and stabilization periods.
• Monitor adoption metrics such as active users, frequency of use, engagement levels, and drop-off trends.
• Proactively engage with teams and users where adoption is lower than expected.
• Gather post-implementation feedback and maintain a prioritized enhancement backlog for future releases.

4. Measurement & Reporting

• Establish baseline metrics before implementation, including:
  • Time per task
  • Processing volumes
  • Error rates
  • Operational effort
• Measure and report realized benefits following solution deployment.
• Track adoption and utilization metrics across deployed AI solutions.
• Prepare adoption, benefits realization, and performance reports for the AI Transformation Director.
• Maintain the regional AI use case portfolio and tracker, including:
  • Status
  • Business owner
  • Adoption levels
  • Benefits realized
  • Enhancement priorities

Key Success Metrics (KPIs)

• Number of qualified AI use cases identified and progressed.
• Percentage of projects successfully completing UAT.
• User adoption rates following deployment.
• Active user engagement and utilization levels.
• Reduction in manual effort and process cycle time.
• Measured improvement in productivity and efficiency.
• Stakeholder satisfaction scores.
• Delivery of accurate and timely benefits realization reporting.
• Quality and completeness of business requirements and documentation.
• Enhancement backlog progression and closure rates.

Experience & Qualifications

• 4 to 7 years of experience in business analysis, process improvement, digital adoption, change delivery, or similar roles.
• Demonstrated experience in requirements gathering and business process documentation.
• Practical understanding of Generative AI tools and their application within business environments.
• Strong written and verbal English communication skills.
• Experience working with stakeholders across multiple countries and time zones.
• Proven ability to facilitate virtual workshops, training sessions, and user support activities.
• Strong analytical skills with the ability to track and interpret adoption and performance data using Excel or equivalent tools.
• Highly organized with the ability to operate independently and manage competing priorities.

Desirable Experience

• Exposure to AI, automation, or digital transformation initiatives.
• Experience within real estate, professional services, consulting, or advisory businesses.
• Familiarity with Microsoft 365, Microsoft Copilot, business intelligence platforms, collaboration tools, and databases.
• Experience using Jira, Azure DevOps, or similar delivery and defect management tools.
• Business Analysis, Change Management, or related professional certifications.

Skills Matrix

Category	Must Have Skills	Good to Have Skills
Business Analysis	Requirements gathering, process mapping, business documentation, stakeholder management	BPMN, Lean, Six Sigma methodologies
AI & Digital	Familiarity with Generative AI tools and use case identification	AI transformation, automation platforms
User Adoption	Training delivery, onboarding, change support, hyper care management	Adoption frameworks, change management methodologies
Testing & Delivery	UAT planning, test script creation, defect logging, feedback management	Jira, Azure DevOps
Data & Reporting	Excel, KPI tracking, benefits realization reporting	Power BI, analytics platforms
Communications	Workshop facilitation, documentation, stakeholder engagement	Executive reporting and presentation skills
Collaboration Tools	Microsoft 365 ecosystem	Copilot, Power Platform, Microsoft Fabric

Key Attributes

• Curious and persistent, with a strong focus on driving adoption beyond deployment.
• Comfortable bridging technical and non-technical audiences.
• Practical and user-centric in problem-solving and decision-making.
• Credible and confident when engaging with senior business stakeholders.
• Self-motivated and capable of operating effectively in a remote, regional environment.