Digital Transformation Analyst

Zurich Insurance; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Zurich Insurance is seeking a Digital Transformation Analyst to lead AI‑driven transformation initiatives, partnering with business, operations and technology teams to design and implement improved processes. This role spans the full solution lifecycle—from discovery through adoption—working with AI engineers and vendors to deliver measurable business outcomes and sustained operational improvements.

You will thrive in a fast‑paced environment, using data to challenge assumptions, translate

Qualifications

• 3–5 years of experience in Business Analysis and Digital Transformation.
• Strong stakeholder management and facilitation skills.
• Data-driven mindset with analytical problem-solving ability.
• Lean Six Sigma Green Belt certification or equivalent experience.
• Experience translating requirements into user stories and process maps.

Responsibilities

• Lead discovery activities and gather high‑quality requirements.
• Translate business needs into deliverables: PRDs, user stories, process maps.
• Validate opportunities with data and quantify potential benefits.
• Collaborate with AI engineers and vendors to design fit-for-purpose solutions.
• Coordinate delivery across initiatives, manage scope and risks.
• Support backlog management, sprint planning, and reviews.
• Ensure end‑to‑end data flows and integration considerations.

Skills

Business Analysis

Stakeholder Management

Data-Driven Mindset

Lean Six Sigma Green Belt

User Stories

Communication

Tools

SQL

Azure

Power Platform

Power Automate

Copilot Studio

Agent Builder

Job description

The Digital Transformation Analyst will play a key role in delivering Zurich's AI‑led transformation agenda, partnering with business, operations and technology teams to identify opportunities, design solutions and drive successful implementation.

This role goes beyond traditional business analysis. You will support the entire digital solution lifecycle—from opportunity intake and discovery through solution design, development, testing, deployment, hyper‑care and adoption. You will work closely with business stakeholders, AI engineers and vendors to ensure solutions deliver measurable business outcomes and sustainable operational improvements.

We are looking for an analytical, hands‑on problem solver who can navigate ambiguity, challenge assumptions with data and thrive in a fast‑paced transformation environment.

Your Responsibilities

Discovery & Business Analysis

• Lead discovery activities for transformation initiatives by understanding current‑state processes, pain points, risks and improvement opportunities.
• Facilitate workshops and stakeholder discussions to gather, validate and prioritise business requirements.
• Translate business needs into clear and actionable deliverables, including PRDs, user stories, process maps, functional specifications and business cases.
• Use data and process insights to validate assumptions, quantify opportunities and challenge both business and technical perspectives with evidence‑based recommendations.
• Conduct impact assessments and define target‑state operating models, processes and success metrics.

Solution Design & Delivery

• Serve as the bridge between business users and AI engineering teams, ensuring solutions are aligned to business objectives and operational realities.
• Collaborate with developers, architects, vendors and stakeholders to design fit‑for‑purpose digital and AI‑powered solutions.
• Coordinate delivery activities across multiple initiatives, managing scope, dependencies, risks, timelines and stakeholder expectations.
• Support backlog management, sprint planning, prioritisation and solution reviews throughout the delivery lifecycle.
• Ensure requirements are technically sound by understanding end‑to‑end data and process flows from front‑end user experience through back‑end systems and integrations.

UAT & Hypercare

• Develop test scenarios, acceptance criteria and UAT plans to ensure solution readiness.
• Coordinate and facilitate UAT activities with business users, including defect management and resolution tracking.
• Support production deployments and go‑live activities.
• Drive hyper‑care support, monitor solution performance, gather feedback and coordinate issue resolution with delivery teams.
• Track adoption, benefits realization and post‑implementation enhancements.

Change Management & Stakeholder Engagement

• Build strong relationships with business stakeholders, technology and vendors.
• Develop and execute communication, training and business readiness activities to support solution adoption.
• Present project updates, risks, key decisions and outcomes to stakeholders and leadership teams.
• Act as a trusted advisor to business users, helping them understand opportunities to leverage AI, automation and digital capabilities.

Operational Excellence & Continuous Improvement

• Apply Lean Six Sigma methodologies to identify process optimisation, automation and efficiency opportunities.
• Support governance, audit, risk, compliance and reporting requirements across transformation initiatives.
• Maintain project documentation, decision logs and delivery artefacts.
• Continuously identify opportunities to improve processes, user experiences and solution effectiveness.
• Remain flexible and adaptable as priorities evolve and the transformation strategy matures.

Required

Your Skills and Experience

• 3–5 years of experience in Business Analysis, Digital Transformation, Process Improvement, Project Delivery or Operational Excellence.
• Proven experience supporting end‑to‑end project or solution delivery from discovery through implementation.
• Strong stakeholder management and facilitation skills, with the ability to engage both business and technical audiences.
• Excellent analytical and problem‑solving skills with a data‑driven mindset.
• Lean Six Sigma Green Belt certification (or equivalent process improvement experience).
• Experience translating business requirements into user stories, process maps and solution requirements.
• Strong communication and presentation skills, with confidence to challenge assumptions and influence decision‑making.

Preferred

• Experience in insurance, claims, underwriting, finance operations or regulated industries.
• Knowledge of Agile delivery methodologies and project management practices.
• Experience working with AI, automation, digital products or workflow platforms.
• Familiarity with digital stack tools such as SQL, Azure environments and low/no‑code platform Power Platform (Power Automate, Copilot Studio, Agent Builder) or similar technologies.
• PMP, Scrum, Product Owner certification or equivalent project delivery experience.
• Exposure to change management, adoption, training and business readiness activities.