AI Business Analyst

WTW group

Lisboa

Hybrid

EUR 55.000 - 75.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Hybrid working options
Competitive remuneration and benefits
Global exposure

Zusammenfassung

Willis Towers Watson in Lisbon/Manila seeks an AI Business Analyst to translate business needs into AI and automation solutions across Retirement markets. You'll shape discovery, define outcomes, and collaborate with business users and technical teams.

You will maintain backlog, run discovery sessions, define test cases, write user stories, and ensure measurable value. Knowledge of Python/SQL and Excel is valued; hybrid work options apply.

Qualifikationen

  • Degree in Business, Technology, Engineering, Data, Mathematics or a related discipline, or equivalent practical experience.
  • 3+ years of experience in business analysis, data analysis, process automation, technical operations or AI workflow development.
  • Proven ability to gather, analyze and document complex business requirements and turn them into working solutions.
  • Strong understanding of Generative AI, LLMs and AI agents, including strengths, limitations and risks.
  • Hands-on experience with Python, SQL or another scripting language to analyze or transform data.
  • Strong Excel skills and practical experience cleaning and reconciling messy datasets.
  • Experience with process mapping, user stories, acceptance criteria and backlog management.
  • Experience in Agile delivery environments.
  • Appreciation of system dependencies, integrations and operational impacts.
  • Strong stakeholder management skills, with the ability to influence constructively.
  • Excellent written and spoken English (mandatory).

Aufgaben

  • Partner with stakeholders to understand business objectives, processes, pain points and opportunities.
  • Facilitate discovery sessions and workshops to gather, analyze and challenge business requirements.
  • Assess, with the Tech Lead, whether a problem is best solved with Generative AI, AI agents, low-code automation or process change.
  • Define the business problem, expected outcomes and success measures before solutions move into delivery.
  • Secure a named business owner for each use case and define test cases and acceptance criteria.
  • Translate business needs into clear, development-ready user stories and process flows.
  • Map business processes and rules for engineers to turn into reusable agent skills.
  • Define AI-specific requirements such as data sources, outputs, quality thresholds and human review steps.
  • Analyze and prepare data from sources like Excel, databases and Microsoft Fabric.
  • Maintain a prioritized backlog and support Agile delivery through refinement and sprints.
  • Identify dependencies, risks and Responsible AI considerations.
  • Lead business testing, validation and readiness.
  • Track delivered solutions against outcomes and share lessons learned across the CoE.

Kenntnisse

Python
SQL
Excel
Stakeholder management
Agile delivery
Requirements gathering

Ausbildung

Degree in Business, Technology, Engineering, Data, Mathematics or related discipline

Tools

Power Automate
Power Apps
Copilot Studio
Microsoft Fabric
Power BI
Fabric IQ

Jobbeschreibung

Description
About WTW

WTW is an award-winning advisory, broking, and solutions company that supports clients worldwide in transforming risk into opportunities for growth. With a rich insurance heritage dating back to 1828, from the Titanic in 1912 to the Moon Buggy in 1971, WTW brings deep industry expertise and longstanding experience.

This role can be based in Lisbon or Manila. Our WTW Regional Delivery Center, in the heart of Lisbon, brings together a strong global team of more than 450 colleagues who deliver operational excellence every day through innovation and streamlined, efficient solutions. In Manila, you will join our delivery team there and work as one team with colleagues in Lisbon and across our markets.

About the role

We are looking for an AI Business Analyst to work with business stakeholders across our Retirement markets and the Retirement AI & Automation CoE, turning business needs into practical AI and automation solutions.

You will shape solutions from discovery and requirements through delivery and adoption, making sure we solve the right problems and deliver measurable value. You will help decide where Generative AI, AI agents or low-code automation fit best, challenge requirements constructively and define the outcomes that guide delivery.

This role suits someone who enjoys solving business problems, understands what AI can and cannot do, and is comfortable working between business users and technical teams.

What you will do
  • Partner with stakeholders to understand business objectives, processes, pain points and opportunities;

  • Facilitate discovery sessions and workshops to gather, analyze and challenge business requirements;

  • Assess, with the Tech Lead, whether a problem is best solved with Generative AI, AI agents, low-code automation or process change;

  • Define the business problem, expected outcomes and success measures before solutions move into delivery;

  • Secure a named business owner for each use case and work with them to define test cases and what a correct output looks like;

  • Translate business needs into clear, development-ready user stories, acceptance criteria and process flows;

  • Map business processes and rules in a way that engineers can turn into reusable agent skills;

  • Define AI-specific requirements such as data sources, expected outputs, quality thresholds, human review steps and evaluation criteria;

  • Analyze and prepare the data that solutions rely on, from sources such as Excel, databases and Microsoft Fabric;

  • Maintain a prioritized backlog and support Agile delivery through refinement, sprint planning, reviews and retrospectives;

  • Identify dependencies, operational impacts, risks and Responsible AI considerations that may affect implementation;

  • Lead business testing, validation and readiness;

  • Track delivered solutions against agreed outcomes and share lessons learned across the CoE.

Qualifications
What we are looking for
  • Degree in Business, Technology, Engineering, Data, Mathematics or a related discipline, or equivalent practical experience;

  • 3+ years of experience in business analysis, data analysis, process automation, technical operations or AI workflow development;

  • Proven experience gathering, analyzing and documenting complex business requirements and turning them into working solutions;

  • Good understanding of how Generative AI, LLMs and AI agents work, including their strengths, limitations and risks;

  • Hands-on experience with Python, SQL or another scripting language to analyze or transform data;

  • Strong Excel skills and practical experience cleaning and reconciling messy datasets;

  • Experience with process mapping, user stories, acceptance criteria and backlog management;

  • Experience working within Agile delivery environments;

  • Appreciation of system dependencies, integrations and operational impacts;

  • Strong stakeholder management skills, with the ability to influence and challenge constructively;

  • Excellent written and spoken English (mandatory), with the ability to explain technical ideas in plain language.

What will make you stand out
  • Experience with low-code automation (Power Automate, Power Apps, Copilot Studio) or programming;

  • Exposure to Microsoft Foundry, Microsoft Fabric / Fabric IQ, Power BI or Microsoft Copilot;

  • Knowledge of retirement, pensions, actuarial or financial services;

  • Business analysis (e.g. IIBA, BCS) or Agile certification.

Why WTW?

At WTW, we offer more than just a job—we offer a career. Here’s what you can expect:

  • Work-Life Balance: Enjoy flexible working hours and hybrid working options to suit your lifestyle.

  • Competitive Compensation: Benefit from an attractive, performance-related remuneration system.

  • Global Exposure: Join an international consultancy with the security of a global corporation and renowned clients.

  • Career Development: Experience a steep learning curve and ample opportunities for individual career growth through on-the-job learning and specialist training.

  • Collaborative Culture: Work in a collegial, appreciative, and dynamic environment where decisions are made together.

  • Impactful Work: Quickly take on responsibility and make an impact with direct customer contact.

  • Community and Celebration: Participate in corporate events and celebrate our successes together.

Join Us!

Be part of a team that values innovation, excellence, and collaboration. At WTW, your career is more than just a job—it’s a journey.

Willis Towers Watson is an equal opportunity employer.

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