Lead Data Business Analyst at Thoughtworks

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Roadmaps, Stakeholder Engagement, Agile Mindset, Release Planning, Product Backlog Management, Data Discovery, AI Ethics, Continuous Development, KPI Tracking, Business Goals Understanding, Requirements Elicitation, Business Process Definition, Value Hypotheses, AI Use Case Architecture, Data Lineage Documentation, Synthetic Data Generation

Industry

Information Technology & Services

Description

What happens when you have fascinating clients with challenging problems on the one hand and passionate software developers looking to build future-focused solutions on the other? This in-between is where Business Analysts reside, acting as a bridge between the client and team. You will establish the outcomes software must achieve, assess how it will be used, and then generate bold ideas with our developers to create custom applications. You will work with clients across a variety of sectors and ensure the business-critical software solutions we develop deliver real business value every time. *Thoughtworks Singapore will be shortlisting applicants who have a current right to work in Singapore, i.e. Singapore citizen or Singapore Permanent Residency (PR) only due to the nature of business.* Job responsibilities Understand a client’s business problems to build, maintain, and evolve product roadmaps that generate impactful, differentiating solutions. Engage with and influence senior business stakeholders, facilitating discovery workshops to outline business vision, objectives, and value hypotheses for large-scale transformations. Apply an agile mindset to iteratively define release plans and drive the identification of "slices of value," ensuring work is delivered incrementally. Liaise between the client and multidisciplinary teams—including SMEs, C-suite executives, developers, and architects—to manage the product backlog and advocate for shared outcomes. Assess the "as-is" situation and collaborate with clients to create high-value artifacts such as personas, epics, and stories within agile transformation teams. Lead work breakdown and backlog refinement activities, including specialized Experimentation backlog management to navigate the R&D nature of AI projects. Lead the evolution of the analysis community by integrating Data Lifecycle Management and AI ethics into the standard agile toolkit while sharing knowledge on complex data discovery. Evangelize 'Continuous Development' as it applies to evolving AI models and automated workflows, keeping a close eye on software delivery and team collaboration. Take accountability for tracking whether delivered solutions are achieving intended business outcomes and KPIs, while encouraging open communication and transparency. Job qualifications Technical Skills Proven ability to work with stakeholders to understand business goals and identify where data, reporting, automation, predictive analytics, or AI can improve outcomes. Expertise in eliciting and documenting business, functional, data, and non-functional requirements, including reporting, dashboard, and semantic specifications. Skilled in defining business processes and target-state workflows, translating complex business language into clear specifications for technical delivery teams. Experience shaping business cases and value hypotheses for data and AI initiatives, including the definition of KPIs and success measures through discovery workshops. Ability to architect AI use cases, including user journeys, prompt engineering strategies, guardrails, human review points, and responsible AI considerations. Technical proficiency in mapping source-to-target requirements and data definitions to drive high-quality data products and downstream AI models. Expertise in documenting data lineage and metadata requirements to ensure the traceability and explainability required for AI decision-making. Competency in identifying requirements for synthetic data generation or data augmentation when real-world datasets are insufficient or biased. Experience working with governance teams to clarify data ownership, privacy, and security while supporting UAT, change management, and business adoption. Professional Skills You enjoy coaching, have led a team and are an advocate for sharing knowledge with others. You have a knack for prioritization, obtaining buy-in from stakeholders and resolving conflicts as they arise. You’re resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Responsible Use of AI in Recruitment At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. About Thoughtworks Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.

Responsibilities

The Lead Data Business Analyst will act as a bridge between clients and development teams, establishing software outcomes, assessing usage, and generating custom application ideas to deliver real business value across various sectors. Responsibilities include building and evolving product roadmaps, engaging senior stakeholders, defining release plans iteratively, and managing the product backlog in collaboration with multidisciplinary teams.