Product Lead - Data/AI

Role SummaryA senior product leader who works directly with the Head of Data Science & AI Products to shapeand execute the product portfolio strategy for our data and AI products. This role owns one flagshipproduct end-to-end while leading a team of product owners who own the remaining products,ensuring the portfolio as a whole is coherent, prioritised against business strategy, and deliveringmeasurable outcomes.Roles and Responsibilities

• Product Vision and Strategy: Define and communicate the vision, strategy, and roadmap forthe flagship product you own, translating business strategy and market insight into asequenced plan that balances customer value, business return, and delivery constraints, andrevisiting it as evidence arrives.
• Portfolio Strategy: Partner with the Head of Data Science & AI Products to set and maintain thestrategy across the data and AI product portfolio, defining how products fit together, where toinvest, sunset, or consolidate, and aligning roadmaps and resourcing across product ownersso that the portfolio delivers against business priorities as a whole.
• Backlog Ownership: Own and prioritise the product backlog using explicit prioritisationframeworks (e.g. RICE, weighted scoring, cost of delay), write and refine user stories andacceptance criteria, and serve as the team's primary decision-maker for scope andsequencing.
• Requirements and Discovery: Lead continuous discovery through customer interviews, dataanalysis, and prototype testing, interrogating stated needs to uncover the underlying problem,and document requirements, PRDs, and user journeys at a level the team can build from.
• Stakeholder Management: Liaise between senior stakeholders, enterprise clients, businessteams, and the delivery team, managing competing priorities, negotiating trade-offstransparently, and communicating decisions and their rationale in writing.
• Delivery Governance and Measurement: Track progress against objectives and OKRs, managedependencies across workstreams, run or support agile ceremonies, and define the successmetrics, instrumentation, and experiments that show whether shipped work delivered itsintended outcome.
• Go-to-Market and Adoption: Partner with client-facing, design, and data teams on launchreadiness, user onboarding, documentation, and adoption tracking, so that features are usedrather than merely released.
• Team Leadership: Lead, coach, and develop the product owners who own the other products inthe portfolio, along with business analysts; review their roadmaps, prioritisation decisions, and outcomes; set standards and templates for product ownership across the team, and build aculture of evidence-based prioritisation.Qualifications
• Educational Background: Bachelor's or Master's degree in Business, Computer Science,Engineering, or a related field.
• Experience: A minimum of 8 years of professional experience, including at least 4 years in agileproduct ownership or product management with demonstrated end-to-end delivery of acomplex data, analytics, or platform product, and at least 2 years managing or leading otherproduct owners or product managers, ideally across multiple products.
• Product Discovery: Practical command of discovery techniques including user interviews,jobs-to-be-done, journey mapping, prototype testing, and opportunity sizing, and thediscipline to validate before building.
• Agile Practice: Strong working knowledge of Scrum and Kanban, backlog management, storywriting, estimation, and release planning, including coordination across multiple teams orworkstreams and familiarity with scaled delivery frameworks.
• Data and Experimentation: Comfortable defining product metrics and OKRs, readingdashboards, writing basic SQL or working closely with analysts, and designing A/B tests ormeasurement plans to evaluate outcomes.
• Technical Fluency: Sufficient understanding of APIs, data pipelines, machine learning and LLM-based features, and cloud delivery to hold credible discussions with engineering and datateams about feasibility, sequencing, and trade-offs, without needing to write code.
• Tooling: Proficiency with product and delivery tooling such as Jira, Confluence, Figma, andproduct analytics platforms (e.g. Mixpanel, Amplitude, or BI tools), and with AI tools for researchsynthesis and documentation.
• Portfolio and Strategic Thinking: Experience managing or contributing to strategy acrossmultiple products or a product portfolio, including investment prioritisation across products,roadmap alignment between teams, and translating company or business-unit strategy into aportfolio-level plan.
• Commercial Acumen: Ability to build a business case, understand pricing and value drivers,and connect roadmap decisions to revenue, cost, and client outcomes in an enterprise orconsulting context.
• Leadership and Communication: Exceptional written and verbal communication, includingexecutive-ready roadmaps and decision documents, the ability to influence cross-functionallywithout authority, present to executive and client stakeholders, and mentor other productprofessionals.
• A Plus: Experience building personalization and recommendation systems, CRM and loyaltyplatforms, marketing technology (customer data platforms, campaign orchestration,marketing automation), or social media and messaging platform integrations (e.g. LINE,Facebook, TikTok). Experience in telecommunications, location or mobility data, or large-scaledata platform environments is also valued.About EGG DigitalEGG Digital is more than a technology company... We are growth accelerators.We believe people are the driving force behind all growth and we blend human and artificialintelligence to unleash the potential of our people.We’re a team of changemakers, never stopping to explore, experiment and stay actively curious.EGG Digital is the digital solutions and services company that catalyzes business impact throughthe power of human and artificial intelligence.About our ServicesWith our offices in Thailand and Malaysia, EGG Digital covers 4 main areas of expertise:
• Media & Communication
• Personalized experience
• AI/ML-Powered Big Data Analytics & Recommendation
• AI/ML-Powered Data Visualization and Actionable InsightsOur wide range of services go from retail & data analytics, insight & media monetization, to beingthe Top 2 Line Reseller and more generally a data, media & mobile specialist. We have plenty of“ready to use” or customized solution platforms (BI, CRM, SMS...) that enable large corporate clientsand SME to achieve their business goals.