Product Lead - Data/AI

Role Summary

A senior product leader who works directly with the Head of Data Science & AI Products to shape

and execute the product portfolio strategy for our data and AI products. This role owns one flagship

product 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 delivering

measurable outcomes.

Roles and Responsibilities

• Product Vision and Strategy: Define and communicate the vision, strategy, and roadmap for

the flagship product you own, translating business strategy and market insight into a

sequenced plan that balances customer value, business return, and delivery constraints, and

revisiting it as evidence arrives.

• Portfolio Strategy: Partner with the Head of Data Science & AI Products to set and maintain the

strategy across the data and AI product portfolio, defining how products fit together, where to

invest, sunset, or consolidate, and aligning roadmaps and resourcing across product owners

so that the portfolio delivers against business priorities as a whole.

• Backlog Ownership: Own and prioritise the product backlog using explicit prioritisation

frameworks (e.g. RICE, weighted scoring, cost of delay), write and refine user stories and

acceptance criteria, and serve as the team's primary decision-maker for scope and

sequencing.

• Requirements and Discovery: Lead continuous discovery through customer interviews, data

analysis, 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, business

teams, and the delivery team, managing competing priorities, negotiating trade-offs

transparently, and communicating decisions and their rationale in writing.

• Delivery Governance and Measurement: Track progress against objectives and OKRs, manage

dependencies across workstreams, run or support agile ceremonies, and define the success

metrics, instrumentation, and experiments that show whether shipped work delivered its

intended outcome.

• Go-to-Market and Adoption: Partner with client-facing, design, and data teams on launch

readiness, user onboarding, documentation, and adoption tracking, so that features are used

rather than merely released.

• Team Leadership: Lead, coach, and develop the product owners who own the other products in

the portfolio, along with business analysts; review their roadmaps, prioritisation decisions, and outcomes; set standards and templates for product ownership across the team, and build a

culture 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 agile

product ownership or product management with demonstrated end-to-end delivery of a

complex data, analytics, or platform product, and at least 2 years managing or leading other

product 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 the

discipline to validate before building.

• Agile Practice: Strong working knowledge of Scrum and Kanban, backlog management, story

writing, estimation, and release planning, including coordination across multiple teams or

workstreams and familiarity with scaled delivery frameworks.

• Data and Experimentation: Comfortable defining product metrics and OKRs, reading

dashboards, writing basic SQL or working closely with analysts, and designing A/B tests or

measurement 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 data

teams about feasibility, sequencing, and trade-offs, without needing to write code.

• Tooling: Proficiency with product and delivery tooling such as Jira, Confluence, Figma, and

product analytics platforms (e.g. Mixpanel, Amplitude, or BI tools), and with AI tools for research

synthesis and documentation.

• Portfolio and Strategic Thinking: Experience managing or contributing to strategy across

multiple products or a product portfolio, including investment prioritisation across products,

roadmap alignment between teams, and translating company or business-unit strategy into a

portfolio-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 or

consulting context.

• Leadership and Communication: Exceptional written and verbal communication, including

executive-ready roadmaps and decision documents, the ability to influence cross-functionally

without authority, present to executive and client stakeholders, and mentor other product

professionals.

• A Plus: Experience building personalization and recommendation systems, CRM and loyalty

platforms, 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-scale

data platform environments is also valued.

About EGG Digital

EGG 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 artificial

intelligence 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 through

the power of human and artificial intelligence.

About our Services

With 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 Insights

Our wide range of services go from retail & data analytics, insight & media monetization, to being

the 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 clients

and SME to achieve their business goals.