Whiteshield: Product Manager - Data & AI Products

ABOUT US |

Whiteshield is a global policy advisory and AI economics firm known for our ability to respond to global challenges rapidly and incisively. We use the most advanced tools and technology and combine them with our team of leading international experts to engage decision-makers in tackling society's most significant challenges. We are recognized for our rapid decision support, innovation, data science algorithms and deep policy expertise. We are specialists in "connecting the dots" between policy, business and technology.

Quantum X is Whiteshield’s product business, hosting our PaaS and SaaS product offering. Partnered with Google Cloud, we bring advanced solutions to governments around the world to drastically improve citizen outcomes in areas such as employment, trade, and education. Our flagship product is the Career Navigator, which is a fully AI-enabled one-stop-shop for a competitive workforce, providing citizens and organisations with a wide range of services such as job matching, upskilling, career guidance, and financial support.

We are seeking an experienced and driven Product Manager to join Quantum X and lead the development of data-intensive, analytical products.

This role is central to shaping products that transform complex datasets into insightful, scalable, and impactful digital solutions in the labour and education space You will operate at the intersection of data science, engineering, and policy, working closely with cross-functional teams to define product strategy, deliver robust analytical capabilities, and ensure measurable impact.

This is a high-ownership role with significant responsibility and the opportunity to build products that directly influence policy decisions and societal outcomes globally.

WHAT YOU WILL DO |

Product Strategy & Vision

• Define and drive product vision, strategy, and roadmap aligned with business and client objectives
• Identify opportunities to leverage data, analytics, and AI to solve complex policy and economic challenges Analytical Product Development

• Lead the development of data-driven features, including dashboards, models, and decision-support tools
• Work closely with data scientists to define analytical frameworks, models, and data pipelines
• Translate complex analytical outputs into intuitive product experiences for end users Product Discovery & Problem Structuring

• Break down complex policy and business problems into scalable, data-backed product solutions
• Conduct user research, stakeholder interviews, and market analysis to inform product direction Experimentation & Data-Driven Iteration

• Design and run experiments (A/B testing, feature validation, model testing)
• Use data and analytics to validate hypotheses and drive continuous improvement Requirements & Delivery

• Translate business and analytical requirements into clear specifications for engineering, data science, and design teams
• Own the product lifecycle from ideation through development, deployment, and iteration Performance & Data Ecosystem Ownership

• Define KPIs and build measurement frameworks for product success
• Ensure strong integration with data infrastructure to enable tracking, analytics, and insights generation Cross-Functional Collaboration

• Work closely with engineers, data scientists, designers, and policy experts
• Act as the bridge between technical teams and non-technical stakeholders Stakeholder & Client Engagement

• Engage with internal leadership and external stakeholders, including government counterparts
• Translate client needs into product features and communicate analytical insights effectivelyWHO YOU ARE |

• Entrepreneurial and ambitious, with your own perspective and ideas, and with an eagerness to contribute to the success of the studio and the organisation.  
• Highly independent and self-motivated, with strong leadership skills and a get-things-done attitude to deliver results. 
• Passion for the public good and eagerness to make a societal impact with their work, ideally with a particular interest in economic development, workforce development, and education.
• Highly creative and eager to push the boundary on innovation and really rethink the standard within traditional (policy) areas.
• Eager to work in a fast-paced, high-growth environment that challenges you to excel. Requirements

WHAT YOU NEED |

• 4-8+ years of experience in product management, ideally in data, analytics, or AI-driven products
• Strong understanding of data analytics, data science workflows, and quantitative problem-solving
• Experience working with:
• Data platforms, dashboards, or analytical products
• Data pipelines, metrics, and experimentation frameworks
• Familiarity with machine learning or statistical modelling concepts (hands-on coding not required, but strong literacy expected)
• Proven ability to work closely with data science and engineering teams
• Experience delivering complex, data-intensive products end-to-end Technical & Product Skills

• Experience with tools such as Jira, Confluence, Figma, or similar
• Strong understanding of product analytics, A/B testing, and experimentation methodologies
• Solid grasp of UI/UX principles, especially for data-rich interfaces
• Hyperawareness of AI tools in the development process, including experience with tools such as Cursor and ClaudeCore Capabilities

• Exceptional analytical thinking and problem-solving skills
• Strong communication and stakeholder management skills
• Ability to manage multiple priorities and deliver under pressure NICE TO HAVE |

· Background in economics, public policy, data science, engineering, or related fields

· Experience in consulting, public sector, or economic development projects

· Familiarity with cloud platforms (e.g., Google Cloud) and modern data architectures

Benefits

WHY WHITESHIELD |

• Work on high-impact projects with governments and large institutions
• Be part of a team pushing the boundaries of AI-driven software development
• Operate in a high-trust, high-autonomy environment
• Build products that go beyond dashboards - real-world impact at scale