Tech – Product Ops: Signals2Action - Shaping Product Ops for MDDI

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Role

Product Ops

Division

Economic & National Development

Level

Undergraduate

Internship Duration

6 months

Project Description

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The intern will join MDDI’s Product Ops workstream to support the development of a more evidence-based and outcome-driven operating model for MDDI digital products. MDDI is strengthening how digital products are managed beyond initial delivery. This includes helping product teams define clearer outcomes, track meaningful metrics, maintain trustworthy evidence, document decisions, and connect product reporting to timely follow-up actions. The intern may support work on product scorecards, product report cards, metric definitions, baseline tracking, product operating cadences, knowledge management, user feedback, adoption tracking, and the preparation of materials for product, steering committee, and management discussions. The intern may contribute across MDDI products and AI-enabled initiatives, including both communications-related and corporate functions-related products, and other emerging product or AI workstreams as priorities evolve. The role is suitable for someone interested in how product teams use data, governance, operations, stakeholder management, and institutional knowledge to improve public sector digital services. Working alongside product managers, engineers, data scientists, policy and operations stakeholders, the intern will gain hands-on exposure to how Product Ops helps digital products move from activity reporting to evidence-based decisions, clearer ownership, better follow-through, and stronger product outcomes.

Learning Outcomes

Emerging Product Operations Practice: Learn how a new Product Ops function is shaped in practice, including how operating cadences, issue tracking practices, product documentation, decision records, and follow-through mechanisms are introduced and refined. Issue Intelligence and Customer Insight: Gain hands-on experience helping product teams consolidate issues, user feedback, risks, pain points, and improvement ideas that may be scattered across emails, meetings, chats, documents, service channels, and stakeholder conversations. AI-Augmented Product Operations: Explore how AI tools can support Product Ops activities such as summarising feedback, clustering issues, identifying recurring themes, generating product updates, improving knowledge retrieval, and helping teams maintain better operational awareness. Technical Product Understanding: Develop the ability to understand technology-enabled products at an operational level, including system constraints, data flows, dependencies, user impact, and engineering trade-offs, so that technical issues can be translated into clearer product actions. Knowledge Management and Stakeholder Coordination: Contribute to better ways of capturing product knowledge, decisions, actions, onboarding materials, and lessons learned while supporting product teams, senior management discussions, steering forums, and governance reviews.

Prerequisites

- Pursuing a degree in Business, Information Systems, Computer Science, Data Science, Public Policy, Economics, Operations Management, Communications, or a related discipline. - Strong analytical and structured thinking skills, with the ability to organise ambiguous information, identify patterns, and translate scattered signals into practical recommendations. - Good written and verbal communication skills, with the ability to prepare clear documentation, concise updates, and materials for both technical and non-technical stakeholders. - Comfortable working with digital tools, spreadsheets, documents, presentation materials, collaboration platforms, and basic data analysis or reporting workflows. - Able to understand technology-enabled products at a conceptual level, including basic software, data, system integration, AI, or digital service concepts, and comfortable working with technical stakeholders to clarify issues and dependencies. - Familiarity with product management, product operations, issue tracking, user research, service design, knowledge management, AI-enabled tools, dashboards, or public sector digital products will be advantageous but is not required.