Product Manager - AI-Enabled Platform (Public Sector)

Role Overview

We seek an experienced Product Manager to spearhead the development and planning of digital, AI-driven, and shared technology platforms within JTC. This position involves setting product strategy, crafting a distinct product vision, and managing outcome-focused roadmaps. The Product Manager will treat internal platforms as products offering reusable components, exceptional developer experience, and self-service features that generate measurable value for the business. A strong understanding of AI’s capabilities, constraints, risks, and practical applications is essential to guide responsible AI adoption across business challenges.

Key Duties

• Establish and articulate a clear vision and strategic roadmap for new AI-enabled digital and platform products, aligning with organizational goals and user requirements.
• Lead discovery phases via market analysis, stakeholder engagement, prototyping, and iterative feedback collection.
• Manage internal platforms as scalable, reusable products serving multiple teams under platform-as-a-product principles.
• Build strong value propositions, product concepts, and business cases detailing user benefits, operational impact, financial aspects, risks, and expected outcomes.
• Oversee product lifecycle stages from concept through delivery, launch, adoption, benefits tracking, and ongoing enhancement.
• Leverage customer-centric design thinking to identify user pain points and transformative business process opportunities.
• Prioritize features and roadmap decisions by evaluating user needs, business value, feasibility, costs, and risks.
• Enhance developer experience and promote self-service usage via optimized platform journeys, documentation, training, and feedback mechanisms.
• Facilitate collaborative workshops and decision-making with various stakeholders including business, operations, technology teams, vendors, and leadership.
• Manage conflicting stakeholder interests, maintain alignment on product scope, priorities, timelines, and outcomes without direct authority.
• Work with agile teams to define epics, user stories, criteria for acceptance, sprint objectives, releases, and product increments.
• Apply metrics to measure adoption, outcomes, developer satisfaction, operational stability, budget execution, and business impact; present findings to senior leaders.
• Collaborate with vendors and partners to define solutions, confirm feasibility, control delivery dependencies, and ensure alignment with product goals.
• Assess AI innovations, including generative AI use cases, prompt engineering, human-in-the-loop systems, governance risks, and model limitations.

Qualifications and Competencies

• More than 10 years of experience in product management, digital transformation, new product development, strategy, or consulting roles.
• Proven ability to define and communicate product visions, strategies, roadmaps, and business cases for innovative or internal platform products.
• Expertise in platform-as-a-product management managing scalable internal and shared technology products.
• Hands-on experience with product discovery, user and market research, journey mapping, problem validation, and user-centric design.
• Skilled in managing product lifecycles with tasks including prioritization, launch, adoption monitoring, and iterative improvements.
• Strong stakeholder management, workshop facilitation, conflict resolution, and executive communication skills.
• Proficient understanding and application of Agile, Scrum, Kanban methods, including backlog and sprint management with tools such as Jira.
• Experience enhancing platform developer experience, self-service workflows, onboarding, documentation, and feedback channels.
• Advanced AI literacy covering capabilities, risks, data issues, responsible AI practices, and application to tangible product opportunities.
• Solid business acumen including operational processes, financial oversight, risk management, and process transformation.
• Experience coordinating with external partners and cross-disciplinary teams to deliver viable solutions.
• Exceptional written and verbal communication, capable of producing clear product documentation, reports, and executive updates.
• Ability to manage change and foster platform adoption across multiple teams and disciplines.
• Comfortable navigating ambiguity and shaping product direction through structured discovery and iterative delivery.

Preferred Expertise

• Experience with AI-enabled products, generative AI applications, data products, automation solutions, or digital services in enterprise or public sectors.
• Familiarity with AI product management best practices including prompt engineering, human-in-the-loop designs, governance, and risk assessment concerning large language models.
• Application of lean product development, design thinking, product experimentation, service design, and analytics for validating product hypotheses.
• Competency with collaboration and project tools like Jira, Confluence, Azure DevOps, Miro, Figma, analytics platforms, survey instruments.
• Background in cloud, data, AI, enterprise system deployments, workflow automation, or digital transformation initiatives.
• Experience preparing high-level product strategy documentation, business cases, investment proposals, roadmap presentations, and benefits realization tracking.

Success Indicators

• Clearly framed, validated, and prioritized product opportunities aligned with user needs, value, feasibility, and risk assessments.
• Comprehensive understanding and acceptance of product visions and roadmaps among business, technical, financial, and leadership stakeholders.
• Alignment of stakeholders on priorities, trade-offs, and delivery plans despite differing interests.
• Agile teams maintaining clear backlogs, user stories, acceptance criteria, and iterative delivery plans supporting continuous value creation.
• Tracked and communicated metrics showing platform adoption, developer satisfaction, operational health, benefit realization, and budget efficiency.
• Responsible evaluation of AI product opportunities with attention to governance, user value, human oversight, and technical constraints.

Ideal Candidate Profile

The perfect candidate thrives in uncertain and evolving environments, transforming nascent concepts into defined product strategies and accelerating progression from discovery to delivery. They excel as collaborative leaders and proactive agile practitioners who prioritize speed, experimentation, iterative enhancement, and regular feedback. Outstanding communication abilities, simplification of complex matters, stakeholder alignment, and confident senior-level presentations are also essential.