Collaboration Manager

Responsibilities

• ▸ Solution Design & Discovery
• Lead requirements gathering with customer stakeholders - translating business pain points, compliance obligations, and operational workflows into a clear platform design.
• Conduct data landscape audits and process mapping to identify where TrustedHub's DataVerse, KnowledgeVerse, and ActionVerse capabilities create the most value.
• Co-create the transformation roadmap with the customer - sequencing quick wins alongside the longer-term AI maturity journey.
• Act as the translator between customer business language and TrustedHub's technical and engineering teams.
• ▸ Implementation Leadership
• Work hand-in-hand with internal implementation, engineering, and data teams to ensure designs are delivered to specification, on time, and within scope.
• Own the commissioning process for each platform module - ingestion and certification, knowledge enrichment, agentic workflow deployment - ensuring each phase is validated before progressing to the next.
• Manage risk, dependencies, and change requests throughout implementation, keeping both customer and internal teams aligned.
• Ensure every deployment meets Evidence Act compliance and governance standards from day one.
• ▸ Long-Term Relationship Stewardship
• Serve as the customer's trusted, single point of continuity for the life of the engagement - often spanning 5 to 10 years and beyond.
• Conduct regular health checks and value reviews, proactively identifying where the platform is underused, where new workflows should be introduced, or where the customer's needs have evolved.
• Build deep institutional knowledge of each customer's operations, politics, and people - becoming the person they call before they call anyone else.
• Own renewal, expansion, and account health - ensuring TrustedHub remains indispensable, not just installed.
• ▸ Guiding the AI Transformation Journey
• Continuously assess each customer's AI maturity - identifying their current state of classical, rules-based operations and the realistic next step toward AI-infused processes.
• Champion incremental autonomy: helping customers move from human-in-the-loop oversight to higher degrees of agentic automation as confidence and governance maturity grow.
• Bring new TrustedHub capabilities, features, and use cases to existing customers - ensuring they evolve with the platform rather than freeze at initial deployment.
• Educate customer teams -from operational staff to senior leadership - on AI concepts, change management, and what it means to work alongside autonomous agents.
• Identify and develop new agentic workflow opportunities within the account, working with the customer to keep expanding the value of their AI investment year over year.

Requirements

• ▸ Must-Have
• 5+ years of experience in implementation management, customer success, solution consulting, or technical account management for enterprise software, SaaS, or data platforms.
• Demonstrated experience gathering business and technical requirements directly from customer stakeholders and translating them into actionable solution designs.
• Proven ability to work cross-functionally with engineering, data, and product teams to deliver complex, multi-phase implementations.
• Experience managing long-term, multi-year client relationships - not just one-off project delivery.
• Strong understanding of data governance, compliance, or regulated-industry operating environments (financial services, healthcare, insuran

Additional Information

About TrustedHub TrustedHub is Singapore's AI Data Foundry - and the nation's only Evidence Act-certified digitization and agentic AI platform. Since 2001, we have processed over one billion sheets of data for regulated industries including financial services, healthcare, insurance, government, logistics, and legal. Our four-platform Multiverse -Trusted DataVerse, Trusted KnowledgeVerse, and Trusted ActionVerse - transforms raw documents into AI-ready vector embeddings, autonomous workflows, and cross-organization agent economies. We don't sell software licences. We build the sovereign AI foundations that organizations live inside of, for years. Why This Role Exists - and Why It's Not Called 'Project Manager' A project has a start date and an end date. Our relationships don't. When a customer commissions Trusted DataVerse, KnowledgeVerse, or ActionVerse, they are not buying a deliverable - they are beginning a 5 to 10+ year transformation of how their organization thinks, decides, and operates. The work doesn't stop at go-live. It evolves: new data sources to ingest, new agentic workflows to design, new degrees of autonomy to introduce as trust is earned. That is why we call this role the Collaboration Manager, not the Project Manager. Your mandate isn't to deliver and hand off. It's to stay - to be the one constant relationship a customer can call on as their, year after year, from classical computing operations into AI-infused ways of working.

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