- Singapore
Kerja Sepenuh Masa, Vice President, AI Solutions Lead di SMBC Group - Maukerja
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Key Responsibilities:
Business Discovery and AI Product Shaping
Business Discovery and AI Product Shaping
- Partner with business teams to identify pain points, understand user journeys and prioritize AI opportunities against strategic value, feasibility and adoption potential.
- Translate business needs into clear product concepts, solution scope, user stories, success measures, delivery roadmaps and rollout plans.
- Lead workshops, demonstrations and design sessions to validate requirements, shape the user experience and build stakeholder alignment.
- Own the solution journey from discovery and prototype through testing, launch, adoption and post-launch improvement.
- Design and configure practical agentic AI solutions using Microsoft AI Foundry, Copilot Studio, Power Automate and approved coding-enabled tools such as Claude Code.
- Create prompts, agent instructions, knowledge grounding, user interactions and automated flows for approvals, notifications, document generation, logging, retries and exception handling.
- Connect solutions with SharePoint, Teams, Outlook and approved enterprise data or services using secure APIs and connectors in partnership with IT and platform teams.
- Ensure designs incorporate permission-aware grounding, role-based access, maker-checker controls, audit logs, source traceability and appropriate human oversight.
- Define test scenarios and acceptance criteria with the business, Test Engineer and control functions, covering output quality, usability, controls and operational readiness.
- Coordinate SIT and UAT, triage feedback and defects, prioritize fixes and confirm readiness for launch.
- Apply appropriate coding and configuration standards, environment variables, solution packaging and controlled promotion across Dev, Test, UAT and Production.
- Maintain release notes, deployment checklists, regression evidence and traceability so that changes remain controlled and supportable.
- Plan and execute business rollout, including pilot groups, communications, demonstrations, training, user support and hypercare.
- Define and track adoption, usage, quality, turnaround time and business outcome measures to assess whether the solution is delivering value.
- Use user feedback, monitoring and operational data to prioritize enhancements and improve the product backlog.
- Coordinate diagnosis of flow failures, latency, data-access issues and exceptions with technical teams, and ensure that fixes are validated and communicated.
- Collaborate with the Product Manager, Test Engineer, architects, IT and security teams, platform owners and vendors to estimate work and deliver sprint commitments.
- Maintain a clear product backlog, delivery plan, dependencies, decisions and risks, ensuring that business priorities remain visible throughout delivery.
- Provide practical solution direction and hands-on support in configuration, prompting, workflow design and issue resolution where required.
- Communicate solution choices, progress, risks and trade-offs clearly to business sponsors, users and technical stakeholders.
- Maintain solution designs, interface specifications, configuration records, deployment notes, test evidence, support runbooks and known-error documentation.
- Provide knowledge transfer, administrator guidance and production support handover to BAU teams.
- Maintain traceability from requirements and controls through build, testing, release and operational monitoring.
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering or a related technical field.
- 7–12 years of relevant experience in AI product delivery, digital transformation, business solution design, enterprise automation or technology consulting, including ownership of solutions from discovery through rollout.
- Hands-on delivery experience with Copilot Studio and Power Automate, including APIs/connectors, SharePoint and secure enterprise integration.
- Working coding capability in Python and familiarity with JavaScript or TypeScript, sufficient to prototype, configure, review and troubleshoot AI solution components, integrations and workflows.
- Practical familiarity with REST APIs, JSON, Git-based version control, authentication concepts, environment configuration and controlled release practices.
- Experience building LLM-based applications such as RAG solutions, copilots, knowledge assistants, document intelligence or workflow agents.
- Experience with prompt engineering, model or agent evaluation, grounding, tool use, guardrails and human oversight.
- Demonstrated ability to lead business testing, manage feedback and defects, coordinate fixes and support rollout in regulated enterprise environments.
- Strong stakeholder management skills and the ability to bridge business requirements, architecture, engineering, testing, security and operations.
- Experience in banking, financial services or another regulated industry with strong data, security, audit and change-control requirements.
- Experience leading cross-functional AI product or solution workstreams while remaining hands-on in design, configuration, testing and rollout.
- Exposure to Azure services such as Azure Functions, Logic Apps, API Management, Key Vault, Application Insights and DevOps pipelines.
- Familiarity with Responsible AI, model risk, privacy, regulatory expectations and operational resilience.
- Relevant certifications such as Microsoft Certified: Azure AI Engineer Associate, Power Platform Solution Architect Expert, Power Platform Developer Associate, Azure Developer Associate or equivalent recognised AI/cloud credentials.
Peringatan Penting
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