[HCM] Manager, Digital & Innovation

JOB DESCRIPTION:
- Software Engineering & Hands-on Solution Delivery (≈30%)
• Stay hands-on: personally design, write, review and refactor production-quality code across CLD VN's AI, automation and digital initiatives.
• Rapidly prototype, test and ship working solutions to address real business pain points, and unblock the team on complex technical problems.
• Establish and model baseline engineering practices - version control, code review, automated testing, CI/CD and secure development lifecycle - starting lean and maturing over time.
• Own the definition of done and the quality gates that keep CLD VN's codebase maintainable, secure and production-ready as it scales.
- Enterprise Platform, Integration & IT Delivery (≈25%)
• Lead end-to-end delivery of enterprise digital and IT projects - from requirement scoping through build, integration, testing, deployment, operation and iteration.
• Design, build and operate the integration layer connecting AI tools, enterprise systems, data sources and internal workflows.
• Build dashboards, analytics tools and process automation using Python, modern web stacks, Microsoft Power Platform and cloud-based AI services, with production-grade engineering rigour.
• Own the execution environment, operations architecture and DevOps practices across projects, including reliability, observability and cost efficiency.
- AI, Automation & Data Products (≈20%)
• Lead end-to-end delivery of AI, automation and data/digital products, from scoping and solution design to deployment, adoption and iteration.
• Develop and integrate AI-enabled solutions (e.g., Copilot Studio agents, LLM APIs, document intelligence) for internal business use cases.
• Build and maintain data pipelines and foundational data structures to support analytics, reporting and AI use cases.
• In the interim, cover data engineering foundations.
- Technical Leadership, Architecture & Governance (≈15%)
• Own solution architecture across AI and digital initiatives, ensuring alignment with CLD's AI and digital strategy and enterprise best practices.
• Evaluate and select tools, platforms and APIs, and make defensible, commercially grounded build-vs-buy-vs-leverage recommendations.
• Review and enforce technical standards, integration patterns and data governance.
• Prepare technical inputs for management - architecture updates, solution assessments, risk considerations and progress.
• Align CLD VN practices to IT policies and determine the best-fit local implementation; support audits of applications and systems supporting CLD VN requirements.
- Tech Liaison & Citizen Developer Enablement (≈10%)
• Serve as CLD VN's primary technical point of contact with the Digital & Technology Team, navigating shared data infrastructure, system access and cross-entity governance protocols.
• Coordinate API integrations, data pipeline access and system onboarding; represent CLD VN's technical requirements in cross-entity forums.
• Enable the citizen developer / AI builder community by defining safe, reusable patterns, paved-road templates and governance guardrails for low-code builders.
• Provide engineering support, mentoring and technical guidance to AI builders and future team members as the AI & Digital team scales.