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Software Engineering Manager - Financial & SCM Systems

23 days ago 2026/10/17
Other Business Support Services
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Job description

Engineering Manager, Financial & SCM Systems


AI-First  ·  Financial Systems Engineering  ·  People Manager


AI-First Role: This role is expected to actively use, champion, and govern AI tools across the team. AI fluency is a core competency — not a future initiative.


About the Role


We are looking for an AI-first Engineering Manager to own and evolve our Financial Systems capability. This role spans our full financial and operational technology stack — ERP, order management platforms, procurement, payment systems, and the integrations that connect them. You will lead a team of SDEs, Technical and Business Systems Analysts, drive AI-led productivity and transformation, and serve as the strategic bridge between Finance, Supply Chain, Operations, and Engineering.


This is not a role for someone who thinks of AI as a future initiative. You will use AI tools daily, expect your team to do the same, and actively measure the impact on delivery speed, quality, and cost.


Key Responsibilities


Financial Systems Ownership


• Own the technology roadmap for financial and operational systems — ERP, order management platforms, procurement, payment systems, and the integrations that connect them — aligned to business priorities and peak-season readiness
• Govern process design, configuration, and customizations across platforms to protect stability, auditability, and upgrade paths
• Ensure financial and operational controls, audit readiness (SOX), and data integrity across all owned systems
• Oversee UAT, release management, and production support with minimal disruption during high-volume periods
• Drive functional stability and incident resolution, including structured root cause analysis for recurring issues

Team Leadership & Development


• Lead and develop a team of SDEs, Technical and Business Systems Analysts across technical and functional disciplines
• Set a high bar for AI tool adoption — ChatGPT/Claude, GitHub Copilot, Oracle AI — and coach team members on weaving these into daily workflows
• Build a data-driven team culture: track velocity, AI adoption rates, and time-to-resolution; use these metrics to drive coaching and improvement
• Develop career paths and growth plans that reflect both domain expertise and AI-first working practices

AI-Led Transformation


• Drive AI-augmented delivery: identify manual and repetitive workflows across the team and lead their replacement with AI-assisted approaches — AI-generated specs, Copilot-assisted code, AI-powered test generation, anomaly detection
• Set AI guardrails and standards: define responsible-use policies, data security guidelines, and quality checkpoints for AI tool use within a financial systems context
• Measure and report AI impact: track productivity gains, error reduction, and time savings attributable to AI adoption; present results and recommendations to senior leadership

Business Partnership & Stakeholder Alignment


This job post has been translated by AI and may contain minor differences or errors.
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