Role Overview:

We are looking for an AI-first Engineering Manager to own and evolve our Financial Systems capability, spanning our full financial and operational technology stack - ERP, order management platforms, procurement, payment systems, and the integrations that connect them.

This role leads a team of SDEs, Technical and Business Systems Analysts while serving as the strategic bridge between Finance, Supply Chain, Operations, and Engineering - driving AI-led productivity and transformation as a core expectation.

Team & Leadership Impact:

- Partner with Finance, Supply Chain, and Operations to translate business needs into scalable, AI-augmented system solutions.

- Lead investment conversations with senior leadership, including trade-off decisions between new capability delivery, platform stability, and AI tooling.

- Manage system integrators and software vendors, ensuring quality, accountability, and alignment to the AI-first roadmap.

People Leadership:

- Lead and develop a team of SDEs, Technical and Business Systems Analysts, setting a high bar for AI tool adoption.

- Build a data-driven team culture by tracking velocity, AI adoption rates, and time-to-resolution.

- Develop career paths and growth plans that reflect both domain expertise and AI-first working practices.

Fan & Customer Impact:

- Govern process design, configuration, and customizations across platforms to protect stability, auditability, and upgrade paths.

- Oversee UAT, release management, and production support with minimal disruption during high-volume periods.

- Ensure financial and operational controls, audit readiness (SOX), and data integrity across all owned systems.

Innovation & Problem Solving:

- Drive AI-augmented delivery by identifying manual and repetitive workflows and leading their replacement with AI-assisted approaches.

- Set AI guardrails and standards by defining responsible-use policies, data security guidelines, and quality checkpoints.

- Evaluate new financial technology platforms and AI tools, making build-vs-buy recommendations.

Required Qualifications:

- 812+ years of ERP functional and/or technical experience, with strong hands-on expertise in Finance (O2C, P2P, GL, AR, AP) and/or Supply Chain.

- Hands-on AI practitioner with active daily use of tools such as GitHub Copilot, ChatGPT/Claude, or Oracle AI.

- Proven ability to lead automations leveraging cloud ERP native capabilities, low-code/no-code platforms, or AI-native tooling.

- Strong understanding of end-to-end business processes and cross-system data flows.

- Demonstrated ability to build and retain high-performing teams with a culture of ownership and AI-first delivery.

- Exceptional prioritization and communication skills across technical and non-technical audiences.

- Experience ensuring financial and operational controls, SOX audit readiness, and data integrity.