Data Engineering Manager for Accounts Payables Technology

 Own the end-to-end infrastructure and reliability of all DataNet jobs pulling data from AP transaction processing systems.

- Define and execute the 3 years data architecture roadmap, making team-wide architectural decisions aligned with the broader AP Tech strategy.

- Establish SLAs, monitoring mechanisms, and audit metrics for pipeline health, latency, data completeness, and accuracy.

- Drive root cause analysis for pipeline failures and build automation to reduce operational toil and improve system resilience.

- Partner with AP transaction processing teams to manage upstream data changes, schema evolution, and system migrations.

- Work closely with Operations teams to ensure dashboards and reports meet their daily execution and decision-making needs.

- Champion the adoption of AI/ML and generative AI technologies to enable intelligent pipeline automation, predictive anomaly detection, and AI-powered data insights.

- Evaluate and implement emerging AI capabilities (e.g., auto-healing pipelines, natural language querying, AI-driven data quality monitoring) to future-proof the data platform.

- Independently lead a team of data engineers — hire, develop, coach, and performance-manage across multiple levels (up to L5/L6).

- Foster a psychologically safe, inclusive team environment; model Leadership Principles and delegate to build future leaders.

- Write narratives and strategic documents; participate in OP1/OP2 planning; own the team's charter, vision, and tenets.

- Tackle complex problems of up to 15-engineer scope — triage, break down, plan, and execute solutions; escalate effectively when necessary.

- Drive simplification of delivery processes; reduce repeated work, remove defects, and structure efforts to avoid classic failure modes.