Develop and lead the company’s AI and automation roadmap aligned with business goals.
Identify opportunities to streamline workflows, improve decision-making, and reduce operational friction through AI.
Drive adoption of AI tools and workflows across departments, including training and change management.
Establish AI standards, governance frameworks, and playbooks across the organization.
Design and implement agentic and sub-agent workflows across key business processes.
Build and maintain automations using platforms such as n8n, Make, Zapier, and Claude Code.
Lead business process mapping and redesign initiatives to ensure workflows are optimized prior to automation.
Architect and build AI-driven ERP and operational systems to support workflow automation, reporting, and analytics.
Create dashboards and reporting systems to support executive and operational decision-making.
Build internal dashboards and reporting pipelines using Looker Studio and related tools.
Design and manage structured databases, data environments, and reporting pipelines.
Work with tools and systems including: Notion databases, Snowflake, Google BigQuery, Looker Studio.
Develop analytics models and forecasting tools where appropriate.
Build and maintain advanced AI workflows using: LangChain or LlamaIndex, Retrieval-Augmented Generation (RAG) pipelines, Vector databases such as Pinecone, Weaviate, or Supabase.
Lead API integrations between internal and external systems.
Implement automations using: Webhooks and REST architectures, Python scripting for automation, Workflow orchestration tools.
Support containerized and scalable deployments using Docker or similar tools.
Evaluate infrastructure requirements for reliability and scalability of internal tools.
Ensure data integrity, security, and responsible use of AI.
Implement access controls, auditability, and accountability in automated systems.
Establish AI standards and operational playbooks across the organization.
Evaluate vendors and select best-in-class tools and platforms.
Build internal knowledge by training teams and enabling adoption.
Develop and maintain a long-term data architecture strategy.

Requirements

Significant experience in AI automation, workflow orchestration, or systems engineering.
Deep expertise in API integrations and automation tools.
Experience building production-grade automation or data systems.
Strong knowledge of data analytics, reporting, and dashboards.
Experience evaluating and implementing emerging AI technologies.
Excellent problem-solving, communication, and systems-thinking skills.
Experience building AI systems, Agentic workflows, ERP, or internal operational systems.
Experience building reporting dashboards that use Ai for data analytics and synthesis.
Background in supply chain, manufacturing, or CPG operations is a plus.
Experience implementing AI governance or data governance frameworks.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI automationworkflow orchestrationAPI integrationsdata analyticsreportingdashboardsautomation toolsPython scriptingdata architectureagentic workflows

Soft Skills

problem-solvingcommunicationsystems-thinkingleadershipchange managementtrainingorganizational skillsdecision-makingcollaborationevaluation