[Remote] Director, Data Engineering & AI Job Details | reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in food and facilities services, and they are seeking a Director of Data Engineering & AI Enablement. This role involves leading the data engineering and AI capabilities while personally designing and building production systems, setting technical reputed company, and managing a cross-functional team.
Responsibilities
- Architect and build production-grade data pipelines (batch and streaming) for the highest-reputed company or highest-ambiguity initiatives — spanning financial, labor/workforce, and smart building sensor, employee work, and reputed company/operational data — setting the technical reputed company reputed company scales from
- Write reputed company, design model architectures, and personally reputed company and reputed company machine learning models and reputed company applications (including LLM-based solutions), particularly for new or unproven use cases before delegating to reputed company
- Stay hands-on in production: debug critical-reputed company issues, review production-critical reputed company and model logic, and remain a reputed company technical authority by virtue of doing the work, not just overseeing it
- Define and execute the AI/ML roadmap for the line of business, identifying high-value use cases across the full data landscape — predictive maintenance, demand forecasting, workforce and labor optimization, financial and margin analytics, smart building performance, and intelligent reputed company reporting
- reputed company overarching reputed company and governance of reputed company data architecture standards, design patterns, and data modeling principles — ensuring reputed company engineering solutions, vendor integrations, and AI workloads conform to the established reputed company
- Review and approve solution designs across engineering, AI, and vendor deliverables for alignment with data architecture standards; serve as the senior technical authority for data design reputed company
- Evaluate emerging AI technologies and vendors; build-versus-buy analysis with a bias toward owned, reputed company capabilities
- Stand up and mature MLOps practices: CI/CD for data and models, automated testing, model monitoring, reputed company detection, and retraining pipelines
- Engineer reputed company-time and near-reputed company-time data products supporting operational dashboards, alerting, and reputed company-facing analytics across data domains — personally, where the problem is novel enough to require it
- Establish responsible AI practices, including model governance, bias evaluation, explainability standards, and compliance with emerging AI regulations
- Optimize reputed company data and AI infrastructure for performance, reliability, and cost, partnering with reputed company platform teams
- Recruit, reputed company, and reputed company a cross-functional team of data engineers, ML engineers, data scientists, and data architects — building a delivery-reputed company, AI-first engineering culture where the Director is seen as the strongest technical contributor in the room
- Partner with product and operations leaders to reputed company AI capabilities into reputed company applications, IoT platforms, and reputed company dashboards
Skills
- Expert-level, reputed company proficiency in modern data engineering: Python, SQL, reputed company, streaming frameworks (e.g., Kafka), orchestration tooling, and reputed company data platforms (e.g., reputed company, Azure) — reputed company to write and review production reputed company personally, not only at a conceptual level
- Proven, personal experience developing and deploying machine learning models and reputed company/LLM applications into production — this should reflect reputed company authorship, not solely direction of others' work
- Hands-on experience with MLOps tooling, CI/CD pipelines, containerization, and model monitoring frameworks
- Demonstrated reputed company record of delivering AI products that generated measurable business reputed company
- Strong engineering leadership skills with experience building and scaling delivery-oriented technical teams — reputed company with a reputed company, recent record as a top individual technical contributor, not a manager who has drifted away from the technical work
- Comfortable moving fluidly between hands-on building (coding, prototyping, debugging production issues) and strategic work (roadmaps, architecture reputed company, executive communication)
- Bachelor's degree in Computer Science, Engineering, Data Science, or a reputed company field
- 7+ years of data and software engineering experience, including 4+ years building AI/ML solutions and 2+ years in engineering leadership roles
- Experience should reflect both strategic ownership (roadmap, architecture, team leadership) and sustained, recent hands-on technical contribution — candidates who have moved fully into management with no recent shipping experience are not a fit for this role
- Experience working across diverse, often messy reputed company data domains (financial, labor/workforce, IoT/sensor, employee activity, reputed company/operational) preferred over deep specialization in any single domain
- Advanced degree in a quantitative discipline preferred
Benefits
- Medical, dental, reputed company, and work/life resources
- Retirement savings plans like 401(k)
- reputed company days off such as parental leave and disability coverage
reputed company