AdvanSix · 2 hours ago
Manager, Unified Data Platforms & AI Engineering
AdvanSix is seeking a strategic leader for their digital data platform, responsible for the design, build, and operation of advanced analytics and AI applications. This role involves managing a small team and coordinating with vendors to deliver a Unified Data Layer and production-grade ML services.
Responsibilities
Own the UDL reference architecture
Define and operate secure OT/IT integration patterns
Partner with SAP teams to integrate S/4HANA and SAP DataSphere into the semantic layer strategy
Lead engineering for ingestion (batch/CDC/streaming), transformation (SQL/PySpark), testing, observability, and SLAs
Implement reusable data product patterns: naming conventions, contracts, quality rules, SCD handling, and documentation “readmes.”
Expose governed access for Power BI, APIs, and Copilot/agents; prevent direct system scraping
Stand up ML platform services: feature store, model registry, experiment tracking, inference endpoints, monitoring (drift, accuracy, latency), and A/B controls
Partner with Data Science to productionize models with SLOs and rollback runbooks
Establish CI/CD for data and ML (branching, environments, approvals, blue/green)
Implement observability: pipeline health, freshness, DQ, lineage coverage, cost dashboards, and alerting/On-Call
Enforce RBAC, secrets management, PII/HSE classifications, data retention, and DLP alignment with the Power Platform CoE
Manage a 3–5 FTE engineering team; recruit, coach, and develop talent
Direct vendor pods for ingestion, historian connectors, DataSphere modeling, and BI enablement; define DoD, SLAs, and knowledge transfer to insource sustainably
Collaborate with Data Governance/MDM, Reporting & BI, Automation, Cyber/IT, and plant controls teams
Embed data quality rules, lineage, KPI canon, and MDM keys/survivorship into pipelines
Champion documentation, runbooks, post-incident reviews, and change control—especially for OT integrations
Qualification
Required
Minimum 7 years' in data/platform engineering with 3+ years leading teams or tech leads
Proven delivery of a Lakehouse or equivalent enterprise data platform and streaming/CDC pipelines
Strong hands-on with Azure data stack; or equivalent in AWS/GCP with ability to translate to Azure
Deep SQL and one major programming language (Python preferred); PySpark experience for large-scale transforms
Practical MLOps/DevOps: Git-based CI/CD, IaC, model registry/monitoring, containerized services, observability
Understanding of OT systems and historians, DCS/PLC data, OPC UA/MQTT patterns, and OT cybersecurity considerations (ISA-95/99)
Working knowledge of SAP S/4HANA data structures and SAP DataSphere semantic modeling; ability to partner with SAP teams
Familiarity with Power BI consumption patterns (semantic models, RLS) and integration with certified datasets/APIs
Preferred
Manufacturing or process industry experience strongly preferred
Company
AdvanSix
AdvanSix is a chemical industry
H1B Sponsorship
AdvanSix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (1)
2021 (1)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$12MKey Investors
U.S. Department of Agriculture
2024-09-16Grant· $12M
Recent News
2025-12-24
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