Job Description

AdvanSix plays a critical role in global supply chains, innovating and delivering essential products for our customers in a wide variety of end markets and applications that touch people's lives, such as building and construction, fertilizers, plastics, solvents, packaging, paints, coatings, adhesives, and electronics. Our reliable and sustainable supply of quality products emerges from the vertically integrated value chain of our three U.S. based manufacturing facilities. AdvanSix strives to deliver best-in-class customer experiences and differentiated products in the industries of nylon solutions, chemical intermediates, and plant nutrients, guided by our core values of Safety, Integrity, Accountability and Respect.



Please view a short video about our company here, AdvanSix Video. For more information on AdvanSix, please visit our website at http://www.advansix.com



Why work at AdvanSix?



We provide benefits that are industry competitive and focused on employee well-being Total Rewards program includes a competitive compensation, health, dental, vision & wellness programs, paid vacation, 401K with company matching, health savings programs, disability & life insurance, employee assistance program Tuition reimbursement for continued education, certifications, training, and development Work within a fast paced and innovative company, meeting passionate colleagues and partners with diverse backgrounds and experiences

Position Summary:

This strategic role will own the design, build, and run of AdvanSix's digital data platform, spanning IT and OT, and the engineering lifecycle for advanced analytics and AI applications. This leader manages a 3-5 person team and coordinates embedded vendor pods to deliver a governed Unified Data Layer, robust data products, and production-grade ML services that power operations and corporate functions.

Job Responsibilities:

Platform & Architecture

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.

Data engineering & productization

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.

ML & MLOps

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.

Reliability, security, and FinOps

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.

Team & vendor leadership

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.

Governance & quality

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.

Required qualifications:

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. Manufacturing or process industry experience strongly preferred.

The expected base pay for this position is $130,700 - $196,100



We offer a range of market-competitive total rewards that include periodic pay rate adjustments based on market competitiveness. Hired applicants will be eligible for paid holidays, paid time off including vacation, eligibility to purchase company stock, tuition reimbursement, and a 401K with a competitive company match. Certain roles may be eligible for discretionary financial benefits such as incentive pay, equity awards, and participation in a deferred compensation plan.



Hired applicants will be eligible for medical, dental and vision insurance, flexible spending and health savings account eligibility, employer-provided short term disability benefits, eligibility to purchase long term disability benefits, employer-provided basic life insurance and eligibility to purchase voluntary life coverages.



The pay range, incentives and benefits listed above are general guidelines only and?not a guarantee of?total compensation or benefits. The final offer will depend on multiple factors, including but not?limited?to, the responsibilities of the job,?experience, education, knowledge, skills,?and abilities, as well as the job location, applicability of a collective bargaining agreement, length of service, internal equity, and?alignment with market?data. The incentive pay is dependent on your role, business results and individual performance. All aspects of total rewards offered are subject to the terms and conditions of the specific plans.



At AdvanSix, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past work experience doesn't perfectly align with every qualification in the job posting, we encourage you to still apply. You may just be the right candidate for this or other roles.



AdvanSix is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, veteran status, or any other protected classification.

To all agencies:

Please, no phone calls or emails to any employee of AdvanSix about this opening. All resumes submitted by search firms/employment agencies to any employee at AdvanSix via-email, the internet or in any form and/or method will be deemed the sole property of AdvanSix, unless such search firms/employment agencies were engaged by AdvanSix for this position and a valid agreement with AdvanSix is in place. In the event a candidate who was submitted outside of the AdvanSix agency engagement process is hired, no fee or payment of any kind will be paid.