Own AdvanSix’s enterprise Data and AI Governance end to end. Define the operating model with a council and stewards, establish policies for master data management, lineage, quality, and access, ratify the KPI canon, and govern the safe and compliant use of analytics, AI and machine learning, and agentic automation on the Unified Data Platform. Partner with Operations and OT, Finance, Supply Chain and Logistics, HSE and Quality, Commercial, Cyber and IT, and platform teams to turn strategy into measurable, governed outcomes.

Deliver a business outcome driven data and AI governance system that:

• standardizes definitions, lineage, and data quality through master data management and a KPI canon,
• ensures secure, ethical, and compliant analytics and AI through clear policy, risk controls, approvals, and auditability, and
• accelerates adoption by making certified data products and approved AI agents easy to discover and trust.

Responsibilities:

Enterprise data stewardship

• Publish and maintain a living Enterprise Data Governance that links business value such as Yield, Logistics, and Energy to data products, platform patterns, and the operating model, reviewed quarterly with senior leadership.
• Define data product standards including contracts, versioning, slowly changing dimensions handling, documentation, certification criteria, and deprecation rules.

Governance and master data management

• Chair the Data Strategy and Governance Council and stand up a steward network across Operations, Finance, Supply Chain, HSE, Quality, and Commercial.
• Establish policies for quality, lineage, access and privacy using RBAC and RLS, retention, and critical data elements, and implement data quality scorecards with remediation playbooks.
• Prioritize and deliver master data domains with survivorship rules, golden records, and reference data governance.

KPI canon and analytics alignment

• Lead cross functional definition of the KPI canon and reconciliation rules.
• Ensure BI semantic models and agents consume only certified datasets; partner with Reporting and BI on performance SLAs, usage telemetry such as MAU and WAU, and adoption campaigns.

AI and agent governance

• Define risk tiers such as informational, operational, and decision assist, approval workflows, and documentation including model and agent cards.
• Set evaluation standards including offline metrics and controlled pilots, drift monitoring, rollback requirements, and ethics and privacy guidelines for machine learning and Copilot agents.
• Align with the Power Platform Center of Excellence for DLP and ALM so agents and apps use Unified Data Layer APIs and certified datasets rather than uncontrolled sources.

Architecture and risk

• Codify Unified Data Layer first patterns from landing to curated to semantic, OT and IT decoupling with no control network reads, and data sharing agreements with vendors.
• Run risk reviews with Cyber and IT and Legal for data sharing, third party models, and sensitive domains including PII and HSE.

Change management and literacy

• Launch data and AI literacy programs tied to live use cases, publish “How we measure” and “How to act” guides, and host monthly decision reviews that use governed data.

Basic Qualifications:

• Minimum 10 years' experience across data strategy, governance, and analytics, including proven leadership of council and steward models and master data rollouts.
• Demonstrated success defining KPI canons, data product standards, and certification processes at enterprise scale.
• Working knowledge of AI and machine learning governance including model lifecycle, risk tiers, monitoring and drift, documentation, and ethics and privacy.
• Familiar with manufacturing and OT data realities such as historians like PHD and PI, LIMS, and DCS and PLC, as well as SAP S4 HANA and SAP DataSphere concepts.
• Comfortable with BI semantic layers in Power BI and Center of Excellence guardrails in the Power Platform including DLP and ALM.
• Excellent executive communication and change leadership skills.

Preferred Qualifications:

• Prior ownership of an AI governance framework from policy to telemetry and experience with audit or regulatory interactions.
• Master data platform experience, lineage and catalog tooling, and exposure to TMS and WMS, HSE, and quality data.
• Lean or Six Sigma or similar continuous improvement background.

The base rate range for this role is $143,800 to $215,600.

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.