Manager, Data & AI Governance at AdvanSix

Hopewell, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

215600.0

Posted On

02 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, AI Governance, Data Stewardship, Master Data Management, Data Quality, Data Lineage, KPI Canon, Risk Controls, Machine Learning Governance, RBAC, RLS, Power BI, Power Platform, DLP, ALM, Executive Communication

Industry

Chemical Manufacturing

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 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. 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.

Responsibilities

The role involves owning the enterprise Data and AI Governance end-to-end, defining the operating model, establishing policies for data management, quality, and access, and governing the safe use of analytics and AI on the Unified Data Platform. This includes partnering with various business units to deliver a standardized, secure, ethical, and compliant data and AI governance system.