About The Position

PAC is a leading global provider of advanced analytical instruments for laboratories and process environments in hydrocarbon processing industries. Customers choose PAC's instruments to provide the cutting-edge technology required to maintain regulatory compliance and to improve productivity. Your Role The Senior Business Analyst / Architect - AI & Enterprise Systems will play a pivotal role in driving PAC's business intelligence and AI strategy. This individual will lead the enablement of AI and advanced analytics within existing enterprise systems — including ERP (Oracle EBS, Hyperion), Incorta, Tableau, Power BI and CRM — to enhance forecasting, analytics, and decision-making. In the long term, this role will define the architectural vision for future AI-driven data applications and pipelines, ensuring that PAC's data ecosystem is scalable, intelligent, and strategically aligned with business goals.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field.
  • 3+ years of experience in business intelligence, data analytics, or enterprise systems integration.
  • 5 years of experience in data warehousing, ETL, and BI architecture principles.
  • Minimum 3 years of experience with a primary business intelligence platform (Power BI, Tableau, Incorta, or equivalent).
  • Experience integrating data from ERP systems (Oracle EBS, Hyperion) and CRM platforms.
  • Proficiency in SQL for data modeling, transformation, and performance tuning.
  • Familiarity with AI/ML concepts and their practical application in analytics and forecasting.
  • Excellent analytical, problem-solving, and communication skills.

Nice To Haves

  • Experience architecting AI or machine learning pipelines using cloud or enterprise tools.
  • Familiarity with Python, PySpark, or similar languages for data transformation or ML integration.
  • Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery).
  • Understanding of financial and operational reporting in a manufacturing or industrial context.
  • Experience working within a multi-entity enterprise environment.

Responsibilities

  • Lead AI-enablement of existing enterprise systems (ERP, Hyperion, Incorta, Tableau, CRM) to enhance forecasting, analytics, and decision-making.
  • Serve as the subject matter expert for data integration and analytics architecture across PAC's business functions.
  • Collaborate with business stakeholders to define, prioritize, and deliver AI and BI initiatives that improve visibility and performance.
  • Develop data models, schemas, and dashboards in BI tools such as Incorta or Tableau, ensuring usability and performance across large data sets.
  • Design and optimize ETL/ELT solutions integrating data from ERP, CRM, and operational systems.
  • Establish standards for data governance, quality, and AI model integration within PAC's enterprise ecosystem.
  • Partner with IT and analytics teams to define the long-term architecture for AI-driven data applications and pipelines.
  • Provide leadership, mentorship, and training to junior analysts and developers on BI and AI technologies.
  • Collaborate with cross-functional teams to identify opportunities for predictive analytics, automation, and intelligent reporting.

Benefits

  • Our benefits are designed to help you move forward in your career, and in areas of your life outside of work.
  • From health and wellness benefits, 401(k) Savings Plan, paid time off, and tuition assistance, we've got you covered with our total rewards package.
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