What are the responsibilities and job description for the Senior Business Analyst/Architect - AI & Enterprise Systems position at PAC?
Who We Are
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.
Key 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.
Education and Experience
Required:
- Education: 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.
Preferred:
- 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.
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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Privacy
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PAC is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.