Associate Architect, Business Solutions

Role Description

Hypertherm’s Data & AI Business Analyst conducts business process and preliminary cost/benefits analysis to align information technology solutions with digital initiatives. The Data & AI Business Analyst will:

• Provide guidance (technology and process), training, and daily support to business operations and product innovation.
• Help our business partners leverage data assets within our enterprise data lake to drive business decisions and optimize our products as well as operations.
• Design data and AI solutions and provide direction on delivering the same.
• Own data lineage and/or pipeline within the enterprise data lake.

Qualifications

• Master’s in Computer Science or Data Analytics or 4+ years of relevant experience.
• Expertise in Python, SQL, SparkSQL, pySpark, Azure (Resource Groups, ADF, Purview, EventHub), DataBricks, Power BI and other technologies as appropriate.
• Good understanding of statistical models and assessment of uncertainty.
• Familiarity with AI, ML (supervised & unsupervised) and Deep Learning techniques and their applications.
• Experience working within a SCRUM team that includes but not limited to business and functional team subject matter experts.
• Value across the enterprise and accelerate digital transformation as a key stakeholder.
• Subject matter expertise (content, processes, and procedures) within given value streams associated with enterprise applications.
• Ability to Analyze, define, and develop solution of end-to-end business processes, drive continuous improvement to streamline such business processes to achieve operational excellence in a team environment cross-functionally (Business and Technical) within the assigned value streams.
• Resolve production issues and support a set group of business processes.
• Support formulation of long-term strategy (process and technology) and executes plan in partnership with customers and other IS teams.
• Contribute to the research and selection of new technologies as well as learn and apply them to solve business problems with limited guidance from senior team members.
• Lead the documentation of data assets within our data lake using Purview in partnership with business stakeholders.
• Adhere to and promote business process framework and contribute to its continuous improvement.

Requirements

• PhD in Data Analytics domain or 8+ years’ experience of relevant experience.
• Expertise in Scala, R, XML, Java, Linux, Unix, DataBricks (Serverless, dedicated and Apache Spark pools).
• Experience in working with natural language processing (NLP) and building computation models.
• Feature engineering, model selection and tuning.

Benefits

• Collaborative, 100% employee-owned culture.
• Profit-Sharing and Employee Stock Ownership (ESOP).
• Five days/year paid Community Service Time.
• Strong commitment to Environmental Stewardship.
• Stable, growing organization with a no-layoff philosophy.