Murphy-Hoffman Company (MHC Kenworth)

Data Scientist

• Architect and build MHC’s core data platform across ingestion, transformation, storage, and serving layers for batch and streaming workloads
• Model data for analytics and product use cases, creating documented reusable datasets and a trusted semantic layer
• Establish data quality, lineage, observability, and governance practices
• Build pipelines and feature/embedding stores for analytics, ML, and LLM applications
• Turn operational and document data into metrics, signals, predictions, and document understanding
• Build and evaluate models and retrieval systems, including RAG over documents
• Partner with Product to design and ship LLM-powered features from prototype to production with guardrails, evaluation, and cost controls
• Manage, mentor, and grow a team of 2–4 data and AI engineers
• Set technical standards and a pragmatic data and AI roadmap
• Make build-vs-buy decisions and balance speed with maintainability
• Collaborate with Product, Engineering, and business stakeholders
• Review code and designs, prototype difficult problems, and maintain engineering quality
• Deliver a prioritized roadmap and early data-layer wins within 90 days
• Establish a reliable data foundation and first AI/LLM-powered feature within six months
• Build a steady stream of data products and AI features within one year

Lead, Data AI – Engineering

Financial Planning and Analysis

• Serve as a strategic thought partner to the CEO and leadership team
• Own the full finance function, including FP&A, accounting and controllership, treasury, and corporate development
• Lead annual planning, forecasting, and value-creation processes with the CEO, board, and PE ownership
• Partner with sales and marketing on pricing, go-to-market economics, pipeline health, and growth investment tradeoffs
• Support commercial discussions, contract negotiations, and deal desk activity
• Manage financials, performance, and budgeting at the unit level across a multi-product portfolio
• Drive product-line and customer-segment growth and profitability
• Reset cost structure, re-underwrite plans, or reposition the business as needed
• Lead M&A across financial and business due diligence, deal structuring, and post-close integration
• Own capital structure, cash management, and investment discipline
• Build, develop, and retain a high-performing finance team
• Contribute to company-wide strategy as a senior leadership team member
• Act as a cultural ambassador for MHC and lead through influence

Lead, Data AI – Engineering

Chief Financial Officer