Director of Software Engineering - DESG

About Us: Datacor  is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our  customers’  most difficult problems. We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at  Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications. About the Role: We are seeking a Director of Software Engineering to for Datacor Engineering Software Group (DESG), which encompasses three respected product families: CHEMCAD, Flow Simulation (Fathom, Arrow, Impulse, xStream), and GoldSim.  This role will oversee the technical direction and development operations for these teams, driving modernization, improved software delivery practices, and long-term architectural planning.

The Director will report to the General Manager of DESG and partner closely with Product Management, R&D, and Strategy to align development activities with customer value and business objectives. The right candidate will be an engineering leader with strong technical judgment, modern development process expertise, and a pragmatic approach to evolving legacy systems.   Responsibilities: - Lead and manage software development teams across CHEMCAD, Flow Simulation, and  GoldSim  product lines   - Establish and continuously improve development practices, including version control, code reviews, automated testing, CI/CD, and agile processes   - Own DESG's internal AI adoption strategy – moving the engineering to a deliberate, prioritized approach with respect to AI-assisted development tools and workflows,  staying ahead of the rapidly evolving AI and engineering tooling landscape and translating what's relevant for the team, with clear criteria for what to adopt and how to measure impact .     - Champion an AI-first, growth mindset - pushing the team to experiment, learn continuously, and adapt as tools and practices evolve.   - Drive measurable improvements in throughput, release cadence, and quality using engineering metrics (e. g.