Johnson Controls-posted 3 months ago
$109,000 - $182,600/Yr
Full-time • Senior
Remote • San Antonio, TX
5,001-10,000 employees
Publishing Industries

As a global leader in smart, healthy and sustainable buildings, Johnson Controls is on a mission to reimagine the performance of buildings to serve people, places, and the planet. The company is seeking a systems-oriented, design-driven expert in systems analysis and optimization. This role involves architecting, analyzing, and redesigning front-line procurement and operational workflows, as well as delivering strategy-based pay optimization for various workforce segments. The position emphasizes the importance of routing analysis, simulation modeling, and optimization studies to enhance workforce decisions and operational efficiencies. The successful candidate will work closely with Total Rewards and Front-Line teams to embed data and models into critical workforce decisions, ultimately impacting the P&L and driving efficiencies across the enterprise.

  • Continuously assess and improve core business decision workflows across the enterprise, focusing on front-line operations.
  • Build optimization models for core HR processes and business operations, including front line talent procurement and technician routing.
  • Develop simulations for what-if analysis and net sales impact assessments.
  • Redesign decision flows to improve productivity, quality, costs, delivery, fairness, speed, morale, and environmental health and safety practices.
  • Identify and address poor data access, unclear accountability, and decision fatigue that create failure points for critical processes.
  • STEM degree (Data Science, Math, Operations Research, Economics, Statistics) or similar field.
  • 8+ years in analytical decision making, operations design, or process transformation.
  • Deep fluency in descriptive and predictive analytics, machine learning, statistical modeling, and network analysis.
  • Strong background in systems thinking, human-centered design, and structured problem solving.
  • Technical proficiency in Python or R.
  • Technical proficiency in at least one optimization language (Pyomo, AIMMS) and solver (Gurobi, GLPK, CPLEX).
  • Experience partnering with data science, people analytics, and product teams.
  • 4+ years of Shiny App development and deployment, including experience using CSS and HTML.
  • Experience working within HR and across adjacent functions such as org design and workforce planning.
  • Familiarity with MLOps principles and model lifecycle governance.
  • Prior experience in a high-growth, data-driven organization or consulting environment.
  • Ability to translate between technical teams and business stakeholders.
  • Understanding of fairness, transparency, and data ethics in HR analytics.
  • Track record of solving problems requiring systems thinking and a continuous improvement mindset.
  • Competitive salary and bonus plan
  • Paid vacation/holidays/sick time
  • Comprehensive benefits package including 401K, medical, dental, and vision care
  • On the job/cross training opportunities
  • Encouraging and collaborative team environment
  • Dedication to safety through our Zero Harm policy
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