ESSENTIAL JOB FUNCTIONS:
Operations Intelligence and Decision Automation
Translate operational knowledge into AI-driven operational playbooks aligned to TKEs Digital Operations Center (DOC) model.
Develop and maintain scalable decision models that support and automate operational decisions, including:
Work assignment and dispatch
Workforce capacity and utilization planning
Skill-to-job matching
Backlog prioritization and service sequencing
Apply advanced analytics, statistical modeling, and optimization techniques to enable predictive and prescriptive decision-making.
Create intelligence layers that provide a unified operational view across workforce, workload, and capacity.
AI and Intelligent Automation
Design and implement agentic AI solutions that autonomously:
Analyze operational context
Recommend decisions and next-best actions
Trigger or orchestrate actions within enterprise systems
Design AI agents that:
Support branch, call center, and shared services teams with operational questions and actions
Guide users through approved workflows when direct system access is limited
Proactively surface exceptions, risks, and operational recommendations
Embed automation and intelligence directly into TKE One and enterprise platforms, avoiding standalone or manual tools.
Data and Operational Insights
Integrate and analyze data from TKE One, ERP, and other enterprise systems to support enterprise-wide embedded intelligence.
Identify operational patterns, bottlenecks, constraints, and inefficiencies impacting field service execution and branch performance.
Establish an AI-first approach to data quality improvement, enabling data cleansing through operational execution rather than manual cleanup cycles.
Process Transformation and Efficiency
Identify, prioritize, and eliminate manual, Excel-based, paper-driven, and swivel-chair processes across:
Field Service
Branch Operations
Call Centers
Sales Support
Shared Services
Enable self-service operations intelligence to reduce escalations, manual intervention, and dependency on centralized support teams.
Ensure solutions are scalable, practical, and aligned with operational workflows used by field and branch teams.
Cross-Functional Partnership and Change Adoption
Partner with IT, Product, Operations, and Process Excellence teams to define and embed intelligence directly into operational workflows and enterprise systems.
Support change adoption by ensuring solutions and outputs are intuitive, actionable, and easy for end users to interpret.
Communicate analytical findings, recommendations, and business insights effectively to both technical and non-technical stakeholders.
Business Impact and Performance Measurement
Quantify and track business impact of automation and intelligence initiatives, including:
Productivity gains
Cost reduction
Service cycle time improvements
Backlog reduction
Workforce planning and scheduling efficiency
Technician productivity and utilization
EDUCATION and EXPERIENCE:
5-8+ years of progressive experience in operations intelligence, data science, advanced analytics, or intelligent automation, with a demonstrated focus on embedding analytics and automation directly into operational workflows
Experience working with:
Largescale operational, workforce, and transactional datasets
Timeseries and eventdriven operational data
Advanced statistical modeling, optimization, and decision science
SQL and advanced data manipulation techniques
Agentic AI and AIdriven automation patterns that move beyond traditional rulebased or reporting solutions
Strong experience in field service, industrial service, or assetintensive operating models, with a deep understanding of realworld execution constraints, workforce dynamics, and operational tradeoffs.
Familiarity with cloud-based data and AI platforms (Azure, AWS, or GCP)
Demonstrated success replacing Excel, manual, or paperbased processes with durable, automated, and systemembedded intelligence that delivers measurable productivity, efficiency, or cost improvements.
Strong ability to translate complex and ambiguous operational problems into:
Scalable decision models
Automated workflows
Embedded intelligence that frontline teams can act on with minimal training
Proven experience working crossfunctionally with Operations, Branch leadership, Call Centers, Shared Services, IT, and Process Excellence teams, influencing without authority and aligning technical solutions with how the business actually operates.
Clear communicator who can explain analytical outputs to non-technical stakeholders.
Strong focus on efficiency, automation, and measurable business value.
Bachelors degree in Computer Science, Data Engineering, Industrial Engineering, Operations Research, or a related quantitative field is required.
Masters degree in Data Science, Artificial Intelligence, Information Systems, Operations Research, or a related discipline is strongly preferred.
What makes us special
At TK Elevator, we offer more than just a role, we offer a place to grow, thrive, and make an impact.
Provided they meet all eligibility requirement under the applicable plan documents, employees will be offered
Medical, dental, and vision coverage
Flexible spending accounts (FSA)
Health savings account (HSA)
Supplemental medical plans
Company-paid short- and long-term disability insurance
Company-paid basic life insurance and ADandD
Optional life and ADandD coverage
Optional spouse and dependent life insurance
Identity theft monitoring
Pet insurance
Company-paid Employee Assistance Program (EAP)
Tuition reimbursement
401(k) Retirement Savings Plan with company match: Employees can contribute a portion of their pay on a pre-tax or Roth basis. The company provides a dollar-for-dollar match on the first 5% contributed.
Additional benefits include:
15 days of vacation per year
11 paid holidays each calendar year (10 fixed, 1 floating)
Paid sick leave, per company policy
Up to six weeks of paid parental leave (available after successful completion of 90 days of full-
