Company Overview
[$COMPANY_OVERVIEW]
Role Overview
[$COMPANY_NAME] is hiring a Senior Time Study Technologist to lead the design, execution, analysis and operationalization of time-and-motion studies across manufacturing and logistics lines. You will architect rigorous work measurement programs, implement data collection platforms, and translate raw process telemetry into validated standard times that drive staffing, capacity planning, line balancing, and continuous improvement. This senior individual contributor/technical lead role requires deep expertise in industrial engineering methodologies, hands-on experience with digital time study tools and sensors, and the ability to partner with operations leadership to convert measurements into measurable business outcomes.
Responsibilities
- Design and lead comprehensive time study programs (work sampling, elemental time study, Predetermined Motion Time Systems - PMTS) across high-throughput environments to establish validated standard times and time standards governance
- Develop study protocols, sampling plans, and statistical confidence criteria to ensure reproducibility and defensible time standards
- Select, deploy and maintain data collection systems: digital stopwatch apps, wearable sensors, IoT triggers, video capture, and time-and-motion software; integrate data pipelines into analytics stacks
- Apply advanced time analysis techniques including MTM, MODAPTS, MOST, work sampling, and time series analysis to isolate processing, waiting, and non-value activities
- Create and maintain element-level work breakdown structures and time allocation matrices; author and review standard operating procedures (SOPs) and standard work documents
- Partner with industrial engineering, process engineering, and operations leaders to translate findings into takt time, staffing models, line balancing, labor standards, and throughput forecasts
- Implement quality controls and inter-rater reliability programs; train and certify time study practitioners and observers
- Analyze large datasets using statistical methods (ANOVA, hypothesis testing, control charts) to quantify variability, identify root causes, and recommend countermeasures
- Build dashboards and visualizations to communicate takt, cycle time distributions, utilization, and efficiency KPIs to stakeholders
- Lead cross-functional pilots to validate time standards in production, iterate on measurement methodology, and measure impact on cost, throughput, and quality
- Document Architecture Decision Records (ADRs) for measurement methodology changes and maintain an auditable repository of time study artifacts
Required and Preferred Qualifications
Required:
- Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Research, Human Factors, or equivalent
- 7+ years of experience conducting time studies, work measurement, and labor standards in manufacturing, warehousing, or field service environments
- Proven track record implementing PMTS (MTM/MOST/MODAPTS) or equivalent predetermined motion time systems
- Hands-on experience with digital data collection tools, time study mobile apps, video-based observation tools, or wearable sensors
- Advanced statistical analysis skills and experience using tools such as R, Python (pandas, scipy), Minitab, or JMP
- Strong SQL skills for extracting and transforming time-series and event data from production databases and MES/WMS systems
- Experience translating measurements into staffing models, throughput forecasts, and capacity planning
- Excellent technical writing skills; experience producing SOPs, work instructions, and audit-ready documentation
- Demonstrated ability to lead projects end-to-end and influence cross-functional stakeholders at director level
Preferred:
- Master's degree in Industrial Engineering, Operations Research, Human Factors, or related field
- Experience integrating time study outputs into digital twins, discrete event simulation (e.g., AnyLogic, FlexSim), or optimization models
- Familiarity with IoT platforms, edge sensors, computer vision-based activity recognition, and integrating telemetry into data lakes
- Certifications such as Six Sigma Black Belt, Certified Industrial Engineer, or APICS/CPIM
- Experience with change management in high-variability, unionized environments
Technical Skills and Relevant Technologies
- Time study methodologies: elemental time study, work sampling, PMTS (MTM/MOST/MODAPTS)
- Data & analytics: Python (pandas, numpy), R, SQL, Minitab, JMP, Excel advanced (pivot, VBA optional)
- Data collection & sensors: digital time study apps, wearable trackers, IoT edge devices, video capture systems
- Manufacturing systems: MES, WMS, PLC basics, SCADA integration
- Simulation & modeling: discrete event simulation tools (AnyLogic, FlexSim) and capacity modeling
- Visualization & reporting: Tableau, Power BI, or Looker for KPI dashboards and executive reporting
- Cloud & data infrastructure familiarity: AWS/GCP data services, data lakes, event streaming (Kafka) is advantageous
Soft Skills and Cultural Fit
- Technical leadership: track record of establishing standards, documenting architecture decisions, and mentoring junior engineers
- Stakeholder influence: experience presenting complex statistical findings to operations, finance, and executive teams and driving decisions
- Analytical rigor: meticulous attention to measurement validity, reproducibility and statistical confidence
- Pragmatic operator mindset: ability to balance statistical purity with production constraints and deliver actionable recommendations
- Effective communicator: concise reporting, clear SOP writing, and practical training delivery for shop-floor practitioners
- Continuous improvement orientation: passion for lean manufacturing, value-stream mapping, and measurable impact
Benefits and Perks
Salary range: [$SALARY_RANGE]
- Comprehensive medical, dental and vision insurance
- 401(k) with company match and financial planning resources
- Paid parental leave and flexible paid time off
- Professional development stipend, certification reimbursement, and tuition assistance
- Relocation assistance where applicable and travel reimbursement for multi-site projects
- On-site or near-site ergonomic and safety programs, well-being resources, and employee assistance programs
Equal Opportunity Statement
[$COMPANY_NAME] is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, gender identity, sexual orientation or any other legally protected characteristic.
Location
This position is based on-site at [$COMPANY_LOCATION] and requires regular presence in manufacturing or operations facilities to conduct observations, lead pilots, and work directly with production teams. Occasional travel to other facilities is expected; flexible scheduling may be required to capture shift variability.
How to Apply
To apply, please submit your resume and a cover letter outlining three representative time study projects you led, the methodologies used, and the quantifiable outcomes.