At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.

Consider applying here, if you want to:   

Work in an entrepreneurial and dynamic environment with a chance to make an impact.   Develop lasting relationships with great people.   Have the opportunity to build a satisfying career.

We offer competitive compensation and benefits packages for our Team Members.

Digital Technology Manager

Digital Technology Manager is responsible for planning, developing and managing the deployment of Predictive Maintenance Systems and Emerging Tech solutions for all of Niagara’s fixed assets. This position will own the product end-to-end, create and manage product vision, strategy and roadmap, and lead a team to deliver high quality products. This role will include performing extensive research on predictive systems and emerging technologies that contribute to a digitalized manufacturing landscape and tailor it to Niagara’s use cases.  In addition, it includes managing condition monitoring technologies and design continuous health monitoring systems through various IIoT solutions to ensure all predictive maintenance related metrics and projects are maintained, completed and the company maintenance culture is at par with Industrie 4.0.

Detailed Description

Digitalization Strategy Development and Execution - Lead the development of a long-term Industry 4.0 roadmap, specifically tailored for reliability and maintenance across Niagara’s manufacturing plants, to enhance operational efficiency and align with global best practices. Develop actionable plans to integrate Industry 4.0 technologies such as IoT (Internet of Things), AI (Artificial Intelligence), big data analytics, robotics, and advanced automation into the manufacturing asset management framework. Establish and track Key Performance Indicators (KPIs) that measure the success of Industry 4.0 initiatives, such as reduction in unplanned downtime, improvements in Overall Equipment Effectiveness (OEE), and increased asset utilization. Data Acquisition & Edge computing for CBM/PdM Systems Development - Define data acquisition requirements and partner with OEM’s to make data available at the edge for computingOversee development of data processing and aggregation at the edge for continuous monitoring systemsDesign infrastructure and layout for Predictive analytic systems through Continuous Monitoring of critical asset parametersOversee development of highly scalable data management systemsEnsure CBM and PdM systems meet business requirements and industry practicesExplore applications of field data sources for acquisition and new uses for existing dataImprovise data set processes for data modeling, mining and productionResearch new data processing technologies and software engineering tools to integrate into existing structuresRecommend ways to improve data reliability, efficiency and qualityApp Development – Oversee development of native Windows/MacOS/Android applications including UI frontend and backend.Ensure validation of system and protocol design and development.Manage requirements for deployment of solutions org-wide in a timely manner.Workforce Enablement and Cultural Shift - Training Programs: Create and deliver comprehensive training modules to upskill employees on Industry 4.0 technologies, fostering a culture of innovation and adaptability. Change Management: Lead initiatives to encourage adoption of digital tools across all levels of the organization, minimizing resistance to change. Autonomous Maintenance: Promote a culture where frontline workers are empowered to use digital tools for proactive maintenance tasks. CBM/PdM Systems Integration - Drive Niagara’s manufacturing digitalization journey from Asset Management stand-pointIdentify areas of opportunities for digitalization within Asset ManagementRepresent Asset Management in Niagara’s IIoT’s champions committee to effectively communicate requirements on Predictive Maintenance systemsPartner with cross-functional teams to enhance component life cycle through development of SMART tracking systemsLead integration initiatives of CBM/PdM systems, Continuous Health Monitoring, Performance monitoring, CMMS systems into one platformDefine requirements for digital twin and connect asset health data for visualization on multiple platformsPredictive Modeling - Research data science tools & platforms and recommend most suitable infrastructure for organizationDefine data flow/traffic requirements from edge to cloud for modelingPartner with IT team to define centralized data storage schema for model buildingOversee development of ML models for predictive analytics over component/assembly failureDesign closed loop systems for deploying ML models at the edge for real-time actionable insightsManage programs to build high-performance algorithms, prototypes, predictive models and proof of conceptsManage cross functional project goals with a team of data architects, modelers and IT team membersOversee development of interactive front end for display of statistical data along with asset health KPI’s and actionable insightsDefine stakeholder communication systems for on-time decision making of required maintenance actionEmerging Tech Applications – Identify areas of opportunity that leads to increase in Asset Reliability by applying Emerging Technologies. Explore latest industry trends and identify technologies, which can provide creative and sustainable solutions/products for improving overall Asset Reliability.Lead the process of requirements gathering and configuration to meet the needs of customers – this will include working with cross-functional team members within business and ITDefine solutions, provide estimates on effort and risk, and evaluate technical feasibilityIdentify and articulate initiative scope, benefits and ROI for the solution.Develop and communicate a point of view on complex technical topics. Align multiple domains, both technical and non-technical, on this common vision.Understand customer and system requirements and understand basic architectural approaches to know how new technologies are to be applied.Work in an AGILE development environment and deliver innovative solutions to cater the need of the hour.Design systems and processes to maximize use cases of AR/VR applications into Asset Reliability with end goal of developing digital twin models for Niagara’s fixed Assets.Digital Technology Manager is estimated to travel 20-40%Please note this job description is not a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice.

Work Experience/KSA’s

Required:3-5 years  – Experience in the Manufacturing Industry or other related field2-4 years  – Experience in Position including Systems Development experience

*experience may include a combination of work experience and education

Preferred:5-7 years  –   Experience in execution of data science lifecycle/Emerging tech in high-speed manufacturing industry, experience with data science and visualization tools.3-5 years  – Experience in Position including systems development experience            

*experience may include a combination of work experience and education

Preferred Competencies and Skills

Understanding of PLC/SCADA systems such SIEMENS S7, ALLEN BRADLEY, and Ignition etc.Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.Preferred experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.Proficiency in using query languages such as SQL, Hive, Pig. EtcProficiency in, but not limited to:Microsoft Office Applications – Word, Excel, PowerPoint, Outlook, Project, Visio, etc.Good applied statistics skills, such as distributions, statistical testing, regression, etc.Advanced understanding of data acquisition and processing tools and techniques and developing algorithms on common platforms to generate outputsUnderstanding of latest Emerging technologies such as AR/VR/XR, Object/Image Recognition, Machine Learning and AI, IIoT, Blockchain etc.Experience integrating software solutions in manufacturing environmentsExperience in creating business or consumer applications and delivering large and complex business/technology initiatives.Experience with product management in an agile software product development environment.Experience on interaction Design, UI workflows, UI wireframes, Visual Design, etc. on multi-platformsBasic scripting and programming skillsAble to translate data into recommendable actions to senior managementStrong analytical and problem solving skillsSelf-motivated with a proven record of taking initiativeAble to work with minimal supervisionDetail-oriented with excellent oral and written communication skillsAble to execute tasks in a very dynamic and ever-changing environmentExercise sound judgment and ability to work effectively with a diverse workforce

Education

Minimum Required: Bachelor's Degree in Computer Science/Industrial/Automation/Data Science/Mechanical or other related fields or equivalent experiencePreferred: Master's Degree in Computer Science/Industrial/Automation/Data Science/Mechanical Engineering

Typical Compensation Range

Pay Rate Type: Salary

$130,380.85 - $189,052.24 / Yearly

Bonus Target: 10% Annual

Benefits

https://careers.niagarawater.com/us/en/benefits

* *Los Angeles County applicants only** Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws.

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