Sr. Manager - Digital Product & Reliability (Reading)
Carpenter Technology Corporation
Carpenter Technology Corporation is a leading producer and distributor of premium specialty alloys, including titanium alloys, nickel and cobalt based superalloys, stainless steels, alloy steels and tool steels. Carpenter Technology’s high-performance materials and advanced process solutions are an integral part of critical applications used within the aerospace, transportation, medical and energy markets, among other markets. Building on its history of innovation, Carpenter Technology’s wrought and powder technology capabilities support a range of next-generation products and manufacturing techniques, including novel magnetic materials and additive manufacturing.Principal Purpose of Position: The Sr. Manager – Digital Product & Reliability leads the strategy, architecture, and scaling of digital capabilities that drive asset reliability, maintenance effectiveness, and operational uptime across manufacturing operations.This role combines product leadership, digital solution architecture, and data/AI enablement to transform maintenance and reliability from reactive execution to predictive and data-driven operations.Operating at the intersection of Maintenance, Reliability Engineering, Operations, Supply Chain, and Digital/Data teams, this role is accountable for translating reliability and asset management practices into scalable digital products, governed data foundations, and intelligent decision-support capabilities.The role also provides leadership in evaluating and applying modern digital, AI, and automation technologies, ensuring solutions are practical, scalable, and aligned to enterprise architecture and business value.Key Outcomes of the Role:Improved asset availability and reduced unplanned downtimeStandardized, digitally enabled maintenance and reliability processes across sitesHigh-quality, governed, and reusable data products supporting reliability use casesIncreased adoption of AI-driven insights in maintenance planning and executionOptimized spare parts availability at lower total inventory costScalable foundation for predictive, prescriptive, and autonomous reliability operationsEffective selection and application of modern digital and automation technologies to drive measurable business valuePrimary Responsibilities: Digital Product Strategy & RoadmapOwn the digital product vision, roadmap, and backlog for maintenance and reliability capabilitiesTranslate reliability strategies into clearly defined digital use cases and scalable solutionsDesign modular, reusable capabilities that can be deployed across plants and asset classesEnsure alignment with enterprise data standards, platform architecture, and interoperability requirementsBalance near-term value delivery with long-term scalability, standardization, and AI readinessDigital Solution Architecture & Technology EnablementStay current with emerging digital, AI, and automation technologies and assess applicability to manufacturing reliability use casesEvaluate and recommend technologies based on business needs, scalability, and return on investmentDefine scalable solution patterns in collaboration with architecture and engineering teamsEnsure interoperability across enterprise systems including EAM/CMMS, SAP, IoT platforms, data platforms, and analytics toolsDrive reuse of components, services, and data models to avoid siloed or fragmented solutionsGuide build vs. buy decisions and vendor solution selectionEnsure digital solutions are designed with data, analytics, and AI consumption in mindAsset Integrity & Reliability EnablementDigitally enable key reliability practices, including asset criticality, RCM, FMEA, PM optimization, and defect eliminationEnsure processes are standardized, structured, and digitized across sitesApply structured problem-solving techniques and data-driven analysis to improve asset performanceEmbed decision-support capabilities into maintenance workflowsWork Management StandardizationLead digital enablement of end-to-end work management processesDrive consistency in work identification, planning, scheduling, execution, and closureEnsure high-quality, standardized data capture across maintenance activitiesEstablish closed-loop feedback mechanisms to improve execution quality and data reliabilityMRO Inventory & Spare Parts EnablementLead digital enablement of MRO inventory and spare parts managementImprove master data quality and linkage between assets, maintenance plans, and materialsEnable risk-based spare parts strategies aligned to asset criticalitySupport inventory optimization, service-level improvement, and cost controlCollaborate with Supply Chain teams to ensure alignment between maintenance and materials planningReliability Data Products & GovernanceOwn reliability-focused data products including asset master, maintenance history, condition monitoring, and failure analyticsDefine and enforce standardized data models, naming conventions, and governance practicesEnable federated data ownership while maintaining enterprise-wide consistency and qualityEnsure data products are discoverable, reusable, secure, and fit for reporting, analytics, and AI useDrive transformation of raw operational data into actionable business insightsAI & Advanced Analytics EnablementEducation and/or Training: Bachelor’s degree in Engineering, Technology, or a related field requiredProfessional certifications such as PMP or equivalent are a plus10+ years of experience in digital, manufacturing, maintenance, or reliability environments3+ years of experience in a Digital Product Manager or Product Owner roleReliability & Maintenance ExpertiseStrong knowledge of RCM methodologies, FMEA, and preventive maintenance practicesExperience with reliability technologies such as SCADA, vibration monitoring, thermography, or route-based monitoringStrong understanding of maintenance workflows and asset performance driversHands-on experience applying structured problem-solving and root cause analysis methodsDigital Product & Technology ExperienceProven ability to deliver digital solutions in asset-intensive industrial environmentsExperience translating business requirements into scalable digital productsStrong ability to manage competing priorities and adapt in dynamic environmentsExperience evaluating and implementing vendor or platform-based solutionsData, Analytics & AI ExposureExperience transforming raw data into meaningful business insightsStrong understanding of industrial data ecosystems and analytics platformsExposure to predictive maintenance, machine learning, or advanced analyticsExperience or training in AI/ML technologies is a plusEnterprise Systems & IntegrationExperience working with CMMS / EAM systemsExposure to SAP PM, including:Maintenance plans, equipment, and work order processesProcess design, configuration, and system enhancementsTesting, user training, and post-implementation supportDigital Architecture & Technology AwarenessStrong awareness of modern digital, AI, and automation technologiesAbility to evaluate and recommend fit-for-purpose technology solutionsUnderstanding of system integration, data flows, and scalable architecture principlesCarpenter Technology Company offers a competitive salary and a comprehensive benefits package including life, medical, dental, vision, flexible spending accounts, disability coverage, 401k with company contributions as well as many other options to employees.Carpenter Technology Corporation’s policy is to fully and effectively maintain a program of equal employment opportunity and nondiscrimination for all employees, to employ affirmative action for all protected classes, and to recruit and develop the best qualified persons available regardless of age, race, color, religion, sex, gender identity, sexual orientation, marital status, national origin, political affiliation or any other characteristic protected by law. The Company also will recruit, develop and provide opportunities for qualified persons with disabilities and protected veterans.SummaryLocation: Reading, PA; Philadelphia, PA; Latrobe, PA; Raleigh, NC; Tanner, ALType: Full time
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