Sr. Manager - Digital Product & Reliability Job Stillwater area,Oklahoma USA,IT/Tech

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 downtime
Standardized, digitally enabled maintenance and reliability processes across sites
High‑quality, governed, and reusable data products supporting reliability use cases
Increased adoption of AI‑driven insights in maintenance planning and execution
Optimized spare parts availability at lower total inventory cost
Scalable foundation for predictive, prescriptive, and autonomous reliability operations
Effective selection and application of modern digital and automation technologies to drive measurable business value

Primary Responsibilities

Digital Product Strategy & Roadmap
Own the digital product vision, roadmap, and backlog for maintenance and reliability capabilities
Translate reliability strategies into clearly defined digital use cases and scalable solutions
Design modular, reusable capabilities that can be deployed across plants and asset classes
Ensure alignment with enterprise data standards, platform architecture, and interoperability requirements
Balance near‑term value delivery with long‑term scalability, standardization, and AI readiness
Digital Solution Architecture & Technology Enablement
Stay current with emerging digital, AI, and automation technologies and assess applicability to manufacturing reliability use cases
Evaluate and recommend technologies based on business needs, scalability, and return on investment
Define scalable solution patterns in collaboration with architecture and engineering teams
Ensure interoperability across enterprise systems including EAM/CMMS, SAP, IoT platforms, data platforms, and analytics tools
Drive reuse of components, services, and data models to avoid siloed or fragmented solutions
Guide build vs. buy decisions and vendor solution selection
Ensure digital solutions are designed with data, analytics, and AI consumption in mind
Asset Integrity & Reliability Enablement
Digitally enable key reliability practices, including asset criticality, RCM, FMEA, PM optimization, and defect elimination
Ensure processes are standardized, structured, and digitized across sites
Apply structured problem‑solving techniques and data‑driven analysis to improve asset performance
Embed decision‑support capabilities into maintenance workflows
Work Management Standardization
Lead digital enablement of end‑to‑end work management processes
Drive consistency in work identification, planning, scheduling, execution, and closure
Ensure high‑quality, standardized data capture across maintenance…