Capex Predictive Intelligence Product Manager

Description

The Product Operations Data Team is seeking an individual to own the predictive intelligence vision for the Capex Equipment Engineering organization. This role involves defining business requirements and prediction objectives, identifying and mapping data sources, and building and maintaining the requirements framework for predictive capabilities.

• Translate domain estimation logic into clear data inputs, target outputs, and accuracy expectations
• Partner with the ML engineering team and X-functional partners as a domain expert and product owner
• Build and maintain real-time design guidance tools for cross-functional partners
• Communicate model outputs, capabilities, and limitations clearly to both technical teams and non-technical audiences
• Expand technical depth and domain understanding to strengthen the quality of requirements and context

Responsibilities

Define business requirements and prediction objectives that guide ML model development - translating domain estimation logic into clear data inputs, target outputs, and accuracy expectations

Identify and map upstream data sources that serve as trigger signals for Capex prediction, documenting the pipeline requirements needed to feed the predictive framework

Partner with the ML engineering team and X-functional partners as domain expert and product owner, providing the manufacturing and Capex context to ML Engineering team

Build and maintain the requirements framework for how predictive capabilities are extended as real-time design guidance tools for cross-functional partners

Communicate model outputs, capabilities, and limitations clearly to both technical teams and non-technical executive and operational audiences

Continuously expand your technical depth and domain understanding to strengthen the quality of the requirements and context you bring to the ML partnership

Minimum Qualifications

• 3+ years of experience in an analytical, data, or technically oriented role
• BS or MS degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent hands-on experience
• Strong quantitative analytical skills - comfortable working with complex, multi-source datasets to extract meaningful signals
• Foundational understanding of how predictive models work - what they require as inputs, how they are trained, and how their outputs should be interpreted and validated
• Demonstrated ability to translate ambiguous business problems into structured, precise requirements that a technical team can act on

Preferred Qualifications

• 5+ years of experience in an analytically driven role with increasing scope and ownership
• Some exposure to manufacturing, supply chain, or capital equipment environments - enough to engage credibly with domain concepts and recognize when a model output makes operational sense
• Experience working at the interface between business and engineering teams, serving as a translator or connector across functions
• Familiarity with data pipeline concepts, feature engineering, and model validation practices - even without hands-on model building experience
• Experience defining requirements for ML or data products and partnering with technical teams through the development lifecycle
• Clear and confident communicator, able to represent team needs to a technical audience and explain complex analytical concepts to non-technical stakeholders
• Demonstrated intellectual curiosity and a track record of growing technical depth independently in a fast-moving environment
• Comfortable operating in ambiguous, early-stage problem spaces where the framework itself is still being defined