Capex Process Data & AI Product Owner

When joining PerkinElmer, you select an experienced and trusted leader in scientific solutions, with the support of a global service network and distribution centers, providing the right solution, at the right time, to meet critical customer needs.  With over an 80+ year legacy of advancing science and a mission of innovating for a healthier world, our dedicated team collaborates closely with commercial, government, academic and healthcare customers to deliver our broad portfolio of analytical solutions, and OneSource services.

Job Title

Capex Process Data & AI Product Owner

Location(s)

United Kingdom - OneSource Remote

Job Description

Role Purpose

The Capex Process Data & AI Product Owner ensures capital investment decisions are justified using real asset data, utilization evidence, and lifecycle logic.

The role designs an AI assistant that supports capex requests by linking capex service requests and interrogating inventory and utilization data to present clear, defensible recommendations.

This role does not build AI models or write code. It defines what questions the AI can answer, what data it uses, what rules it follows, and how recommendations are explained.

The role holder must bring a marginal gains mindset, continuously improving processes for ongoing productivity gains.

Key Responsibilities

1.  Define Capex Recommendation Standards

Specify the required evidence for every AI-supported recommendation, including:

• Existing inventory at site and nearby locations

• Utilization and redundancy

• Asset age, performance, and downtime trends

• Define financial threshold logic and mandatory data-based challenge points

2.  Map Capex Logic to Asset Data

Own the system linkage between:

• Capex service requests

• Live inventory

• Utilization and service performance data

• Identify missing, unreliable, or poorly classified data early — own the fixes

3.  Own Capex Decision Rules

Translate capital governance policy into decision logic:

• Mandatory data-based challenge points

• Approval thresholds

• Replace vs repair vs redeployment logic

• Exceptions and escalation paths

4.  AI Tool Design & Wireframing

Define functional requirements for:

• Capital request capture

• Capacity analysis logic

• Replace vs repair vs redeployment recommendations

• Ensure recommendation logic is aligned with stakeholders at design stage

5.  Validate with Real Governance Forums

• Test recommendations with capital committees and site leaders

• Unify the process and prevent local exceptions from becoming embedded system rules

6.  Continuous Improvement

• Review rejected and approved capex outcomes

• Refine decision logic as demand patterns evolve

• Monitor data integrity across the asset lifecycle

Critical Skills

• Must have strong understanding of asset lifecycle economics and operations

• Must have capital governance and financial decision literacy

• Must have proven analytical experience

• Must have demonstrated ability to convert tacit operational knowledge into explicit, auditable rules

• Must have strong stakeholder facilitation and governance discipline

• Must have a marginal gains mindset — committed to continuous process improvement and ongoing productivity gains

Basic Qualifications:

• Bachelors Degree and 5+ years of relevant work experience OR

• Associates Degree and 7+ years of relevant work experience OR

• Highschool Diploma and 10+ years of relevant work experience

Working Environment:

• Job pace may be fast and job completion demands may be high. 

• Must be able to remain in a stationary position more than 25% of the time 

• Occasionally move or lift up to 25 pounds (potential for occasional lifting of up to 50 pounds). 

• Occasionally operates a computer and other office machinery, such as a calculator, copy machine, and computer printer.