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.