# Burney Jewelry Maker — Chief Delivery Innovation Officer

- Generated: 2026-09-16 02:20:33 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4466880157/
- Provider: LinkedIn
- Posted: approximately 2026-09-16 12:20 PM EDT (from '2 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: Be among the first 25 applicants
- Work model/location: United States listing; remote eligibility not stated
- Compensation: Not disclosed; Chief title qualifies
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: FAIL — 62%

## Direct-match strengths

AI-enabled delivery, automation, analytics, platform modernization, Agile, delivery metrics, resource planning, quality, risk, budgets, and executive leadership.

## Hard or material gaps

Hard scale and verification gaps: the JD requires an enterprise/global delivery organization, delivery economics, utilization, profitability, commercial-model innovation, Lean/Six Sigma, and 18+ years of progressive delivery or professional-services leadership. Keith's delivery leadership is strong but not at this stated global commercial-delivery scope. No official company vacancy could be independently verified, and the exact generic title appears at unrelated employers. Remote eligibility is unverified.

## Evidence map

1. AI-enabled delivery transformation (weight 3, evidence 3/3) — Direct automation and platform delivery.
2. Global delivery organization leadership (weight 3, evidence 1/3) — Led distributed teams up to 25, not a global enterprise delivery function.
3. Delivery economics, utilization, and profitability (weight 3, evidence 1/3) — Budget ownership is direct; commercial-delivery economics are not.
4. Lean and Six Sigma (weight 2, evidence 0/3) — Not source-supported.
5. Verified employer and role (weight 3, evidence 0/3) — No independent official vacancy found.
6. Eligible work model (weight 2, evidence 0/3) — Remote status is not stated.

## Keyword diagnostic

Transferable AI delivery and operating leadership cannot replace required global commercial-delivery scale, Lean/Six Sigma depth, verified employer scope, or eligible work model.

## Full normalized job description

Chief Delivery Innovation Officer (CDIO)
Position Summary
The Chief Delivery Innovation Officer is a senior enterprise executive responsible for transforming how the organization designs, manages, and delivers products, services, projects, and customer outcomes.
The CDIO develops the enterprise delivery innovation strategy and drives the adoption of new delivery models, digital platforms, AI, automation, advanced analytics, and operating practices to improve speed, quality, predictability, scalability, customer experience, and profitability.
Working closely with the CEO, COO, CTO/CIO, Chief Transformation Officer, business-unit leaders, and customer-facing organizations, the CDIO identifies opportunities to modernize the end-to-end delivery lifecycle and establish differentiated, technology-enabled delivery capabilities.
Key Responsibilities
1. Enterprise Delivery Innovation Strategy
Develop and execute the organization’s enterprise delivery innovation strategy.
Identify opportunities to improve how products, projects, services, and solutions are delivered.
Establish strategic priorities for delivery modernization, innovation, and operational scalability.
Develop long-term roadmaps connecting delivery innovation with corporate growth and value-creation objectives.
2. Delivery Model Transformation
Design and implement modern delivery models across business units, regions, and service lines.
Evaluate traditional delivery structures and redesign them for greater speed, flexibility, and scalability.
Develop standardized delivery frameworks while allowing appropriate business-unit and regional adaptation.
Introduce new commercial and operating models that improve delivery economics and customer outcomes.
3. AI, Automation & Intelligent Delivery
Lead adoption of AI, intelligent automation, machine learning, and advanced analytics across delivery operations.
Identify opportunities to automate planning, resource allocation, quality assurance, reporting, forecasting, and workflow management.
Develop AI-enabled delivery capabilities that improve decision-making, productivity, and predictability.
Establish governance frameworks for responsible and scalable use of AI within delivery environments.
4. Digital Delivery Platforms
Lead the modernization of delivery platforms, tools, workflows, and technology ecosystems.
Promote integrated digital platforms for project, program, service, resource, and customer delivery management.
Improve interoperability between delivery systems, enterprise applications, data platforms, and customer-facing technologies.
Evaluate emerging technologies that can create competitive advantages in delivery performance.
5. Delivery Performance & Operational Excellence
Establish enterprise KPIs covering delivery speed, quality, cost, productivity, utilization, predictability, customer satisfaction, and profitability.
Identify performance gaps and lead targeted improvement initiatives.
Apply Lean, Agile, Six Sigma, process optimization, and continuous-improvement methodologies.
Build data-driven operating mechanisms for continuous delivery-performance improvement.
6. Customer & Delivery Experience
Improve the end-to-end customer experience throughout the delivery lifecycle.
Establish consistent standards for communication, transparency, responsiveness, quality, and execution.
Use customer feedback, behavioral data, and performance analytics to identify improvement opportunities.
Align delivery innovation with customer retention, satisfaction, loyalty, and commercial growth.
7. Delivery Quality & Risk
Strengthen enterprise delivery quality standards, governance, and risk-management practices.
Develop predictive approaches to identify delivery risks before they affect customers or financial performance.
Establish escalation and intervention mechanisms for high-risk projects, programs, and services.
Partner with Quality, Risk, Legal, Compliance, and Operations teams to strengthen delivery controls.
8. Resource & Capacity Optimization
Optimize workforce capacity, skills allocation, utilization, and resource planning across delivery organizations.
Introduce data-driven resource forecasting and intelligent workforce allocation.
Improve coordination between demand, capacity, talent, technology, and delivery commitments.
Develop scalable approaches to global and regional delivery capacity management.
9. Innovation Portfolio Management
Establish governance for the enterprise delivery innovation portfolio.
Evaluate emerging delivery technologies, methodologies, vendors, and operating models.
Prioritize initiatives based on strategic importance, financial impact, customer value, scalability, and implementation complexity.
Measure innovation adoption and realized business benefits.
10. Financial Performance & Value Creation
Connect delivery innovation initiatives to measurable financial outcomes.
Improve delivery margins, productivity, cost efficiency, utilization, and operating leverage.
Partner with Finance to develop business cases, investment models, and ROI frameworks.
Identify opportunities for technology-enabled cost reduction and revenue expansion.
11. Organizational Change & Capability Development
Lead organizational change required to adopt new delivery models and technologies.
Develop training, capability-building, and adoption programs for delivery organizations.
Establish communities of practice and enterprise standards for delivery innovation.
Build a culture of experimentation, continuous improvement, accountability, and innovation.
12. Executive Leadership & Cross-Functional Integration
Serve as the executive authority for delivery innovation across the enterprise.
Align Technology, Operations, Product, Project Management, Customer Experience, Finance, Sales, and business-unit leadership.
Advise the CEO and executive team on emerging delivery trends, technologies, and operating models.
Build strategic relationships with technology providers, innovation partners, and external delivery ecosystems.
Qualifications
Bachelor’s degree in Business, Engineering, Computer Science, Information Technology, Operations, or a related discipline.
MBA or advanced technical/business degree preferred.
18+ years of progressive leadership experience in delivery management, operations, technology transformation, consulting, professional services, or enterprise transformation.
Demonstrated success leading large-scale delivery transformation or innovation initiatives.
Strong knowledge of AI, automation, digital platforms, Agile, Lean, analytics, and modern delivery methodologies.
Experience managing complex global delivery organizations and multi-functional transformation portfolios.
Strong financial and commercial understanding, including delivery economics, ROI, productivity, and profitability.
Proven ability to influence CEOs, executive teams, Boards, and senior business stakeholders.
Exceptional strategic thinking, innovation leadership, communication, and organizational-change capabilities.
Core Competencies
Enterprise Delivery Innovation
Delivery Strategy & Transformation
Digital Delivery Models
AI & Intelligent Automation
Delivery Technology & Platforms
Operational Excellence
Agile & Lean Transformation
Delivery Performance Management
Customer Delivery Experience
Resource & Capacity Optimization
Predictive Analytics
Delivery Quality & Risk
Innovation Portfolio Management
Process Optimization
Delivery Economics & Profitability
Business Model Innovation
Organizational Change
Enterprise Value Creation
Executive Leadership

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No