We are seeking a senior transformation leader to drive Delivery Transformation & Operational Excellence across Information Systems.
This is not a project management or PMO role. You will partner with Domain Owners, Engineering Managers, TPMs, Product teams, and Delivery leaders to improve delivery predictability, reduce organizational friction, strengthen DevOps maturity, and embed modern, AI-enabled ways of working across the Digital Experience Platform (DXP) landscape.
Success in this role is measured by measurable improvements in delivery effectiveness, engineering flow, automation, operational resilience, and organizational capability. Acting as a catalyst for change, you will help teams continuously improve how they build, deliver, and operate technology at scale.
Key Responsibilities
Delivery Transformation & Operational Excellence
- Improve delivery predictability, flow, and execution effectiveness across domains
- Identify and remove systemic bottlenecks, dependencies, and organizational friction
- Strengthen domain ownership and accountability within the domain-based operating model
Engineering & Delivery Effectiveness
- Drive adoption of DORA metrics and other flow-based measures to improve delivery performance
- Reduce delivery waste, rework, and manual operational overhead through automation and process improvements
- Improve release readiness, deployment practices, and operational resilience across teams
AI-Enabled Delivery
- Drive adoption of AI-assisted delivery, knowledge management, and operational workflows
- Introduce practical AI governance, guardrails, and operating principles
- Pilot and scale AI-enabled capabilities that improve productivity, quality, and decision-making
Transformation & Change Leadership
- Orchestrate cross-functional change across Engineering, Product, TPM, QA, DevOps, and Operations
- Translate strategic goals into executable transformation roadmaps
- Coach teams and leaders on modern delivery, Agile, DevOps, and operational excellence practices
- Introduce new ways of working that strengthen ownership, autonomy, and accountability
- Balance strategy with hands-on execution when needed
Capability Building & Enablement
- Build reusable playbooks, frameworks, and standards that improve delivery maturity
- Facilitate continuous improvement initiatives across domains and teams
- Support implementation and adoption of delivery tooling such as Jira, Confluence, ServiceNow, AI platforms, and workflow automation solutions
Requirements & Qualifications
Education & Certifications
- Bachelor's degree in computer science, Information Systems, or related field
- Agile, TPM, PMP, DevOps, SAFe, or Transformation certifications preferred
Experience
- 12+ years in technology delivery, TPM, transformation, engineering effectiveness, Agile transformation, DevOps transformation, or operational excellence roles
- Demonstrated experience leading organizational or delivery transformations at scale
- Experience improving delivery operating models across multiple teams or domains
- Proven track record coaching delivery, engineering, or product organizations
- Experience driving measurable improvements in delivery performance and organizational effectiveness
- Experience working across complex stakeholder environments
Preferred Experience
- Agile transformation
- DevOps transformation
- Engineering effectiveness initiatives
- AI-enabled delivery or operational transformation
- Product operating model transformations
- Large-scale digital platforms
- Telecommunications or regulated industries (advantageous but not required)
Leadership & Behavioral Traits
- Strong systems thinker
- Influences through credibility rather than authority
- Outcome-oriented and pragmatic
- Comfortable operating in ambiguity
- Strong change agent and coach
- Balances governance with empowerment
- Passionate about helping teams improve
- Naturally curious about emerging technologies and AI
What Success Looks Like
Within 12-18 months:
- Delivery predictability improves across domains
- Engineering and TPM teams spend less time on coordination overhead
- Flow efficiency and deployment effectiveness improve measurably
- AI-assisted delivery practices are adopted in targeted areas
- Operational friction and manual work are reduced
- Teams demonstrate stronger ownership, autonomy, and accountability
- Delivery transformation practices become embedded and self-sustaining
- Engineering and product teams operate with greater speed, quality, and confidence
