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Delivery Excellence leader

Job in 411001, Pune, Maharashtra, India
Listing for: Persistent Systems
Full Time position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    Change Management, AI Business & Operations
  • Business
    Change Management, AI Business & Operations
Job Description & How to Apply Below
About Position:

Persistent is entering its next phase of growth, where AI-native delivery, outcome-based commercial models, and rigorous measurement discipline will define competitive advantage. This role will reposition Delivery Excellence from a traditional quality and governance function into a strategic enabler of growth by driving AI adoption, strengthening delivery assurance, supporting AI-led client engagements, enabling outcome-based commercial models, and building a metrics-led culture across the organization.

The ideal candidate will combine deep expertise in quality frameworks, risk management, automation, AI-driven transformation, and executive stakeholder management with the ability to connect delivery outcomes to business value.

Role:
Delivery Excellence leader

Location:

Pune

Experience:

20+ years
Job Type: Full Time Employment
Mandatory Mention 3 skills: IT service delivery, quality management, operational excellence, and process transformation.

What You'll Do:

1. Delivery Excellence & Quality Governance
Ensure Delivery Assurance across the organization through structured intervention, planning, tracking, governance, and reporting.
Establish and maintain quality frameworks aligned to CMMI, ISO 9001, ITIL, Agile, Lean, and industry best practices.
Own and govern the Software Engineering Process Group (SEPG), ensuring process definition, rollout, adoption, and measurability
across the organization.
Lead and manage the Agile Center of Excellence (Agile COE) to drive agile maturity and execution excellence.
Strengthen quality governance through data-driven decision making and continuous improvement initiatives.
2.Risk Management & Executive Governance
Establish multi-tier governance mechanisms to proactively identify, monitor, and mitigate delivery and operational risks.
Create strong linkages between delivery performance, quality indicators, business outcomes, and customer satisfaction.
Lead executive-level escalation management for critical delivery, quality, customer, operational, and transformation-related issues.
Drive root cause analysis and implementation of preventive and corrective actions across the delivery organization.
3. AI Adoption, Measurement & Governance
Define and own an enterprise-wide AI adoption framework that measures productivity improvement, quality impact, business value
realization, and operational efficiency.
Establish leading and lagging indicators to differentiate meaningful AI adoption from simple usage metrics.
Build executive dashboards that connect AI adoption to delivery performance, customer outcomes, productivity, margins, and
quality.
Drive governance mechanisms to ensure responsible, measurable, and scalable adoption of AI and GenAI capabilities across
delivery functions.
Promote innovation through AI-led transformation programs with clearly defined business outcomes.
4. Elevating the Organization for AI-Led Engagements & Outcome-Based Delivery
Partner with Sales, Delivery, Finance, and Technology leadership to evolve the organization's delivery model for AI-native services.
Enable the transition from effort-based delivery models toward outcome-based, value-based, and AI-driven engagement models.
Establish governance, quality controls, delivery assurance frameworks, and risk management practices for AI and GenAI-led client
engagements.
Define delivery metrics, SLAs, and measurement frameworks that support outcome-based commercial constructs and make
business value transparent and auditable.
Lead initiatives to elevate organizational capability, operating models, talent readiness, governance frameworks, and delivery
practices to support increased AI engagement opportunities and accelerate the adoption of outcome-based engagements across
the enterprise.
5. Operational Excellence, Automation & AI-Powered Delivery Excellence
Lead the development and implementation of automated delivery and governance processes to enhance efficiency, scalability, and
quality.
Drive automation initiatives using AI-driven analytics, predictive modeling, and GenAI-based interventions.
Automate quality audits, risk identification, compliance monitoring, reporting, and governance activities wherever feasible.
Leverage AI to improve insight generation, decision-making, and operational effectiveness within the Delivery Excellence function.
Position Delivery Excellence as a model organization for AI-led transformation and operational innovation.
6. Stakeholder Leadership & Capability Building
Collaborate closely with Delivery, Sales, Technology, Finance, and Business leadership teams to identify and eliminate systemic
inefficiencies.
Influence strategic decisions through data-driven insights and delivery excellence expertise.
Build organizational capability by mentoring teams on delivery excellence, process optimization, quality management, risk
governance, AI adoption, and operational transformation.
Develop a strong leadership bench and foster a culture of continuous improvement and accountability.

Expertise You'll Bring:

20+ years of…
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