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    Job · 15607778

    Iris Software logo

    Lead Analyst-Delivery Excellence

    Iris Software · Noida · onsite · Posted 48d ago

    Not disclosed10–12 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Lead Analyst – Delivery Excellence

    Experience: 10–12 Years

    Location: Noida

    Work Mode: Hybrid

    Role Overview

    We are looking for an experienced Lead Analyst – Delivery Excellence to drive delivery governance, software quality, process compliance, and continuous improvement across development projects.

    The role will work closely with Project Managers (PMs), Senior Project Managers (SPMs), Account/Delivery Managers (ADMs), Delivery Leadership, and Quality teams to ensure effective adoption of SDLC practices, CMMI processes, CAPA, SEPG initiatives, and AI-enabled engineering practices.

    The ideal candidate should have strong experience in development projects, SDLC governance, SQA, CMMI Level 3 (Development), process improvement, risk management, causal analysis, and AI tools, along with excellent facilitation and stakeholder-management skills.

    Key Responsibilities.

    Delivery Excellence & Governance

    • Facilitate delivery excellence initiatives across software development projects and ensure sustained adherence to the Quality Management System (QMS).
    • Conduct Software Quality Assurance (SQA) reviews and assess project compliance with defined processes, standards, and delivery models.
    • Provide guidance to project teams on relevant software engineering, SDLC, and project management practices to achieve optimal delivery outcomes.
    • Participate in project team meetings, governance forums, senior management reviews, and project causal analysis meetings.
    • Ensure a Zero Surprises delivery environment by proactively identifying risks, issues, process gaps, and early warning indicators.
    • Escalate critical risks and concerns to Delivery and Delivery Excellence leadership with actionable recommendations.
    • Work closely with PMs, SPMs, and ADMs to ensure the appropriate delivery and engagement models are implemented.

    QMS, CMMI & Process Excellence

    • Drive continued sustenance and improvement of the QMS across development engagements.
    • Conduct QMS/process training for project teams and delivery stakeholders.
    • Review, update, and author assigned process documents, Change Requests (CRs), guidelines, and standards.
    • Ensure formal configuration management and version control of QMS and related organizational documents.
    • Support CMMI Level 3 – Development practices and ensure effective implementation across projects.
    • Contribute to SEPG (Software Engineering Process Group) initiatives and organizational process improvement.
    • Drive CAPA (Corrective and Preventive Action) activities and track closure of identified issues.
    • Ensure organizational best practices are captured, documented, institutionalized, and shared across teams.

    Metrics, Analytics & Risk Management

    • Collect, analyze, validate, and report project delivery and quality metrics.
    • Identify trends, deviations, recurring issues, and improvement opportunities through data analysis.
    • Mentor PMs on risk identification, metrics analysis, root-cause analysis, and improvement planning.
    • Articulate contractual, delivery, quality, and process risks and work with senior management to define mitigation strategies.
    • Follow up with project teams to ensure timely closure of action items arising from CSAT, escalations, complaints, audits, and SQA reviews.

    Innovation & AI Enablement

    • Participate in organizational innovation programs as an Innovation Facilitator for delivery and enabling functions.
    • Facilitate ideation and brainstorming sessions to identify opportunities for delivery improvement.
    • Promote adoption of AI tools and Generative AI to improve software engineering, quality, documentation, analytics, and delivery processes.
    • Identify and evaluate AI-enabled opportunities across the SDLC, including requirements, development, testing, documentation, quality reviews, and project governance.
    • Support teams in adopting relevant AI tools while ensuring appropriate governance, quality, security, and process compliance.

    Continuous Improvement & Stakeholder Management

    • Drive delivery excellence and process improvement initiatives for the respective business unit.
    • Proactively identify issues and provide practical, data-driven solutions.
    • Facilitate discussions across project, quality, delivery, and leadership teams.
    • Mentor and coach project managers and delivery teams on quality, process adherence, risk management, and innovation.
    • Respond effectively to immediate and urgent delivery/governance requirements.
    • Build strong relationships with senior stakeholders and influence teams toward process and delivery excellence.

    Mandatory Skills

    • 10–12 years of experience in Delivery Excellence, Quality Assurance, Software Engineering, PMO, Process Excellence, or similar roles.
    • Strong experience in software development projects and end-to-end SDLC.
    • Hands-on experience with CMMI Level 3 – Development practices.
    • Strong knowledge of SQA, QMS, CAPA, SEPG, audits, process compliance, and continuous improvement.
    • Experience conducting SQA/process reviews and project governance reviews.
    • Strong understanding of risk management, causal analysis/RCA, metrics, and corrective/preventive actions.
    • Experience working closely with PMs, SPMs, ADMs, Delivery Leaders, and senior management.
    • Exposure to AI/Gen AI tools for software development and delivery excellence.
    • Strong facilitation, communication, presentation, analytical, and stakeholder-management skills.
    • Ability to proactively identify risks/issues and recommend actionable solutions.

    Good to Have

    • CMMI-related certification/training.
    • ISO/Quality Management certifications.
    • PMP / PRINCE2 / Agile certification.
    • Six Sigma / Process Excellence certification.
    • Knowledge of AI-assisted SDLC and Gen AI tools.
    • Experience with engineering metrics, dashboards, and data analytics.
    • Experience in organizational-level SEPG and process transformation initiatives.

    Key Competencies

    SDLC | Software Development | Delivery Excellence | SQA | QMS | CMMI Level 3 Development | CAPA | SEPG | Process Compliance | Risk Management | RCA/Causal Analysis | Metrics & Analytics | AI Tools | Gen AI | Continuous Improvement | Innovation | Governance | Stakeholder Management | Facilitation

    Ideal Candidate Profile

    The ideal candidate is a strong delivery-quality/process professional rather than a traditional audit-only profile—someone who understands software development projects, can engage confidently with PMs and senior leadership, proactively identifies risks, and can translate quality/process data into meaningful delivery improvements.

    Primary Focus:

    Development Projects + SDLC + CMMI L3 Dev + SQA + QMS + CAPA + SEPG + AI Tools + Delivery Excellence.

    Sourced from foundit

    Skills

    SDLCCMMI Level 3 DevelopmentSEPGSQACAPAcausal analysisMetrics & AnalyticsAI ToolsQMSRisk ManagementGenerative Ai

    About Iris Software

    Iris Software logo

    Iris Software

    IT Services & Consulting

    4.3k+

    employees

    1991

    35 years old

    Edison, New Jersey

    United States (USA)

    About

    IT company for best tech-solutions to enhance business operations

    Industries

    IT Services & Consulting

    Employee ratings

    1,895 reviews

    3.8/ 5

    Culture

    3.7

    Career growth

    3.3

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance381Work Culture267Senior Management254Learning202Salary156

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