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Job Title: Delivery Director
Job Location: Dallas, USA
Job Type: Contract
Job Description:
Job Title: Delivery Director
Job Location: Dallas, USA
Job Type: Contract
Job Description:
- Lead the Quality Management Office (QMO) governance framework, ensuring standardization of delivery and quality processes across programs and portfolios.
- Oversee end-to-end program and portfolio delivery, ensuring adherence to scope, schedule, cost, and quality benchmarks.
- Manage onsite and offshore delivery teams, ensuring seamless coordination, optimal utilization, and high performance across geographies.
- Define, track, and report key performance indicators (KPIs) for delivery health, quality, automation, and operational efficiency.
- Drive risk management, issue escalation, and mitigation strategies to ensure predictable delivery outcomes.
- Establish and enforce engineering quality standards, including test automation, CI/CD quality gates, and code quality metrics.
- Develop and present executive dashboards and insights to support data-driven decision-making.
- Partner with business, technology, and client stakeholders to ensure alignment of delivery with strategic objectives.
- Champion continuous improvement and AI-led transformation initiatives, including intelligent automation, Agentic AI adoption, and productivity enhancement.
- Lead QA and automation excellence programs, ensuring strong adoption of modern testing frameworks.
- Mentor and develop delivery leaders across onsite and offshore teams to build a strong quality-first and engineering excellence culture.
- 20 years of experience in IT services, program delivery, or portfolio management.
- Strong expertise in delivery governance, quality assurance, and large-scale transformation programs.
- Strong experience managing onsite offshore delivery models and global teams.
- Hands-on understanding of software engineering and test automation, including:
- Java / J2EE ecosystems
- Selenium WebDriver
- Playwright / modern automation frameworks
- API testing and CI/CD integration
- Experience in managing multi-project, multi-technology environments.
- Experience in managing Large Managed Services Programs
- Strong knowledge of Agile, DevOps, ITIL, or Lean methodologies.
- Exposure to AI/ML initiatives, GenAI tools, and AI-driven transformation programs.
- Experience in driving AI adoption for QA, automation, and delivery optimization.
- Strong stakeholder management experience at executive and client leadership levels.
- Strong analytical skills with ability to define and interpret delivery and quality metrics.
- Expertise in risk management, compliance, and audit processes.
- Strategic leadership and execution focus
- Global delivery (onsite offshore) management
- Strong technical awareness of modern engineering practices
- Data-driven decision making
- AI and automation mindset
- Process excellence and transformation leadership
- Risk and issue management
- Strong communication and stakeholder influence
- Exposure to GenAI platforms (Azure OpenAI, AWS Bedrock, etc.) and Agentic AI solutions
- Experience leading AI-led transformation or automation CoE initiatives
- Experience in global delivery or enterprise-scale transformation programs