Role Summary:

As the Senior Delivery Head, you will lead AI, machine learning, and robotics projects transforming manufacturing operations. You will set the strategic direction for delivery, optimize processes, and manage a multidisciplinary team to ensure project success in a complex industrial environment. Your role will involve a blend of leadership, technical expertise, and operational excellence to deliver AI-powered solutions to enhance manufacturing efficiency.

1. Strategic Leadership & Vision:

• Define and Drive Delivery Strategy: Create a long-term strategy to automate manufacturing with AI and communicate the roadmap for project excellence.
• Align with Business Objectives: Ensure project delivery aligns with company goals, maximizing value for clients and the business.
• Thought Leadership: Represent the company in industry forums, ensuring the company is viewed as a leader in AI-powered manufacturing automation.

2. End-to-End Project Management:

• Comprehensive Project Oversight: Lead projects from planning to execution and post-delivery support, ensuring effective governance.
• Resource Allocation: Balance resource capacity with project demand, overseeing recruitment for scaling project delivery.
• Risk Management: Proactively manage risks and resolve issues to maintain timelines and client satisfaction.

3. Quality Assurance and System Integration:

• Excellence in QA: Ensure robust QA for both software and hardware, maintaining industry-leading standards in validation and testing.
• Integration Leadership: Lead the integration of AI, robotics, and edge devices, ensuring seamless operation across subsystems.
• Industry Standards & Compliance: Ensure projects meet industry standards, regulations, and client trust.

4. Team Leadership and Development:

• Build and Nurture a High-Performing Team: Foster a culture of collaboration, accountability, and continuous improvement.
• Mentorship and Talent Development: Guide emerging leaders, and develop professional skills and technical expertise within the team.
• Performance Management: Set clear objectives, conduct reviews, and align team performance with company goals.

5. Client & Stakeholder Engagement:

• Stakeholder Management: Serve as the primary point of contact for senior stakeholders, ensuring transparent communication and trust.
• Customized Solutions for Client Success: Work with clients to tailor AI and robotics solutions to their specific manufacturing needs.
• Continuous Improvement Based on Feedback: Establish mechanisms to gather client feedback and drive solution enhancements.

6. Process Optimization & Innovation:

• Optimize Delivery Processes: Refine processes for increased efficiency, using lean and agile methodologies to enhance responsiveness.
• Innovate with Advanced Technologies: Stay ahead by leveraging AI-driven tools, real-time analytics, and automation for operational efficiency.
• Champion Agile Transformation: Lead the adoption of agile practices tailored to the dynamic demands of AI and robotics projects.

7. Financial Management & Operational Accountability:

• Budget Oversight: Oversee budget allocations and optimize resource use to ensure financial efficiency.
• KPIs: Define and measure performance metrics across project delivery, client satisfaction, and team productivity.
• Vendor & Contract Management: Manage vendor relationships and ensure contract compliance to meet project specifications.

Required Qualifications:

• Education: Master’s degree in Engineering, Computer Science, Business Administration, or related field (MBA preferred).
• Experience: 15+ years in AI, robotics, or industrial automation, including 5+ years in senior leadership roles.
• Technical Expertise: Strong knowledge of AI, robotics, machine learning, system integration, and risk management.

Core Competencies:

• Strategic Vision: Ability to lead teams towards long-term goals and plan for evolving business needs.
• Leadership: Experience in managing cross-functional teams in fast-paced environments.
• Technical Expertise: Deep knowledge of AI, robotics, machine learning, and integration challenges.
• Communication: Ability to communicate complex concepts clearly to diverse stakeholders.
• Financial Acumen: Proficiency in budgeting, cost control, and financial reporting.

Preferred Qualifications:

• Industry Experience: Proven success in industrial automation or manufacturing AI and robotics applications.
• Certifications: PMP, PRINCE2, Agile, Six Sigma, or Lean certifications preferred.
• Agile & DevOps Expertise: Familiarity with agile and DevOps practices to enhance project delivery in AI and robotics projects.

Technical Skills:

• Programming Languages: Proficiency in Python, Java, C++, or similar languages.
• AI & ML: Expertise in machine learning algorithms and frameworks such as TensorFlow or PyTorch.
• Cloud Computing: Experience with cloud platforms like AWS, Azure, or GCP.
• Robotics: Familiarity with robotics frameworks such as ROS.
• Big Data Technologies: Experience with Hadoop, Spark, or Kafka.
• Version Control & CI/CD: Proficiency with Git and CI/CD tools like Jenkins.
• IoT & Edge Computing: Knowledge of IoT protocols and edge computing.

Key Performance Indicators (KPIs):

• Project success and on-time completion rates.
• Client satisfaction and retention.
• Team productivity and efficiency.
• Cost savings and ROI from AI/robotics implementations.
• Innovation outcomes (e.g., patents, publications, open-source contributions).