Application Service Delivery Director

The Service Delivery Director will lead and manage the delivery of application development services, with a focus on AI-driven solutions, data platforms, and full-stack development. This role is responsible for ensuring the successful design, development, deployment, and maintenance of applications that align with business goals. The ideal candidate will have a strong background in AI, data engineering, and full-stack development, along with proven experience in managing large-scale IT service delivery teams.

You Will:

1. Strategic Leadership:

- Define and execute the strategic roadmap for application development, focusing on AI, data, and full-stack solutions.

- Align service delivery objectives with business goals and ensure the delivery of high-quality, scalable, and innovative solutions.

- Drive the adoption of AI and data-driven technologies to enhance business processes and customer experiences.

2. Service Delivery Management:

- Oversee the end-to-end delivery of application development projects, ensuring timely and within-budget delivery.

- Manage the development, deployment, and maintenance of AI models, data platforms, and full-stack applications.

- Ensure adherence to best practices in software development, data engineering, and AI/ML model deployment.

3. Team Management:

- Lead and mentor cross-functional teams, including developers, data scientists, AI engineers, and DevOps professionals.

- Foster a culture of innovation, collaboration, and continuous improvement within the team.

- Ensure teams are equipped with the necessary tools, training, and resources to deliver high-quality solutions.

4. Stakeholder Engagement:

- Collaborate with internal stakeholders (e.g., business units, product managers) and external partners to understand requirements and deliver solutions.

- Act as the primary point of contact for service delivery issues, ensuring effective communication and resolution.

- Provide regular updates to senior leadership on project status, risks, and opportunities.

5. Technical Oversight:

- Ensure the development and maintenance of robust, scalable, and secure applications.

- Oversee the integration of AI/ML models into applications and data pipelines.

- Monitor the performance of applications and data platforms, ensuring optimal functionality and user experience.

6. Quality Assurance and Compliance:

- Implement and enforce quality assurance processes to ensure the reliability and performance of applications.

- Ensure compliance with industry standards, data privacy regulations, and security protocols.

7. Innovation and Continuous Improvement:

- Stay updated on emerging technologies and trends in AI, data engineering, and full-stack development.

- Identify opportunities to leverage new technologies to improve service delivery and business outcomes.

- Drive continuous improvement initiatives to enhance development processes and service quality.

You Bring:

Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

- Experience:

- 10+ years of experience in application development, with a focus on AI, data, and full-stack solutions.

- 5+ years of experience in a leadership or managerial role, overseeing large-scale IT service delivery teams.

- Proven track record of delivering complex, AI-driven applications and data platforms.

Technical Skills:

- Strong knowledge of AI/ML frameworks and data engineering tools (e.g., Hadoop, Spark).

- Expertise in full-stack development technologies (e.g., JavaScript, React, Node.js, Python, Java).

- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and DevOps practices.

- Familiarity with data governance, security, and compliance standards.

Soft Skills:

- Excellent leadership, communication, and stakeholder management skills.

- Strong problem-solving and decision-making abilities.

- Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

- Certifications in AI/ML, cloud platforms, or project management (e.g., PMP, Scrum Master).

- Experience in industries such as finance, healthcare, or e-commerce, where AI and data-driven solutions are critical.

- Knowledge of Agile and DevOps methodologies.