Director - Cloud & AI Strategy & Implementation - IT (10-15 yrs)

This role is with our eminent client in the space of Technology which is an industry leader for providing digital platforms crafted for telecom operators, banks, financial services organizations, and other enterprises

We are seeking a Director of AI & Cloud Strategy and Implementation to lead and drive the strategic direction, development, and deployment of AI and Cloud-based solutions. This is a critical leadership role that will require a visionary leader with deep technical expertise, business acumen, and a proven track record of successfully executing AI and Cloud transformation initiatives.

As the Director of AI & Cloud Strategy and Implementation, you will be responsible for defining and driving the AI and Cloud strategy for the company, ensuring that all AI-driven and Cloud-enabled products and services are developed and implemented to meet our business goals. You will also work closely with cross-functional teams including engineering, product management, sales, and marketing to ensure the successful integration of AI and Cloud solutions into our product offerings.

Key Responsibilities:

Strategic Leadership

- Develop and implement a comprehensive AI & Cloud strategy that aligns with the company's overall business objectives.

- Lead the vision and execution of AI and Cloud initiatives, ensuring they deliver measurable business value.

- Stay current with the latest trends, technologies, and best practices in AI, Cloud, and related fields, and assess their potential for innovation and application to the company's product offerings.

AI & Cloud Solutions Implementation

- Oversee the end-to-end execution of AI and Cloud-based solutions, ensuring that products are scalable, secure, and reliable.

- Work with internal teams to design, implement, and continuously optimize AI algorithms, machine learning models, data pipelines, and cloud architecture.

- Ensure seamless integration of AI capabilities into Cloud environments (e.g., AWS, Azure, Google Cloud) to enhance product functionality and performance.

Cross-Functional Collaboration

- Collaborate closely with the CTO, product teams, and engineering leadership to define and prioritize AI & Cloud initiatives within the product roadmap.

- Partner with data scientists, software engineers, and architects to drive the development of AI-driven features and Cloud infrastructure.

- Foster strong relationships with key stakeholders, including customers, to understand their AI and Cloud needs and translate them into actionable strategies.

Team Leadership & Development

- Build, manage, and mentor a high-performing team of AI experts, cloud architects, and engineers.

- Provide technical leadership, guidance, and coaching to the team while promoting a collaborative, innovative, and results-oriented culture.

- Promote continuous learning and professional development to ensure the team stays on the cutting edge of AI and Cloud technologies.

Governance & Best Practices

- Establish governance processes, best practices, and methodologies for AI and Cloud solution development and implementation.

- Ensure adherence to security, compliance, and ethical standards related to AI and Cloud technologies.

- Monitor performance, scalability, and cost-efficiency of AI models and Cloud resources, ensuring that they meet business and customer expectations.

Metrics & Reporting

- Define key performance indicators (KPIs) for AI & Cloud initiatives and track progress against established goals.

- Provide regular updates and reports to senior leadership on the status of AI and Cloud initiatives, including risks, challenges, and opportunities.

Performance Optimization-

- Define KPIs to measure AI strategy success.

- Monitor and optimize implemented solutions.

- Facilitate AI adoption through change management plans.

Qualifications:

Education

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - Relevant certifications in AI, Cloud Computing, or related disciplines are a plus (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).