Director of Data Services

About the Company

A dynamic, innovative, and fast-paced work environment. Opportunities to work with the most advanced AI and cloud technologies in the market. A key role in shaping the future of AI-led cloud transformations globally. Clear paths for professional growth and development. A hybrid and flexible work model.

About the Role

We are looking for a visionary and results-driven Director of AI Applications and Data Platforms to lead our data and AI strategy, delivery, and innovation. In this role, you will bridge the gap between cutting-edge technology and business value, heading a talented team of data engineers, AI experts, and architects. You will be responsible for designing and delivering robust data platforms and production-ready AI applications for our global enterprise and mid-market clients, leveraging our deep partnerships with AWS and Salesforce. If you are passionate about scaling AI capabilities, building high-performing teams, and driving AI-led cloud transformations, we want you with us.

Key Responsibilities

• Strategic Leadership
• Define and execute the roadmap for AI and Data offerings, ensuring alignment with market trends and client needs.
• Team Management & Growth
• Lead, mentor, and scale a world-class team of Data Engineers, Data Scientists, and AI Specialists.
• Foster a culture of excellence, continuous learning, and innovation.
• Client Delivery & Advisory
• Act as a trusted advisor to C-level executives at our client organizations, helping them shape their AI and data strategies and overseeing the delivery of complex, high-impact projects.
• Ecosystem Collaboration
• Work closely with our partners to leverage cutting-edge tools (e.g., AWS Bedrock, SageMaker, Salesforce Data Cloud, Einstein AI) and create joint, repeatable solutions.
• Productization & Scaling
• Drive the development of reusable frameworks, blueprints, and accelerators to streamline the delivery of AI and data platforms.
• Cross-Functional Collaboration
• Partner with Sales, Marketing, and Product teams to support pre-sales activities, define go-to-market (GTM) strategies, and identify new business opportunities.

Qualifications

• Education
• B.Sc. or M.Sc. in Computer Science, Data Science, Engineering, or a related technical field (or equivalent practical experience).
• Experience
• 10+ years of experience in Data Engineering, Data Science, or AI software development, with at least 5+ years in a senior leadership/management role leading technical teams.
• Cloud & Ecosystem Expertise
• Deep hands-on and architectural knowledge of the AWS data ecosystem (Glue, Redshift, Athena, Lake Formation) and AI/ML services (Bedrock, SageMaker).
• Familiarity with Salesforce Data Cloud / Einstein AI is a major advantage.
• Technical Proven Track Record
• Strong experience in building scalable modern data architectures (Data Lakes, Data Mesh, Lakehouses) and deploying Generative AI / LLM applications into production.
• Consulting/SI Background
• Proven experience working in a global professional services, consulting, or system integrator (SI) environment.
• Business Acumen
• Exceptional ability to translate complex technical concepts into clear business value for stakeholders and clients.
• Languages
• High proficiency in English (both written and verbal) – working with global teams and clients is an everyday routine.