Director of Data Services
Posted 21 days ago · 84 applicants
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The role in plain words
The Director of AI Applications and Data Platforms leads a team of data engineers, AI experts, and architects to design and deliver data platforms and production-ready AI applications for global clients. Day-to-day responsibilities include defining the AI and data roadmap, mentoring technical teams, advising client C-level executives, and collaborating with partners to leverage cloud tools. You will also partner with sales and marketing to support pre-sales activities and define go-to-market strategies.
- 8+ years of experience in Data Engineering, Data Science, or AI software development
- 3+ years in a senior leadership/management role leading technical teams
- AWS Glue
- AWS Redshift
- AWS Athena
- Salesforce Data Cloud
- Salesforce Einstein AI
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced leaders with over 8 years in data engineering or AI development, including at least 3 years in senior leadership, who have a strong background in consulting or professional services. It is less ideal for those without deep architectural knowledge of the AWS data ecosystem or experience deploying generative AI applications into production.
Full job description
Original listing · kept for referenceWe 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. If you are passionate about scaling AI capabilities, building high-performing teams, and driving AI-led cloud transformations, we want you with us.
Key Responsibilitie
• 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.
Requirements:
• Experience: 8+ years of experience in Data Engineering, Data Science, or AI software development, with at least 3+ 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.Education: B.Sc. or M.Sc. in Computer Science, Data Science, Engineering, or a related technical field (or equivalent practical experience).
• Languages: High proficiency in English (both written and verbal) – working with global teams and clients is an everyday routine.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 8+ years of experience in Data Engineering, Data Science, or AI software development, 3+ years in a senior leadership/management role leading technical teams, AWS Glue, AWS Redshift, AWS Athena