Company Description

Exquitech Group is a multinational technology company specializing in developing innovative Cloud-based solutions and services for clients worldwide. With a mission to empower organizations through technology, Exquitech drives innovation, productivity, and digital transformation. As a Tier One Microsoft Partner with numerous awards and advanced specializations, Exquitech serves over 2,000 customers globally and has a strong presence in key markets.

Role Description

This is a full-time hybrid role for a Data and AI Director at Exquitech Group in the London Area, United Kingdom. The Data and AI Director will lead and oversee the Data Department and the AI Department, ensuring the development, deployment, and maintenance of cutting-edge data and AI technologies. This role includes managing and expanding the department’s strategic initiatives across various regions, fostering innovation in data warehousing, machine learning, large language models (LLMs), and other advanced AI solutions. The ideal candidate will be responsible for pre-sales and solution architecture activities and will manage departmental budgeting and strstegic growth to support the organization’s growth.

Qualifications

• Data Governance, Data Management, and Data Quality skills
• Analytical Skills
• Clinical Data Management experience
• Proven track record in leading data and AI initiatives
• Strong understanding of cloud-based technologies
• Excellent leadership and communication skills
• Advanced degree in Data Science, Computer Science, or related field
• Certifications in Data Management or AI are a plus

Key Responsibilities:

Leadership and Management:

• Lead, mentor, and manage the teams within the Data and AI Departments.
• Establish a vision for the department and drive its strategic expansion across multiple regions.
• Oversee end-to-end project delivery and ensure alignment with the company’s goals and standards.

Technical Oversight:

• Oversee the development and maintenance of Microsoft Data Warehousing solutions on Fabric and other data management platforms.
• Lead initiatives involving Databricks for data processing, machine learning, and big data analytics.
• Drive the integration and utilization of Azure OpenAI services and other advanced machine learning technologies.
• Manage the development and implementation of machine learning models, including LLMs and AI-driven solutions to support business objectives.
• Pre-Sales and Solution Architecture:
• Support pre-sales activities, engaging with clients to understand their needs and propose effective data and AI solutions.

• Design and review solution architectures to ensure robust, scalable, and cost-effective deployments.
• Collaborate with sales and marketing teams to position data and AI solutions effectively in the market.
• Strategic Planning and Budgeting:
• Develop and manage departmental budgets, ensuring optimal allocation of resources for project success and profitability.
• Develop strategies to grow the department

• Collaborate with the executive team to align departmental plans with the overall organizational strategy.

Cross-Regional Coordination:

• Work across regions to align data and AI strategies, ensuring consistent delivery and adherence to global standards.
• Foster partnerships and relationships with regional stakeholders to drive the adoption of the company’s solutions.

Innovation and Continuous Improvement:

• Stay updated on industry trends and emerging technologies in data and AI.
• Promote a culture of continuous learning and improvement, ensuring teams are equipped with the latest tools and knowledge.
• Drive the adoption of best practices in data governance, security, and compliance.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, AI, or a related field; Master’s or Ph.D. preferred.
• 10+ years of experience in data management, AI development, or related fields, with 5+ years in a leadership role.
• Expertise in Microsoft Data Warehousing on Fabric, Purview, Databricks, Azure OpenAI, and other AI technologies.
• Strong experience with machine learning models, LLMs, and solution architecture.
• Proven track record in pre-sales, client engagement, large project implementation, and strategic planning.
• Demonstrated ability to manage and expand teams across multiple regions.
• Excellent budgeting and resource management skills.
• Strong leadership, communication, and interpersonal skills.