Lead Consultant - Data Ops Engineer

Accountabilities

• Strategic Leadership: Evaluate current platforms and lead the design of future-ready solutions, embedding AI-driven efficiencies and proactive interventions.
• Innovation & Integration: Introduce and integrate AI technologies to enhance ways of working, driving cost-effectiveness and operational excellence.
• Platform Maturity & Management: Ensure platforms are scalable and compliant, with robust automation and optimized technology stacks.
• Lead Deliveries: Oversee and manage the delivery of projects, ensuring timely execution and alignment with strategic goals.
• Thought Leadership: Champion data mesh and product-oriented work methodologies to continuously evolve our data landscapes.
• Quality and Compliance: Implement quality assurance processes, emphasizing data accuracy and security.
• Collaborative Leadership: Foster an environment that supports cross-functional collaboration and continuous improvement.

Essential Skills/Experience

• Extensive experience with Snowflake, AI platforms, and cloud infrastructure.
• Proven track record in thought leadership, platform strategy, and cross-disciplinary innovation.
• Expertise in AI/GenAI integration with a focus on practical business applications.
• Strong experience in DataOps, DevOps, and cloud environments such as AWS.
• Excellent stakeholder management and the ability to lead diverse teams toward innovative solutions.
• Background in the pharmaceutical sector is a plus.