Lead Data and AI Engineer

Lead Data and AI Engineer

Key Responsibilities:
Lead and Inspire

- Drive the vision, execution, and continuous improvement of the company's data and AI team.

- Mentor a high-performing team, instilling best practices and innovative thinking.

- Align projects with business strategy and deliver outcomes that matter.

Engineer & Innovate

- Design robust, scalable data pipelines and integrate diverse data sources.

- Champion best-in-class data governance, quality, and architecture standards.

- Partner with product and engineering to create data-driven solutions for real-world challenges.

Drive Generative AI Strategy

- Shape the company' s roadmap for generative AI.

- Build and prototype cutting-edge AI tools that support both clients and internal teams.

- Advocate for ethical, impactful AI across the organisation.

Communicate with Impact

- Deliver insights through interactive dashboards and automated reports.

- Present strategic data narratives to executives and stakeholders.

- Foster data literacy company-wide through training and knowledge sharing.

What Were Looking For

- A degree in a STEM field (BSc, BEng, or higher).

- Hands-on experience in Python, SQL, and modern AI/ML frameworks.

- Strong knowledge of cloud platforms, especially AWS.

- Expertise in building and scaling data architectures and pipelines using Airflow.

- Proficiency in Power BI for creating and managing data visualisations and dashboards.

- Solid understanding and experience with MySQL database management and querying.

- Leadership skills that inspire collaboration, innovation, and ownership.

- A natural mentor and team builder.

- Clear, confident communicator with executives and engineers alike.

- Highly organised but adaptable, you thrive in a fast-moving, purpose-driven environment.

Originally posted on Himalayas