Head of Data Science & AI

Head of Data Science & AI - Perm Role - Remote (UK) - Salary Upto £120K + Bonus

Our global management consultancy is seeking a visionary Head of Data Science & AI to lead the data and AI-driven transformation of our organization and client solutions. As the Head of Data Science & AI, you will leverage technologies such as Databricks, PySpark, Azure Data Factory, Knowledge Graphs, Power BI, and SSRS to enhance decision-making, improve operational efficiency, and enable AI integration across the firm. Your leadership will foster collaboration with senior management and key stakeholders, ensuring that data-driven solutions align with the company's strategic objectives and drive client success.

Key Responsibilities:

1. Develop and implement a comprehensive data strategy that aligns with the company’s objectives, focusing on creating a unified data ecosystem across all global operations.
2. Oversee the design and execution of data governance frameworks, ensuring compliance, data quality, and security at all levels of the data lifecycle.
3. Lead the adoption of best practices for data management and data governance, ensuring that all data-related activities align with industry standards and legal requirements.
4. Spearhead the integration of AI technologies and machine learning models to enhance business processes, improve client outcomes, and create new revenue opportunities.
5. Lead the development of AI-driven analytics solutions that address business challenges, providing insights that influence strategic decision-making at the global level.
6. Oversee the implementation of advanced machine learning algorithms, predictive models, and automation tools to drive both internal and client-facing solutions.
7. Lead the creation and deployment of actionable reporting and data visualization solutions, utilizing Power BI and SSRS to enable real-time business insights for clients and internal stakeholders.
8. Design and manage global dashboards and analytics reports that provide key performance indicators (KPIs), trends, and actionable insights across business units.
9. Work closely with consulting teams to translate client needs into effective data solutions, enabling data-driven recommendations in a consultative manner.
10. Oversee the integration of key data platforms, including Databricks, PySpark, Azure Data Factory, and Knowledge Graphs, ensuring they are utilized to their full potential across global data initiatives.
11. Optimize data pipelines, ETL processes, and analytics workflows to enhance system performance, scalability, and efficiency in cloud-based environments.
12. Ensure the effective and efficient utilization of data technologies, integrating them across various business units to deliver business value.
13. Manage and mentor a high-performing, global team of data scientists, engineers, and analysts to build a collaborative, data-driven culture.
14. Lead recruitment efforts, foster professional development, and establish a strong culture of innovation, ensuring the team stays at the forefront of data science and AI trends.
15. Collaborate with senior leadership and cross-functional teams to align data and AI projects with broader company and client goals, ensuring strategic objectives are met.
16. Lead the development of customized data and AI solutions for clients across various industries, tailoring approaches to each client’s unique needs and challenges.
17. Act as a subject matter expert, delivering strategic insights and recommendations to clients based on data-driven analysis.
18. Work closely with client-facing teams to drive the adoption of data solutions, supporting client relationships with technical expertise and thought leadership.
19. Collaborate with global leadership and consulting teams to align data initiatives with company objectives and client demands.
20. Ensure cross-functional coordination between data science, analytics, IT, and business teams to drive successful implementation of data and AI solutions.
21. Act as a key liaison between technical teams and non-technical stakeholders, bridging the gap between business goals and data-driven solutions.

Required Skills & Qualifications:

1. Must have experience as a Data Architect.
2. Databricks (big data analytics and machine learning platform)
3. Knowledge Graphs (for advanced data relationships and insights)
4. Power BI and SSRS (business intelligence, reporting, and visualization tools)
5. Azure Data Factory (cloud data integration and ETL solutions)
6. Advanced AI and Machine Learning techniques (including supervised, unsupervised learning, NLP, deep learning)
7. Strong understanding of data architecture, ETL processes, and data integration frameworks.
8. Proven experience in leading global teams, managing complex data-driven projects, and working in cross-functional environments.
9. Expertise in data governance, data security, and compliance best practices across global operations.
10. Experience with cloud computing platforms, especially Azure, and managing cloud-based data ecosystems.
11. Deep knowledge of advanced analytics, data modeling, and AI-driven solutions across diverse industries.

Preferred Qualifications:

1. Advanced degree Master’s in Data Science, Computer Science, Engineering, or a related field.
2. Proven track record of successfully leading large-scale AI and data initiatives for global clients.
3. Experience working in a global management consultancy or similar advisory environment.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology, Consulting, and Other

Industries

IT Services and IT Consulting and IT System Data Services