Head of Data & AI

As the Head of Data & AI at LGC, your primary responsibilities include defining and implementing a comprehensive roadmap for data and AI maturity across the organization. You'll design scalable architectures to power analytics and AI innovation, oversee the delivery of AI use cases from proof of concept to enterprise adoption, and establish a robust data governance framework. Leadership is key, as you'll mentor a cross-functional team while ensuring collaboration across departments to translate technical vision into impactful business outcomes.

Candidates for the Head of Data & AI position at LGC should ideally possess a Master's or PhD in Data Science, AI, Computer Science, or a related field, along with over 7 years of experience in analytics, data science, or AI, including at least 5 years in a senior leadership role. A deep understanding of data governance, privacy regulations, and strong technical skills in cloud platforms like AWS or Azure is essential. Exceptional communication and collaboration skills are also highly valued, especially at the executive level.

The Head of Data & AI at LGC plays a crucial role in influencing the company's digital transformation. By crafting a strategic roadmap for AI and data initiatives, you'll drive enterprise-wide adoption of innovative solutions. Your leadership will foster a culture of data-driven decision-making, enhancing efficiencies and capabilities within various departments, from HR to Life Sciences, thereby ensuring that every function is aligned towards achieving impactful business results.

LGC values passion, integrity, curiosity, and a commitment to brilliance in its Head of Data & AI. We're looking for a leader who can inspire and mentor a diverse team while championing responsible AI practices and modern data governance. A collaborative mindset and the capability to drive change across various functions are essential, as is a strong alignment with our mission to impact the world positively through scientific advancement.

At LGC, the work culture for the Head of Data & AI is dynamic and driven by integrity, innovation, and curiosity. Flexibility and hybrid working are encouraged to maintain work-life balance. The organization fosters autonomy and visibility, allowing you to have a significant influence at the executive level. As part of a mission-led company, you'll be part of a team that values individual talents and encourages creativity and collaborative problem-solving.

To define a comprehensive roadmap for data and AI maturity, it's essential to start by assessing the current state of data capabilities within LGC, identifying gaps, and setting clear, measurable goals. You'll want to prioritize initiatives that align with business objectives and ensure stakeholder buy-in. Engagement with cross-functional teams throughout the process fosters collaboration and helps translate technical goals into strategic business outcomes.

In leading enterprise-scale data and AI programs, I've successfully managed teams that oversaw the development and implementation of several high-impact projects. For instance, I led a project that integrated advanced analytics into our operations, resulting in significant efficiency improvements. I focus on regularly evaluating program performance against set KPIs and adjusting strategies to enhance impact.

Promoting a culture of data-driven decision-making involves providing training and resources that empower all employees to utilize data in their roles. I encourage data literacy initiatives and ensure that insights are easily accessible across departments. Additionally, I advocate for regular workshops and collaborative meetings where teams can share how data has influenced their decision-making processes.

Key emerging technologies that are essential for future-proofing data capabilities include machine learning algorithms that enhance predictive analytics and natural language processing that improves data accessibility. Furthermore, the adoption of cloud solutions provides scalability and flexibility, while innovations in data governance tools ensure compliance and quality as data volumes grow.

My approach to data governance involves establishing a strong framework that encompasses quality assurance, compliance, and security protocols. I prioritize creating clear policies surrounding data access and usage, ensuring that all stakeholders understand their responsibilities. Regular audits and updates to governance policies help us keep up with changing regulations and best practices.

Handling resistance to change requires empathy and strong communication. I focus on understanding concerns and addressing them transparently. I involve teams early in the change process, soliciting their feedback and encouraging ownership. Highlighting quick wins from initial implementations also helps demonstrate the value of the change and gains wider acceptance.

One successful AI use case I delivered was an automated analytics dashboard for operational efficiency monitoring. This project involved cross-functional collaboration where I guided a team through the proof of concept phase, eventually scaling it across the enterprise. The solution significantly reduced manual reporting times and provided real-time insights, leading to informed decision-making.

I believe in a mentorship approach that encourages open communication and regular feedback. I conduct individual development plans that align personal goals with organizational objectives. Moreover, I encourage team members to pursue training opportunities and foster an environment where knowledge sharing and collaboration are the norm, enabling growth for everyone involved.

Staying updated with the latest trends in data and AI is crucial, and I regularly follow industry publications, attend relevant conferences, and participate in online communities. Networking with other leaders in the field also provides valuable insights. Continuous learning is a priority for me, ensuring that I can bring innovative strategies to LGC’s data and AI initiatives.

My vision for the role of data in driving business outcomes hinges on leveraging data as a strategic asset. By embedding data at every decision-making level, we can uncover new opportunities, enhance operational efficiencies, and ultimately deliver better value to our customers. I aim to create an environment where data is not just collected but analyzed and utilized to inform future strategies.