Data Operations Lead

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Our culture is all about encouraging you to think independently and to challenge convention to deliver the best result. That’s how we continue to achieve extraordinary things in extraordinary locations.

Job description:

Purpose of the role:

The Data Operations Lead is a pivotal position designed to ensure the seamless delivery and optimization of established data capabilities across First Quantum Minerals’ global operations. Reporting to the Group Data Analytics Lead, the Data Operations Lead will manage day-to-day data operations, improve processes and drive interactions between stakeholders, site data teams and regional data teams. By overseeing these aspects, the incumbent will create a more structured, proactive operational environment. This position is integral to achieving a balanced focus on operations, strategy and innovative data solutions.

Key Responsibilities:

The Data Operations Lead will be primarily responsible for

Data Operations & Delivery

Lead and oversee daily operations across data engineering, data science, data product and data analytics functions, ensuring the seamless delivery of capabilities that support First Quantum Minerals' operational and strategic goals. Coordinate and optimise workflows across these data domains to promote effective and scalable processes, creating a consistent approach to service delivery for site and regional data teams. Act as a senior point of contact for escalations within these functions, triaging requests and issues, managing stakeholder expectations and ensuring operational continuity.

Process Optimisation

Identify and implement improvements across data engineering, data science, data product development and data analytics processes to reduce reactive firefighting and foster a more proactive, structured environment. Design and track performance metrics for all data operations, emphasizing continuous improvement and efficiency, ensuring alignment with industry best practices in each data function.

Stakeholder Management & Communication

Build and nurture relationships with key stakeholders across data engineering, data science, data product and data analytics teams, establishing clear communication channels to support effective prioritization and decision-making. Collaborate with the Head of Data to evaluate, prioritize, and negotiate incoming requests across these domains, balancing operational demand with strategic initiatives.

Project Governance & Support

Provide operational and governance support for key data initiatives, such as the development of data marketplaces, computer vision applications and AI-driven data products, ensuring alignment with business objectives and efficient project execution. Aid in the establishment of governance frameworks and tracking mechanisms to ensure smooth project progression, effective resource allocation and timely communication with stakeholders.

Team Leadership & Development

Mentor and develop team members across data engineering, data science, data product and data analytics, fostering a collaborative, performance-driven environment and addressing any conflicts or performance gaps. Ensure continuity of leadership and support across the team, assisting in maintaining focus on team and individual goals within each data function.

Qualifications Required:

Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field; a Master’s degree is a plus. Certification in DataOps/DevOps, or relevant Project Management (e.g., Agile/Scrum) is preferred.

Experience & Skills Required:

8+ years' experience in data operations, data management, data analytics or related fields, with at least 3 years in a leadership capacity. Proven experience in a large, multi-location organization, ideally within the mining, manufacturing, or a similarly data-intensive industry.

Behavioural Traits Required:

Proactive Problem-Solver: Ability to anticipate operational challenges and take initiative to resolve issues before they escalate. Stakeholder-Oriented: Demonstrate strong interpersonal skills with the ability to manage expectations and build relationships across diverse teams and seniority levels. Strategic Thinker: Capable of balancing day-to-day operational needs with long-term strategy, ensuring operational tasks are well-managed without detracting from overall strategic goals. Adaptable Leader: Exhibits flexibility and resilience, able to navigate high-pressure situations while maintaining focus on continuous improvement. Confident Decision-Maker: Comfortable making critical decisions, including assessing priorities and negotiating task loads with senior stakeholders when necessary.

Other Requirements:

Location: London, W1T. Travel: Globally, minimum twice a quarter. Place of Work: Hybrid (3 office days per week).

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