Job
Description
Grade GResponsible for delivering business analysis and consulting activities for the defined specialism using advanced technical capabilities, building and maintaining effective working relationships with a range of stakeholders, ensuring relevant standards are defined and maintained, and managing process and system improvements to deliver business value. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation. Entity: Technology ITS Group You will work with You will lead a high-energy, top-performing team of engineers and product managers, working alongside technology and business leaders to shape the vision and drive the execution of transformative data initiatives that make a real impact. Let me tell you about the role As a Staff Data Catalog Manager, you will play a strategic role in shaping and securing enterprise-wide technology landscapes, ensuring their resilience, performance, and compliance. You will provide deep expertise in security, infrastructure, and operational excellence, driving large-scale transformation and automation initiatives. Your role will encompass platform architecture, system integration, cybersecurity, and operational continuity. You will be collaborating with engineers, architects, and business partners, working to establish robust governance models, technology roadmaps, and innovative security frameworks to safeguard critically important enterprise applications. What you will deliver Lead enterprise technology architecture, security frameworks, and platform engineering for our core data platform. Lead all aspects of the end-to-end security of our unified data platform, ensuring compliance with industry standards and regulatory requirements. Drive enterprise operations excellence, optimising system performance, availability, and scalability. Provide leadership in enterprise modernization and transformation, ensuring seamless integration with enterprise IT. Establish governance, security standards, and risk management strategies aligned with global security policies. Design and implement automated security monitoring, vulnerability assessments, and identity management solutions for enterprise environments. Drive CI/CD, DevOps, and Infrastructure-as-Code adoption for enterprise deployments! Ensure disaster recovery, high availability, and resilience planning for enterprise platforms. Engage with technology teams, and external vendors to ensure enterprise solutions align with enterprise goals. Mentor and lead enterprise engineering and operations teams, fostering a culture of excellence, innovation, and continuous improvement. Provide technical recommendations on enterprise investments, cybersecurity threats, and operational risks. Lead a team of engineers and accelerate their growth by providing thoughtful feedback, technical mentorship. Partner with senior engineers to build and champion a long-term tech roadmap to reduce operational burden, ensure scalability, reduce risk, and push the team towards step-changes in operational sustainability. Collaborate across teams to prioritize, build and align strategies that improve bp s ability to scale. What you will need to be successful (experience and qualifications) Technical skills we need from you Bachelor s degree in technology, Engineering, or a related technical discipline. 8+ years of experience in enterprise technology, security, and operations in large-scale global environments. Experience implementing CI/CD pipelines, DevOps methodologies, and Infrastructure-as-Code (AWS Cloud Development Kit, Azure Bicep, etc.). Deep knowledge of ITIL, Agile, and enterprise IT governance frameworks. Essential skills Proven technical expertise in Microsoft Fabric, Microsoft PowerBI, Business Objects, Tableau, and Spotfire. Strong understanding of data ingestion, pipelines, governance, security, and visualization. Experience designing, deploying, and optimizing multi-cloud data visualization platforms that support large-scale, cloud-native workloads balancing cost efficiency with performance and resilience. Hands-on performance tuning, data indexing, and distributed query optimization. Experience with real-time, and batch data streaming architectures. Skills that set you apart Proven success navigating global, highly regulated environments, ensuring compliance, security, and enterprise-wide risk management. AI/ML-driven data engineering expertise, applying intelligent automation to optimize workflows.
