• Line management of 8-12 engineers, including mentoring, performance management, and career development • Lead the people, delivery and processes of our data teams. • Partner with internal and external customers, in addition to Senior Engineering Managers and Staff Engineers, to align our data capabilities across product and technical roadmaps • End-to-end delivery ownership for programmes across teams, ensuring delivery is aligned to business priorities and quality expectations • Champion, measure and refine your team’s AI-first practices • Partner with Engineering Managers and leadership to refine engineering processes, tooling, and team structures • Work directly with Product and commercial teams to ensure delivery goals are aligned, collaborative, and efficient • Use metrics to identify opportunities for improving delivery velocity, team health, developer experience, and system reliability • Promote and uphold engineering best practices across teams, including documentation, technical standards, and quality assurance • Set clear goals and measurable targets for your teams aligned with engineering and business outcomes • Actively support recruitment and onboarding, including interviewing and process improvement. • Represent engineering in broader organisational contexts, including cross-functional meetings, leadership forums, and internal/external presentations

Role Description We are looking for an experienced and communicative Engineering Manager (Data & Analytics) to join our Engineering team and help us drive high performance, alignment, and a culture of continuous improvement across teams. The remit and focus of the role is to lead 2 teams of engineers who are operating AI/agentic first to deliver value for a core product domain. This includes ownership of delivery outcomes, people development, and continuous improvement of engineering practices. It’s a broad and exciting role, so we’re looking for someone up for a challenge - if you're delivery focused and a strong collaborator, this is the role for you. Core Responsibilities - Line management of 8-12 engineers, including mentoring, performance management, and career development. - Lead the people, delivery and processes of our data teams. - Partner with internal and external customers, in addition to Senior Engineering Managers and Staff Engineers, to align our data capabilities across product and technical roadmaps. - End-to-end delivery ownership for programmes across teams, ensuring delivery is aligned to business priorities and quality expectations. - Champion, measure and refine your team’s AI-first practices. - Partner with Engineering Managers and leadership to refine engineering processes, tooling, and team structures. - Work directly with Product and commercial teams to ensure delivery goals are aligned, collaborative, and efficient. - Use metrics to identify opportunities for improving delivery velocity, team health, developer experience, and system reliability. - Promote and uphold engineering best practices across teams, including documentation, technical standards, and quality assurance. - Set clear goals and measurable targets for your teams aligned with engineering and business outcomes. - Actively support recruitment and onboarding, including interviewing and process improvement. - Represent engineering in broader organisational contexts, including cross-functional meetings, leadership forums, and internal/external presentations. Qualifications - Proven leadership of high-performing engineering teams across multiple levels of experience, including effective performance management. - Previous line management and delivery responsibility within a commercially focused data function (warehousing, analytics, integrations, etc). - Outcome focused with an ability to drive high quality delivery; preferably within AI-first environment (or one transitioning to this model). - Good technical and engineering background, with a solid understanding of software engineering fundamentals. - Strong experience working in agile environments using various methodologies. - Hands-on experience using and interpreting metrics to guide delivery and team improvements. - Great communication skills with the ability to influence across engineering, product, and other stakeholders. - Comfortable with disagree/commit and advocating for engineering practices. - Strong collaborative mindset with a focus on alignment, outcomes, and continuous improvement. - Experience managing complex, cross-team programme delivery involving multiple workstreams and dependencies. Bonus Skills - Hands-on experience in a related data field: data engineering, analytics engineering or data science. Benefits - The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work every day. - A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more! - 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas. - Life Assurance paid out at 3x annual salary. - Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks. - Private Dental Insurance with Bupa. - Salary sacrifice Pension provided by Scottish Widows. - Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay. - 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life! - Access to services such as Calm and Bippit (financial wellbeing coaching). - All of our roles champion flexible working and we are happy to discuss what this means to you. - Social committees that plan team, office and company wide events to bring people together and celebrate success. - Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc). - Volunteer with a charity of your choice for a day each year. - Dog friendly offices! Interview Process - Phone screen. - 1st stage. - 2nd stage.

Role Description Calumet is seeking a Senior Manager, Process Engineering to provide enterprise-level technical direction and execution oversight that improves process performance, reliability, and safety across our operations. In this role, you will ensure the consistent application of process engineering systems, practices, and capabilities while developing technical talent and supporting the adoption of new technologies. You'll translate functional direction into scalable, repeatable execution across the organization—making a measurable impact on how we operate. What You'll Do - Drive Process Performance — Lead the development and execution of enterprise process monitoring and performance management systems to ensure consistent, high-quality application across operations. - Provide Technical Oversight — Guide complex process optimization, troubleshooting, and investigations to drive reliable, safe, and efficient operations. - Coordinate Engineering Resources — Prioritize and align internal and external process engineering resources to support operational needs, specialized analyses, and technology assessments. - Champion Best Practices — Facilitate cross-site best-practice networks and knowledge-sharing forums to improve consistency, capability, and technical learning across the organization. - Ensure Quality & Accountability — Oversee the review and quality of unit health monitoring outputs and participate in performance and vendor reviews to assess effectiveness and identify improvement opportunities. - Evaluate New Technologies — Lead technical reviews for new process technologies and significant process modifications to support informed decision-making and risk management. - Build Technical Capability — Oversee the development and implementation of technical training and capability-building programs for process engineering roles. - Develop Talent — Mentor and develop process engineering talent through technical coaching, guidance, and escalation support. - Travel — 50% Qualifications - Bachelor's degree in Chemical Engineering or a related engineering discipline - 15+ years of experience in process engineering roles within refining, specialty products, or chemical manufacturing environments - Demonstrated experience providing technical leadership, coordination, or oversight across multiple teams, sites, or initiatives - Proven track record of collaborating with cross-functional partners such as operations, safety, and other engineering disciplines Requirements - Enterprise process engineering oversight and systems thinking - Complex problem-solving and root cause analysis - Cross-functional collaboration and technical influence - Prioritization and coordination of technical resources - Technical coaching and capability development - Clear written and verbal communication across all organizational levels Benefits Salary and benefits commensurate with experience. We are an equal opportunity employer including disability and veteran. All offers of employment are conditioned upon successfully passing a drug test.

• Lead and develop a team of Technical Support Engineers across multiple experience levels. • Drive team performance through coaching, mentoring, career development, and regular performance management. • Oversee daily support operations to ensure service levels, response times, and customer satisfaction goals are achieved. • Manage escalations, incident workflows, and workload balancing across the team. • Collaborate with Engineering, Product, Customer Success, and Operations teams to resolve complex customer issues. • Monitor support metrics, dashboards, and operational KPIs to identify trends and improvement opportunities. • Conduct escalation reviews, case reviews, and post-incident analysis to improve operational effectiveness. • Support hiring, onboarding, and ramp-up activities for new team members. • Drive continuous improvement initiatives focused on operational efficiency, automation, and customer experience. • Contribute to strategic support initiatives including AI-assisted operations, process optimization, and support readiness for new product releases. • Promote strong documentation and knowledge-sharing practices across the organization. • Participate in leadership discussions, cross-functional planning sessions, and customer-facing operational reviews. • Foster a collaborative, customer-focused, and high-performance team culture.