Enterprise Data Lead

We are seeking an experienced and visionary leader for our Data Eco-System Team, you will lead a group of technicians, data engineers and analysts. You will work with business stakeholders in other departments and drive operational excellence into our delivery. You will be a self-starter, have worked to mature a data environment which has many conflicting demands on a small team. Someone not afraid to roll their sleeves up, maybe you have been a Deputy and you are looking for the next step up. The role reports to our Head of Core Business Systems. As our technical expert, mentor, and strategic thinker who plays a pivotal role in enabling data-driven decision-making across the organization. This role combines hands-on engineering with leadership, architecture design, and collaboration across multiple departments. Key Responsibilities: Deliver operationally for our team and our business: Review and implement process flows and governance to assure the data is accurate, on time and meets the quality. Design and Operationalize a Scalable integrated Data Framework: Design and implement data integration frameworks; deliver audit/validation routines and manage the continuous improvement of data, integrations and flows across the landscape. We are a small team so automation is key where feasible. MDM Strategy Execution: Collaborate with governance and architecture teams to operationalize the MDM framework. Focus on Corporate Reg/Legal, Customer, our People and our Products. Data Cleansing & Deduplication: Operationalise processes to eliminate duplication or tasks, or records and ensure consistency across interconnected systems working with the Data Owners. Integration Oversight: Manage our Integration Specialists to monitor and optimize data flows across platforms. Drive delivery and set priorities. Data Migration & Transformation: Perform end-to-end data transformation and migration using tools such as SQL, Excel, PowerBI, VBA, and Python . Dashboarding & Reporting: Leverage Power BI to visualize data quality metrics and generate actionable insights. Stakeholder Engagement: Work directly with the Business as a data subject matter expert, translating technical insights for stakeholders across Engineering, Cybersecurity, Product, and Business teams. Bring them with us! Documentation: Oversee detailed records of data flows, governance policies, quality protocols, and integration processes. Support the delivery of Data Models and the Architectural landscaping. Technical Skills & Qualifications: Managing a team: you will have led a team or been the deputy manager for a delivery focused team, preferably cross discipline. Communication skills: you will have worked across a business and had experience Data Proficiency: Advanced skills in SQL, Excel, PowerBI, VBA, and Python for data manipulation and transformation. MDM & Governance: Strong knowledge of master data management frameworks and governance practices. Integration Tools: Hands-on experience with Boomi, APIs or similar tools. Ability to script and review scripts; a nice to have would be Anaplan, Salesforce, ServiceNow, Snowflake. Data Visualization: Skilled at visualising MI reports for Business Stakeholders (who are data literate and not). Education: Bachelor’s degree in IT, Data Science, Engineering, or related field. Experience: 7-10 years in data engineering, with a track record of leading large-scale transformation projects. Would be really good to have: Enterprise Systems: Good understanding of data structures in Salesforce and NetSuite. Business Process Knowledge: Familiar with lead-to-cash workflows and related business processes. Tools: Experience with JIRA and ITSM platforms is beneficial. #LI-PB1