ALU - Enrollment Operations & Process Lead
Requirements
• Experience (typically 1-2 years) in a data, systems, or operations role involving process design and infrastructure building ideally within higher education or a comparable data-rich, target-driven environment. • Strong hands-on experience with AI tools and/or CRM platforms (Salesforce preferred) and the ability to translate business requirements into technical specifications • Practical data engineering skills and comfortable with data modelling, structuring fields/objects, and working with data pipelines, not just dashboard tools • Skilled in building dashboards and reporting tools independently (e.g. CRMA, Tableau, Looker Studio, Power BI) • Experience building or working with market/competitive intelligence, pulling together disparate data sources (demographic, economic, institutional) into a usable view • Strong systems thinking and able to assess whether a problem needs an interim workaround or a structural fix, and design accordingly. • Experience working in fast-scaling, imperfect-systems environments (e.g. high-growth startups, emerging markets, education) preferred. • Strong written and verbal communication and able to present data-driven findings clearly to non-technical stakeholders and leadership • Bachelor's degree preferred in a relevant field (Data Science, Engineering, Computer Science, Software Engineering, or related) or demonstrable experience in AI builds. • Data modelling and structuring • CRM configuration and field/object design (Salesforce) • Dashboard and reporting tool development (CRMA, Tableau, Looker Studio, or similar) • Data pipeline and systems integration • SQL or equivalent query language • Process mapping and workflow design • Market and competitive intelligence research • Data quality auditing and root-cause diagnosis • Stakeholder translation: converting business needs into technical requirements • Naturally curious and drawn to understanding why something is broken before fixing • Builder's mentality who would rather create a working solution than wait for the perfect one • Self-motivated and comfortable operating with ambiguity, without needing a fully defined process to start • Detail-oriented, without losing sight of the bigger commercial picture • Comfortable working independently, but collaborative when a solution needs buy-in or a build from another team
Responsibilities
• Data & Process Design • Map and design how data should be structured, captured, and qualified across the recruitment funnel, end to end • Identify gaps or breakdowns in current data flows and design the fix and whether that's a process change, a new field, or a new tool • Define and maintain qualification logic (e.g. how a lead is assessed and progressed) so it's consistent and usable across markets and teams • Design the data model for distinguishing fee-paying capability at the point of lead capture, drawing on school data, funding signals, and engagement behaviour • Design how future-intake and not-yet-eligible leads are captured and tracked, so prospects aren't lost between intake cycles • Define how qualification stages map to system fields, so manual trackers (e.g. SQL sheets) can eventually run inside core systems rather than alongside them • Systems & Infrastructure Building • Translate process designs into clear specifications for system builds, working with the central data and transformation team where platform-level change is needed • Build and maintain interim tools, trackers, and dashboards directly where they're needed faster than a platform build allows • Bring strong data and systems engineering judgement to decide what should be built where a quick fix vs. structural solution • Maintain documentation of current data architecture and dependencies, so infrastructure knowledge doesn't sit with one person or disappear with staff turnover • Own data integrity checks across core systems and connected reporting tools, catching structural issues before they reach leadership dashboards • Market & Applicant Intelligence • Optimise high school data into an intelligence layer on fee-paying likelihood, engagement history, and conversion patterns to sharpen how reps prioritise outreach • Build economic and demographic context into market views (e.g. affordability shifts, currency movement) to explain conversion or pricing sensitivity by market • Build and maintain applicant pool intelligence, funnel behaviour, drop-off points, and conversion patterns by market, programme, and source • Reporting & Dashboards • Own core enrollment dashboards and reporting, ensuring they reflect a reliable, qualified view of the pipeline • Lead recurring pipeline and performance reporting, with insight-driven commentary, not just raw numbers • Work with central data and transformation team to maintain a standardised set of reporting definitions and formats across markets and intakes • Build and maintain views of pipeline and conversion performance, enabling year-on-year and cohort-level comparison • Collaboration • Act as the primary point of contact with the central data and transformation team for enrollment's infrastructure needs • Work closely with regional recruitment and admissions colleagues to ensure designs reflect how the work actually happens on the ground • General • Continuously identify opportunities to improve data quality, reporting, and process efficiency across the function • Stay current on relevant data, systems, and market intelligence tools and practices • Other duties as reasonably assigned
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