Adam Lowe FHEA

• Strategically lead the data engineering team, providing technical direction, expertise, training and mentoring.
• Implement new technologies and control the engineering budget (Azure, Databricks, Microsoft Fabric) to perform ETL/ELT across the global operations of Navitas, supporting the reporting model and AI pipelines.
• Manage the Databricks architecture, formulating excellence standards across code and CI/CD, including code formatting, pre-commit hooks, PR structures and effective unit and regression testing.
• Maintain the dbt architecture, ensuring effective data governance across lineage, data contracts, types, schemas and more.

• Skilled in designing and implementing robust business intelligence solutions, delivering tailor-made analytics dashboards and reports aligned with business objectives.
• Skilled in engineering and implementing efficient databases, documenting schemas, workflows and maintenance.
• Proficient in collaborating with cross-functional teams, bridging the gap between technical and non-technical stakeholders, and fostering data-driven cultures within organisations.
• Track record in designing and implementing data strategies ensuring compliance, data integrity, and best practices while optimising data workflows for enhanced efficiency and productivity.

• Creating, developing and maintaining optimal data pipeline architecture in multiple global regions to provide greater access to information (data and metadata) for the business.
• Establishing and maintaining Master Data Management capability including reference and 'golden record' data.
• Assembling large, complex raw, domain and aggregate datasets and surfacing these via dimensional analytical models for self-service.
• Configuring, developing and maintaining an advanced analytics platform for Data Scientists and Data Analysts, assisting in the development of ML models (categorisation, prediction etc.) and implementing these in current and new data pipelines.
• Identifying, designing and implementing internal process improvements: automating manual processes, optimising data delivery, re-architecting infrastructure for greater scalability and portability.
• Ensuring code is managed, validated and released using best practices (DevOps), making effective use of automation for these processes.
• Working with the Data & Architecture Team Lead to ensure development work is captured, monitored and reported using an agile framework.

• Leading on the delivery of an effective reporting, analytics, and information delivery framework to enable data driven decision making, using tools such as Python, Power BI, SQL, and other advanced reporting tools.
• Working directly with the UPE Leadership Team, colleges, and functions to design and build metrics, dashboards, and reports that support data driven decision making.
• Working as part of the global Evidence development team to create new data pipelines and automation capability, using Databricks and Azure DevOps.
• Creating models utilising Machine Learning capabilities within Python and Databricks, to improve predictive measures across sales and marketing and other global departments.
• Working with the global team on developing data aggregation capability to centralise business data and create a single source of truth.

• Responsible for providing management and direction to the Student Services function and Virtual Learning Environment within SAE to ensure successful student progression, retention, qualification completion and student satisfaction, through the use of data analytics.
• Leading on many data analytic projects, including the implementation and monitoring of engagement analytics, module surveys, learner analytics and more.
• Proven and demonstrable experience in managing projects, regulatory affairs, creating strategies, service delivery, data analytics and engaging stakeholders to achieve long and short-term strategic goals.

• Key and visible member of the Student Experience Team in assuring a high-quality support experience in the SAE Liverpool Campus.
• Provided data analytics and reporting on students' academic performance and engagement, reporting to academic and operational staff.
• Provided financial analysis on student debt to the global financial team.
• Contributed to budgeting and forecasting within the Campus.

• Led on the student data analytics and processes, collaborating with other universities to define sector best practices and approaches.
• Defined processes on how we collect data for students within the educational lifecycle and how we present it.

• Advised HESA on the implementation and administration of the Graduate Outcomes survey, a UK regulated survey on graduates.
• Performed analysis on questions and responses to generate insight into potential structure and question language changes.

• Supporting global research projects that tackle social issues like poverty, global warming and public health.
• Exploring and wrangling Big Data to make sense of complex datasets.
• Providing insight and analysis using Python and contributions to code.

Fellowship demonstrates a personal and institutional commitment to professionalism in learning and teaching in higher education.

Thesis: Statistical research and analysis into the perception of Mastering.