Job Description

UP Professional and Support

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DEPARTMENT OF INSTITUTIONAL PLANNING, MONITORING, AND EVALUATION


SENIOR MANAGER: INSTITUTIONAL ANALYTICS


PEROMNES POST LEVEL 5

In pursuit of the ideals of excellence and diversity, the University of Pretoria wishes to invite applications for the following vacancy.

The University of Pretoria's commitment to quality makes us one of the top research Universities in the country and gives us a competitive advantage in international science and technology development.



KEY RESPONSIBILITIES:


The primary purpose is to regularly provide management information to the Executive, Deans and Heads of Departments for strategic planning purposes, self and external evaluation. Proactively identify and initiate information projects from which the results can be used for policy formulation and strategic planning. The information required includes interpretive and qualitative analyses supported by predictive modelling and data. S/he directs and manages data collection, data analysis, and research activities relative to institutional research.


The incumbent responsibilities include but are not limited to:

Leading advanced scenario and impact modelling using AI-assisted simulation tools, econometric forecasting, and system dynamics modelling to anticipate future developments in higher education and science systems. Conducting horizon scanning and trend analysis (including AI, policy, and socio-economic trends) to identify strategic opportunities and threats for UP. Developing adaptive enrolment and growth forecasts integrating machine learning models and real-time data from internal and external sources. Translating insights into strategic narratives for executive and council-level decision-making Providing advanced data-driven support for institutional strategic planning, including multi-scenario resource modelling and sustainability forecasting Leading the development of strategic dashboards integrating operational, academic, and financial KPIs using modern BI and AI platforms. Directing the design, deployment, and governance of AI and machine learning models that enhance institutional intelligence (e.g., enrolment prediction, retention risk modelling, and research performance analytics). Overseeing the use of cloud-based data pipelines and platforms (e.g., Google Cloud, Power BI, Python, R, SQL) for data integration and analysis. Building and refining dynamic decision-support systems using advanced BI tools, generative AI, and interactive simulation environments. Developing transparent allocation models for budgets, subsidies, and tuition structures, underpinned by predictive analytics and optimisation algorithms. Implementing responsible AI governance, ensuring compliance with data ethics, security, and privacy regulations (POPIA, GDPR, and UP Information Governance Framework). Initiating and managing applied institutional research projects leveraging AI-assisted data mining, sentiment analysis, and qualitative analytics to inform academic and operational excellence. Publishing or presenting findings in professional and academic forums (e.g., SAAIR, AIR, and international analytics consortia). Creating institutional performance scorecards integrating efficiency, quality, equity, and impact indicators for strategic reporting. Driving continuous innovation through partnerships with ICT, Education Innovation, and Research Offices on data-centric transformation projects.


MINIMUM REQUIREMENTS:

A Masters degree in Data Science, Artificial Intelligence, Information Systems, Statistics, Mathematical Statistics, and relevant fields; 5 years of progressive experience (of which 2 years in a managerial or leadership capacity); Experience in the following: + Demonstrated experience in SQL Server, ETL processes, data modelling, and dashboard development;
+ Proven ability to design data visualisations and prescriptive reports for executive and operational audiences;
+ Demonstrated ability to manage data systems, integrations, and reporting automation within complex organisations.



REQUIRED COMPETENCIES (SKILLS, KNOWLEDGE, AND BEHAVIOURAL ATTRIBUTES):

Knowledge of analytics, machine learning, and predictive modelling techniques to support strategic decision-making and institutional performance; In-depth understanding of the South African higher education environment, including DHET frameworks and funding; Proficiency in BI platforms (Power BI, Tableau, or equivalent) and data storytelling for executive and operational insight; Advanced Data Analytics and Modelling; Business Intelligence and Visualisation Tools; Proficiency in Python, R, SQL, and experience in automating analytical workflows, data extraction, and reporting using scripts and APIs; Comprehensive understanding of emerging technologies such as AI, automation, and advanced analytics, and their strategic application in higher education; Knowledge of project tracking and agile management systems (e.g., Jira, MS Project, Trello); Expertise in horizon scanning, environmental analysis, and scenario modelling to inform institutional strategy and long-term planning; Demonstrates the ability to view the institution holistically, connecting data insights to strategic outcomes and long-term planning. Anticipates future trends and aligns analytics initiatives with institutional priorities; Ensures the ethical use of data and AI in decision-making, maintaining transparency, fairness, and accountability. Champions data privacy, integrity, and compliance with institutional and legal frameworks; Builds strong partnerships across academic, administrative, and IT functions. Influences decision-making through clear communication of analytical insights and cultivates trust across diverse stakeholders; Translates complex analytical findings into compelling, accessible narratives for executive and non-technical audiences. Uses visualisation and storytelling to drive evidence-based decisions; Adapts quickly to new technologies, changing institutional priorities, and evolving data landscapes. Promotes continuous learning within the team; Leads interdisciplinary teams with vision and empathy. Mentors staff in advanced analytics, AI literacy, and collaborative problem-solving. Fosters inclusion, curiosity, and professional growth; Demonstrates sound judgement and the ability to make timely, evidence-informed decisions. Evaluates risks, considers alternatives, and applies critical thinking to complex institutional challenges; Provides exceptional analytical and advisory services that meet the needs of internal and external stakeholders. Maintains professionalism and responsiveness in all interactions; Takes ownership of outcomes, remains composed under pressure, and consistently delivers high-quality outputs within deadlines. Maintains a strong sense of purpose and commitment to institutional excellence.


ADDED ADVANTAGES AND PREFERENCES:

A Doctoral degree in Data Science, Artificial Intelligence, Information Systems, Statistics, Mathematical Statistics, or relevant fields; 6 years of progressive experience (of which 3 years in a managerial or leadership capacity); Experience in both higher education and private sector analytics environments, leveraging cross-sectoral insights for innovation, efficiency, and impact; Proven experience in AI model deployment, data governance, and automation of analytical workflows; Involvement in large-scale digital transformation or data modernisation projects, preferably within institutions undergoing strategic renewal or system integration; Professional affiliation with a recognised body such as the Southern African Association for Institutional Research (SAAIR), Association for Institutional Research (AIR), or equivalent; Certification in data analytics, data science, or AI-related tools (e.g., Google Cloud Data Engineer, Microsoft Certified: Data Analyst Associate, AWS Machine Learning Specialty, or TensorFlow Developer Certification); Certification or formal training in data governance, AI ethics, or information management frameworks (e.g., DAMA International, DCAM, ISO/IEC 38505, or equivalent).


PLEASE NOTE: All shortlisted candidates may be required to participate in relevant skills assessments as part of the selection process.



The annual remuneration package will be commensurate with the incumbent's level of appointment, as determined by UP policy guidelines. UP subscribes to the BESTMED and UMVUZO medical aid schemes and contributes 50% of the applicable monthly premium.



Applicants are requested to apply online at www.up.ac.za, and follow: Careers@UP.



In applying for this post, please attach:

Cover letter; A comprehensive CV; Certified copies of qualifications; Names, e-mail addresses and telephone details of three referees whom we have permission to contact.


CLOSING DATE: 30 January 2026



No application will be considered after the closing date, or if it does not comply with at least the minimum requirements.


ENQUIRIES: Ms M Molema, Tel: (012) 420 2903, maryjane.molema@up.ac.za for application-related enquiries.


Dr Hossein Masoumi Karakani, hossein.masoumi-karakani@up.ac.za for post related content.



Should you not hear from the University of Pretoria by 30 April 2026, please accept that your application has been unsuccessful.

The University of Pretoria is committed to equality, employment equity and diversity.

In accordance with the Employment Equity Plan of the University and its Employment Equity goals and targets, preference may be given, but is not limited to candidates from under-represented designated groups.

All candidates who comply with the requirements for appointment are invited to apply.

By applying for this vacancy, the candidates consent to undergo verification of personal credentials and related information including, but not limited to, qualifications, criminal record, credit record, current and historic disciplinary proceedings as part of the selection process.

The University of Pretoria reserves the right to not fill the advertised positions.