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Valenture Institute is a private online high school offering an academically rigorous, socially-rich learning experience that equips students with the skills and courage to drive social change for a sustainable future.
Description
Valenture Institute partners with the world’s leading education institutions to transform physical limitations into digital opportunities. We create new opportunities for students to choose an aspirational online learning experience by offering fully-supported online high school programmes.
As a social enterprise, Valenture Institute is also committed to levelling the playing field and increasing access for all students through free curriculum offerings, extensive scholarship programs and blended learning micro schools in underprivileged communities.
The role:
Summary:
The Head of Data leads a team of data professionals to build efficient data pipelines and infrastructure, develop robust data models, and deliver descriptive, diagnostic, predictive and prescriptive analytics, data visualisations and insights that drive informed business decisions and help identify risks and opportunities.
Responsibilities:
Data team leadership including team structure, recruitment, mentorship, performance management and professional development.
Oversee the design, implementation and management of our data architecture, infrastructure and information strategy.
Oversee the quality of the work being produced across the data science workflow, including data engineering, data exploration, statistical analysis, and advanced analytics.
Support the DS&T Engineering team with design, planning and implementation of solutions that involve key data infrastructure. Identify dependencies on other teams and work with the DS&T project management to plan and track.
Participate in Product Steering Team sessions to provide input on requirements, decisions and solutions that impact our data architecture or information strategy.
Data team budget forecasting, optimisation, management and reporting against agreed KPIs.
Key vendor selection, contract negotiation and SLA management.
Partner with key business stakeholders to ensure that the work of the data team is aligned with business strategy and delivers accurate, relevant and up-to-date information to enable them to make informed decisions, mitigate risks, optimise resources and identify new opportunities. Work with stakeholders to understand problems and how the data science best practice, Data and Analytics team members as well as Data stack can adapt to better serve their needs.
Identify and triage data-related risks and hygiene issues.
Work with Valenture Institute’s legal, risk and governance teams to design and implement data management procedures, policies and practises to ensure compliance with relevant legislation including POPIA, PAIA and GDPR.
Implement appropriate security measures and perform routine and proactive security audits and tests and ensure compliance with appropriate standards and practises. Assist in the response to and resolution of data incidents should they occur.
Maintain up-to-date data science best practice, encompassing data engineering workflow, data modelling workflow, project management for data science, and advanced analytics implementation.
Advise senior management and members of the data science team on how to maximise value from data resources and assets (e.g. delivery of actionable insights, ROI from advanced analytics projects, and the number of reusable data pipelines and data assets delivered).
Be an advocate for a data-driven culture in the Data team and across the business.
Investigate and implement appropriate data tools, frameworks and methodologies within the Data team.
Provide technical support and mentorship to members of the Data team and assist senior management to identify resource gaps and training needs.
Produce and execute a roadmap for good data hygiene with measurable outputs and checkpoints that provide clear visibility on progress.
Produce and maintain documentation to communicate the data infrastructure, processes, gaps, tooling, standards, risks, sources, architecture and other relevant information relating to Valenture Institute’s data management.
Requirements
Qualified with either a relevant software background (e.g. BSc Computer Science, Engineering or Information Systems) combined with extensive data science experience; or a data science background (e.g. Actuarial Sciences, Applied Mathematics, Statistics) with extensive software experience
5+ years data science experience with a proven track record of delivering high-value data outputs that have meaningfully impacted business performance
5+ years data engineering experience
3+ team leadership experience
Solid predictive modelling, mathematical and statistical skills
Proficient with technologies such as DBT, Snowflake, Looker, Fivetran, Airbyte, AWS
Strong SQL skills
Programming experience with a relevant language such as Python
Exceptional communication skills with both technical and non-technical audiences
High EQ
Meticulous attention to detail
Proven organisational and leadership abilities
Strategic thinking
Advantageous:
Masters degree
Education/academic domain experience
Experience with EdTech software systems (e.g. Moodle)
Relevant AWS certifications
Benefits
Family member discount to Valenture Institute
Remote working
Voluntary savings programme
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