Job Advert Summary
Unifi is a fast-growing finance and technology company operating in Zambia, South Africa, Uganda and Kenya. Unifi delivers personal lending products through online, mobile phone and branch channels. The company is well supported by strong shareholders and a board of directors with vast experience in entrepreneurship and lending.
Unifi is seeking an experienced and visionary Delivery Lead with expertise in Google Looker and BigQuery to join our dynamic team and help shape the future of Unifi. In this critical role, you will identify relevant client challenges and build data-driven solutions that deliver tangible business benefits. You will oversee the entire data lifecycle, from analysing complex data sets to crafting tailored solutions.
The ideal candidate must be analytically adept, self-driven, and able to thrive in an unstructured management environment. A passion for African business, a sense of adventure, and a great sense of humor are essential.
Minimum Requirements
Requirements:
Bachelor's degree in a relevant field (e.g., Engineering, Statistics, Computer Science, Information Technology).
5 years of experience leading and mentoring teams with varying data skills.
Proficiency in data analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, R and data visualisation tools Google Looker.
Proficient in implementing validation protocols to enhance data integrity and reliability in project outcomes.
Solid understanding of fundamental business principles, encompassing budgeting and accounting practices.
Proficient in business analysis and design, ensuring that software solutions are strategically aligned with organisational goals and effectively address business needs through comprehensive requirements gathering and stakeholder engagement.
Thorough familiarity with the methodology and principles of project management, including how to plan and execute projects efficiently.
Extensive experience in Data Life Cycle
Proven ability to take responsibility for delivering projects in a fast-moving environment, meeting tight deadlines, and adapting to changing requirements.
Duties and Responsibilities
Role Purpose
As the Delivery Lead, you will manage the end-to-end delivery of these data solutions, collaborating with cross-functional teams, and ensuring that all solutions are aligned with real client needs. You will also manage project timelines, ensuring the successful deployment of high-quality data products.
Responsibilities:
Provide direction and mentorship to the team, ensuring cohesive alignment with organisational objectives.
Oversee the seamless delivery of product features, guiding initiatives from initial conception through to successful deployment.
Continuously identify and implement process enhancements within stakeholder engagement to maximise operational efficiency and effectiveness.
Cultivate a culture of innovation, promoting creative problem-solving and the exploration of novel approaches to elevate product offerings.
Champion the professional growth and development of team members, fostering an environment conducive to learning and advancement.
Drive data projects from inception to completion, ensuring they align with our business goals and are delivered on time.
Keep a pulse on project performance metrics, report progress, and pivot plans as necessary to adapt to business needs.
Foster strong relationships with stakeholders to gather requirements, manage expectations, and provide updates on project progress.
Collaborate on the formulation and execution of data strategies that enhance data quality, governance, and utilisation across Unifi.
Utilise tools like Google Looker and BigQuery to analyse complex data sets and create insightful visualisations that drive decision-making.
Safeguard data accuracy, integrity, and security throughout the project lifecycle by establishing and enforcing Unifi's quality standards.
Continuously identify and implement process enhancements within client engagement to maximise operational efficiency and effectiveness, ensuring we are always 'lean and mean.
Proactively identify potential risks associated with data projects and develop strategies to mitigate them, ensuring we stay ahead of the curve.
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