Job Description

Software Engineering Manager - Data AnalyticsxefxbbxbfLocation:Office based Workshop 17, Cape TownJob Summary:We are seeking a motivated Software Engineering Manager to join our dynamic Software Engineering team xefxbbxbfand data scientists focused on the delivery of advanced data analytics productsxefxbbxbf in Cape Town. This role will focus on leveraging Machine Learning (ML), Artificial Intelligence (AI), large language models (LLMs), and cutting-edge analytics tools such as Microsoft Power BI, Microsoft Fabric, and Databricks to understand worker behaviours, operational challenges and opportunities and to drive organizational and employee performance.As the Software Engineering Manager, you will be responsible for overseeing the development, deployment, and maintenance of data-driven solutions that deliver actionable insights. Your team will play a critical role in delivering functional improvements, data-driven decision-making, and overall business optimization by ensuring the quality and scalability of all analytics products.This is an exciting opportunity for a strong leader who combines technical expertise in Data Engineering, LLMs, and Analytics with a passion for working with high-performing teams and creating impactful, high-quality solutions that leverage state-of-the-art technology to drive business outcomes.Responsibilities:

• Lead a team made up of software engineers, data scientists, and Quality Engineers in delivering high-quality, scalable data analytics products
• Foster a collaborative, high-performance culture focused on innovation, continuous learning, and problem-solving
• Provide mentorship, coaching, and career development for team members to enhance their technical and soft skills
• Manage day-to-day operations, resource allocation, and project timelines to ensure that analytics products meet quality standards and delivery deadlines
• Work with Product teams to execute a strategic vision for the data analytics team, aligning technical initiatives with organizational goals focused on employee and organizational performance
• Collaborate with cross-functional teams to understand business needs and translate them into actionable data products and solutions
• Oversee the integration of Machine Learning, large language models (LLMs), AI, and analytics tools (Microsoft Power BI, Fabric, Databricks) into the organizations data architecture to support real-time decision-making and performance analysis
• Ensure the delivery of high-quality, accurate, and reliable data analytics solutions by applying best practices for data validation, cleaning, and integrity
• Establish and enforce software engineering best practices, including code reviews, automated testing, continuous integration, and deployment
• Work with stakeholders to define key metrics for measuring the impact of analytics products on organizational and employee performance
• Lead efforts to stay ahead of industry trends in data analytics, Machine Learning, AI, large language models (LLMs), and business intelligence platforms (Power BI, Fabric, Databricks)
• Promote the adoption of new technologies, methodologies, and tools to improve the quality and performance of analytics products
• Encourage a culture of experimentation and innovation to continuously optimize data pipelines, models, and business intelligence outputs
• Engage with business leaders, product managers, and other key stakeholders to ensure analytics products meet the business requirements and objective
• Clearly communicate technical concepts to non-technical stakeholders, ensuring alignment between technical execution and organizational goals
• Provide regular updates on project progress, risks, and roadblocks, proposing mitigation strategies where necessary
• Ensure that analytics products are developed and deployed in compliance with data governance, privacy, and security standards
• Work closely with legal, compliance, and security teams to ensure that all analytics solutions adhere to internal policies and regulations

Essential Skills & Experience:

• 5+ years of experience in software engineering, with at least 2+ years in a leadership role managing teams and software delivery
• Familiarity with Agile methodologies and experience managing agile development teams
• Proven track record in leading high-performing teams, with experience in coaching and developing talent
• Strong experience in project management, including prioritization, timeline management, and delivering on ambitious goals
• Strong understanding of how data analytics, AI, and large language models can drive employee and organizational performance, with the ability to translate business needs into technical solutions
• Ability to work collaboratively with stakeholders to understand business objectives and deliver impactful data products

Desirable:

• Proven experience working with advanced analytics platforms, such as Microsoft Power BI, Microsoft Fabric, and Databricks
• Strong hands-on experience with Machine Learning and AI technologies, including model development, training, and deployment at scale
• Familiarity with large language models (LLMs) and their application to natural language processing, automation, and data analysis
• Advanced degree in Computer Science, Data Science, Engineering, or a significant demonstrable experience in a related field
• Proficiency in data engineering, data pipelines, and data processing technologies
• Strong programming skills in languages such as Python, R, or SQL
• Deep understanding of ML/AI algorithms and their application to real-world business problems, with particular focus on large language models for tasks such as document summarization, language translation, and content generation
• Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks and Power BI for building and deploying scalable data analytics solutions

xefxbbxbfSurgo (Pty) Ltd will consider all applications in terms of its Employment Equity (EE) and is committed to maintaining diversity in its appointments. Surgo (Pty) Ltd, therefore also encourages people with disabilities and from other diverse backgrounds to apply. Due to the high volume of applications, should you not receive feedback within three months upon submission, you can assume your application was unsuccessful, and we encourage you to reapply. Please note that as a registered member of APSO, Surgo (PTY) Ltd. does not hold applicants accountable for any application fee.Your CV will be kept on our database for us to contact you should any future vacancies become available. If you do not wish for us to keep your CV for any other positions, please email xefxbbxbf

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