Talent Engine
Automotive
DataLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Data Lead at Talent Engine. Skills: Data Delivery, Technical Leadership, Data Architecture, Platform Development, Data Quality, Operational Excellence, Data Governance, Compliance, Stakeholder Collaboration, Team Leadership. Leading the delivery and evolution of data capabilities. Ensuring high-quality, scalable, and reliable data solutions”
Industry & Context.
Data discipline and related problems solving, decision making and influencing across teams; Identify and resolve data issues, and continuously improve data processes; problem-solving and analytical skills, with attention to detail; Shows resourcefulness in navigating complexity, anticipates risks, adapts to change, and maintains resilience and focus in a dynamic environment
What They're Looking For.
Must Have
Relevant Degree (Data, Engineering, Computer Science, Business or similar), 10–15+ years’ experience in data-related roles, 5+ years in Data Management Leadership roles, Experience in Data discipline and related problems solving, decision making and influencing across teams, Experience in Data platforms, engineering, or architecture, Experience in Data governance and compliance, Experience in Data product, commercial environments, Experience in Stakeholder collaboration, engagement and advisory skills, Proficiency in SQL-based environments and experience with data pipeline development, automation, and performance optimisation, Solid grounding in data governance, data quality, and regulatory compliance (including POPIA), Ability to translate data into commercially valuable products and support client-facing use cases, Experience working across technical, business, and regulatory stakeholders, problem-solving and analytical skills, with attention to detail, Excellent communication and teamwork abilities, especially with the ability to effectively communicate with non-technical people
Nice to Have
Automotive, financial services, or consumer data experience, AI/ML concepts and the practical application of advanced analytics to solve business problems and enhance data products, Understanding of automotive, mobility, or consumer data environments, Awareness of emerging trends in AI/ML and data innovation
What You'll Do.
Leading the delivery and evolution of data capabilities
Ensuring high-quality
and reliable data solutions
and optimisation of data platforms
Translating business requirements into scalable and efficient data solutions
Providing technical leadership and guidance to data engineers and analysts
Ensuring data solutions are maintainable
and aligned to best practices
Designing and implementing data architectures
Ensuring efficient data ingestion
and integration across systems
Contributing to platform evolution
including performance optimisation and scalability improvements
Implementing and maintaining data quality controls
and availability of data across key datasets
Identifying and resolving data issues
and continuously improving data processes
Implementing and upholding data governance practices within Auto data domains
Supporting data classification
and lifecycle management processes
Ensuring compliance with applicable regulations (e.g. POPIA
PAIA) and internal policies
Translating data and technical concepts into clear
practical insights for stakeholders
Supporting client-facing and internal initiatives where data expertise is required
Leading and mentoring a team of data engineers and analysts
Supporting team development through coaching
and technical guidance
Fostering a culture of ownership
and continuous improvement
Staying up to date with emerging data technologies and practices
Contributing to improving data capabilities
and processes within the business
Identifying opportunities to enhance efficiency
How You'll Work.
Team & Collaboration
Working closely with business, product, and engineering teams to translate requirements into effective data solutions; Providing technical leadership and guidance to data engineers and analysts; Working closely with Product, Business, and Engineering teams to deliver data solutions aligned to business needs; Translating data and technical concepts into clear, practical insights for stakeholders; Supporting client-facing and internal initiatives where data expertise is required; Leading and mentoring a team of data engineers and analysts; Supporting team development through coaching, knowledge sharing, and technical guidance; Fostering a culture of ownership, quality, and continuous improvement; Excellent communication and teamwork abilities, especially with the ability to effectively communicate with non-technical people; Able to build networks and relationships, internally and with customers
Communication Scope
Excellent communication and teamwork abilities, especially with the ability to effectively communicate with non-technical people; Translate data and technical concepts into clear, practical insights for stakeholders; Aptitude for providing timely and accurate responses to client inquiries and managing client expectations
Process & Methodology
Can effectively multi-task and manage conflicting priorities
Full Job Description
**Role Overview:** The Lead of Data – Lightstone Auto is responsible for leading the delivery and evolution of data capabilities within the Auto business, ensuring high-quality, scalable, and reliable data solutions that support business objectives. The role focuses on the design, development, and optimisation of data platforms, structures, pipelines, and models, while working closely with business, product, and engineering teams to translate requirements into effective data solutions. The successful candidate will combine strong technical leadership with a practical, delivery-focused mindset, ensuring that data solutions are robust, efficient, and aligned to business needs. This role will be reporting to the Head of Data. **Key Responsibilities:** **Data Delivery & Technical Leadership** · Lead the design, development, and optimisation of data pipelines, models, and platforms · Translate business requirements into scalable and efficient data solutions · Provide technical leadership and guidance to data engineers and analysts · Ensure data solutions are maintainable, well-structured, and aligned to best practices **Data Architecture & Platform Development** · Design and implement data architectures, including data marts, integration layers, and APIs · Ensure efficient data ingestion, transformation, and integration across systems · Contribute to platform evolution, including performance optimisation and scalability improvements **Data Quality & Operational Excellence** · Implement and maintain data quality controls, validation processes, and monitoring · Ensure reliability, accuracy, and availability of data across key datasets · Identify and resolve data issues, and continuously improve data processes **Data Governance & Compliance** · Implement and uphold data governance practices within Auto data domains · Support data classification, retention, and lifecycle management processes · Ensure compliance with applicable regulations (e.g. POPIA, PAIA) and internal poli
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