Lead Data Engineer : SBI

Job description

Who are we?
Sanlam Life and Savings (SLS) is focused on serving our retail and corporate clients in South Africa and further developing our strategic advantages in the South African market. Sanlam Life and Savings consists of three clusters - Sanlam Corporate, Sanlam Retail Mass and Sanlam Retail Affluent. The Sanlam Life and Savings Office provides strategic direction, coordination and support to the three clusters, as well as performing governance oversight that includes assurance provided by second line of defense functions in SLS, to enable us to meet our business objectives. Role Description
Sanlam Business Intelligence (SBI) is looking for a lead data engineer to establish, grow and lead a fully functional and operational data engineering capability within the Advanced Analytics team. This will enable SBI to unlock the full potential of AI and analytics in Sanlam. This function needs to provide technical assistance across the analytics value chain: assisting with data preparation, guiding data management, model deployment, value tracking of active models and monitoring model and data drift. The vision is that this engineering capability, spearheaded by a lead data engineer, will comprise associate data engineers and data modelers. The lead data engineer needs to build and manage a sustainable team where knowledge is transferred, and value is created.

The individual appointed to this position is expected to:
Assume a hands-on role in data preparation, model deployment and value tracking of predictive models
Engage with stakeholders (developers, data architects and systems analysts) across our business to embed and productionize the actuarial and advanced analytics solutions built in the Advanced Analytics team
Assist in the development and execution of a target operating model within Advanced Analytics - this will involve the recruitment of a more diverse skillset to scale analytics practices and solutions What will you do?

Key responsibilities

Examples of some practical responsibilities include:
Deployment of sales predictive models to score clients on a schedule within our client data hub
Automation and deployment of lapse predictive models
In many cases, the above involves collaboration with system developers to implement and deploy scalable solutions
Create a value tracking model for our sales, lapse, and other value-adding models
Build capabilities to monitor model and data drift
Extend and build various data models (e.g., intermediary profitability measurement, risk underwriting)
Sanitisation of some structured and unstructured data (e.g., text, visual data) to create value
Work with actuaries and data scientists (and our 3rd party analytics vendors) on the above to ensure alignment with value-creation objectives What will make you successful in this role?

Qualification & experience :
Bachelor’s and/or Master’s degree in Computer Science, Statistics, Data science or related field
Strong understanding of statistical analysis, modelling, and machine learning techniques
Python/R and SQL experience is essential
Utilization of cloud-based technologies
Experience with distributed data/computing tools: (e.g. Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.)
Experience with deploying machine learning to production environments
Understanding of MLOps, how it is integrated into the analytical pipeline from data warehouse to machine learning model and finally to actionable insight
Experience in leading a team of data engineering professionals

Core competencies
Living up to our Group-wide core competencies, will help you achieve a successful career with us.
Cultivates Innovation: Creating new and better ways for the organization to be successful.
Client Focus: Building strong customer relationships and delivering customer-centric solutions.
Drives Results: Consistently achieving results, even under tough circumstances.
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives.
Resilience: Rebounding from setbacks and adversity when facing difficult situations.

Role specific competencies
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
Manages complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
Strategic mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies.

Strong analytical-thinking and problem-solving abilities
Strong technical and operational ability
Good attention to detail
Effective communicator of technical information
Passion for growing and leading a team
Knowledge and Skills Development of data warehousing blueprints. Data warehouse management Translates business needs into long-term architecture solutions Defines, designs and builds dimensional databases Object and data models Personal Attributes Interpersonal savvy - Contributing through others Decision quality - Contributing through others Plans and aligns - Contributing through others Optimises work processes - Contributing through others Build a successful career with us
We’re all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its four business clusters – Sanlam Life and Savings, Sanlam Investment Group, Sanlam Emerging Markets, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development. Core Competencies Cultivates innovation - Contributing through others Customer focus - Contributing through others Drives results - Contributing through others Collaborates - Contributing through others Being resilient - Contributing through others Turnaround time
The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.

Closing Date : 19 August 2022 Our commitment to transformation
The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.

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