Head: Data, Analytics and Mi

Who are we?
Sanlam Private Wealth crafts customised investment portfolios for high net worth private clients, charitable institutions, trusts and corporate entities.

With assets under management and administration of more than R151 billion, we offer a comprehensive and integrated suite of wealth management solutions. These include equity, retirement and offshore investment portfolios, fiduciary and tax services, an equity-backed finance offering, a global stockbroking service and derivatives trading.

At Sanlam Private Wealth, our clients are at the core of everything we do. For this reason, we employ people with passion - individuals who thrive in an entrepreneurial, high-energy environment.

Sanlam Private Wealth is part of the Sanlam Investments Group, a leading investment and wealth management business in South Africa, Sub-Saharan Africa, Australia and Europe.

What will be required for the position?
The role will involve working with a team of data engineers, data analysts and report writers to deliver the data strategy to ensure optimal business value, discovering insights hidden in large amounts of data, and facilitating decision-making to deliver on business objectives and improved customer experience.

What will you do?

**Key accountabilities**:
Own data integrity and conformity to meet business requirements, from data ingestion to data consumption and reporting.
Engage with a range of stakeholders (including compliance, finance, product, investments, marketing) to understand the needs and then use this information to scope the requirements for various data sources to deliver on these.
Bridge the gap between business owner requirements and technical delivery teams (vendor selection and architecture input and guidance).

**Key objectives**:
Oversee data needs on projects, BAU data requirements and future trends through data science expertise. As head of the area, the role will provide technical mentoring and coaching for other team members.
Deliver MI to our business owners.
Deliver support to our business owners.
Manage the day-to-day operations of the team.
Own overall accountability for data quality, working with the Data Steward to ensure both monitoring and remediation is in place for key data sources.
Ensure that highlighted data quality issues are promptly and adequately remediated and prevented in future.
Implement data quality dashboards and metrics, and ensure implementation of all data-related governance, audit and risk actions.
Build and maintain strong relationships with project and business stakeholders to develop an understanding of business strategy and objectives, and identify implications to define the data modelling goals for the designated areas.
Provide leadership to teams regarding their approach to data acquisition, data mining and overall responsibilities to deliver to stakeholders.
Guide direction and help our business with team priorities.
Design, develop and establish relevant frameworks, models and business practices to drive a data-centric approach to understanding current business problems and opportunities, and provide input into solutions.
Take accountability for the approach and methodology for building and maintaining analytical tools to generate insights, predict behaviour and recognise patterns.
Collaborate with business and technology teams to analyse customer data requirements.
Oversee maintenance of data sets to successfully identify, integrate and execute initiatives.
Ensure data analytics and design are communicated to and understood by business stakeholders.
Establish and implement a quality framework and processes for data processes and deliverables of the team.
Provide insight into opportunities for enhancing data processes to include information relevant for building analytic systems.
Perform the people management function for a team of driven-data specialists.
Coach and mentor data specialists.
Manage team deliverables.
Oversee the quality of team output.

Knowledge and skills
High degree of learning agility - ability to adapt and adopt new technologies, including AI and data science
Experience in data analytics and enterprise data warehouse development
Experience in running large-scale projects with a strong data component
Excellent written communication skills and very strong report-writing skills
Ability to lead teams and provide mentorship
Strategic thinking and ability to interact with senior stakeholders

Personal qualities
Strong interpersonal skills
Exceptional communication skills
Strong numerical orientation
Accurate and detail orientated
Ability to perform well under pressure and show maturity, confidence and resilience
Ability to adhere to tight deadlines
Results focused with a strong sense of urgency
Excellent organizational skills
Assertive
Team player

Our aim is to help you 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 car