Vice President Data Analytics
Vice President Data Analytics
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Job Description
Short Description
Our client is looking for a visionary leader to join their team as the Vice President of Data & Analytics.
Bullet Points:
- An exceptional opportunity based in Cape Town
- Salary: 125k to 240k depending on experience
- 1015 years of progressive experience in data management analytics or related fields with at least 5 years in an Executive / VP level leadership role.
Vice President: Data & Analytics Opportunity
ROLE OVERVIEW:
In this senior leadership role you will be responsible for developing and executing a forwardthinking scalable data strategy that drives the commercialization of data and insights.
You will lead efforts to monetize data assets establish a robust framework for data governance and advance analytics capabilities.
This role requires close collaboration with Clevel executives and crossfunctional business leaders to position data as a critical enabler for business growth and operational optimization.
The successful candidate will report to the Chief Technology Officer
KEY QUALIFICATIONS AND EXPERIENCE:
- 1015 years of progressive experience in data management analytics or related fields with at least 5 years in senior leadership roles.
- Proven track record of driving the commercialization of data assets and delivering measurable business value through datadriven initiatives.
- Bachelors Degree in Data Science Analytics Computer Science Statistics or a related field; MBA is highly desirable.
- Expertise in developing and executing data architecture and governance frameworks that align with industry best practices and regulatory requirements.
SPECIFIC & BUSINESS KNOWLEDGE REQUIRED:
- Strong understanding of Data Management Body of Knowledge (DMBOK) data architecture and administration.
- Proficiency with industrystandard data analytics tools and programming languages such as SQL Python R Tableau and Power BI.
- Expertise in advanced query optimization data visualization and best practices in data processing and analytics.
- Deep knowledge of data management processes governance standards data warehousing and data integration principles.
KEY RESPONSIBILITIES:
Develop and Execute Data & Analytics Strategy:
- Formulate and drive a comprehensive data and analytics strategy to optimize data value through commercialization and insights generation.
- Align data initiatives with broader company goals to identify market opportunities and provide a competitive edge.
- Develop KPIs and performance metrics derived from data insights to drive strategic decisionmaking.
Architect and Implement Scalable Data Infrastructure:
- Design and implement a scalable modern data infrastructure supporting advanced analytics capabilities such as machine learning predictive modelling and realtime analytics.
- Oversee seamless data integration across multiple platforms to ensure highquality accessible data.
- Ensure infrastructure scalability for future data expansion and innovation needs.
Lead Advanced Analytics Development:
- Design and deploy advanced analytics solutions including BI systems machine learning models and predictive analytics.
- Empower business units with actionable insights to boost decisionmaking and business outcomes.
Collaborate with CLevel and Business Leaders:
- Serve as a strategic partner to Clevel executives and business leaders aligning data initiatives with business objectives.
- Present insights forecasts and datadriven recommendations to the executive team to support strategic initiatives.
Drive Data Creation for Strategic Initiatives:
- Lead efforts to create and refine datasets for POCs simulations and forecasts critical for CSuite decisionmaking.
- Contribute to business process improvements through datadriven insights and operational forecasting.
Ensure Data Governance and Compliance:
- Establish and enforce data governance policies and best practices to maintain data quality integrity and security.
- Ensure compliance with applicable regulations (e.g. GDPR CCPA).
Oversee Data Integration and Structuring:
- Manage the integration and structuring of data from various sources for optimal analysis and reporting.
- Transform raw data into structured formats for easy access to relevant insights.
Financial Management:
- Develop and manage the departments budget aligning it with the overall company strategy.
- Make informed decisions on shortterm projects and longterm investments in data infrastructure analytics tools and human capital.
People Management & Development:
- Lead and mentor a team of 510 senior managers with indirect responsibility for a larger extended team of 50 professionals.
- Establish clear expectations provide direction and foster a highperformance culture.
- Ensure continuous development and alignment with strategic priorities.
Innovation:
- Stay at the forefront of data monetization analytics and emerging technologies such as AI ML and automation.
- Champion the adoption of cuttingedge tools methods and best practices to drive operational efficiency and continuous innovation in data processing and analytics.
Benefits:
- 13th cheque.
- Hybrid working model (Cape Townbased).
- Medical Aid subsidy.
- Provident Fund with matching contributions.
- School subsidies for children.
- Comprehensive insured benefits.
- Access to canteen gym and more.
Join our client to lead a talented team and drive the future of software engineering! Apply now to be part of an innovative and collaborative environment.
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Employment Type
Full Time
