Vice President: Data & Analytics

Our client is looking for a visionary leader to join their team as the Vice President of Data & Analytics.

Bullet Points:

1. An exceptional opportunity based in La Lucia, Durban, KZN
2. Salary: 125k to 240k depending on experience
3. 10-15 years of progressive experience in data management, analytics, or related fields, with at least 5 years in an Executive / VP level leadership role.

ROLE OVERVIEW:
In this senior leadership role, you will be responsible for developing and executing a forward-thinking, 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 C-level executives and cross-functional 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:

1. 10-15 years of progressive experience in data management, analytics, or related fields, with at least 5 years in senior leadership roles.
2. Proven track record of driving the commercialization of data assets and delivering measurable business value through data-driven initiatives.
3. Bachelor’s Degree in Data Science, Analytics, Computer Science, Statistics, or a related field; MBA is highly desirable.
4. Expertise in developing and executing data architecture and governance frameworks that align with industry best practices and regulatory requirements.

SPECIFIC & BUSINESS KNOWLEDGE REQUIRED:

1. Strong understanding of Data Management Body of Knowledge (DMBOK), data architecture, and administration.
2. Proficiency with industry-standard data analytics tools and programming languages such as SQL, Python, R, Tableau, and Power BI.
3. Expertise in advanced query optimization, data visualization, and best practices in data processing and analytics.
4. Deep knowledge of data management processes, governance standards, data warehousing, and data integration principles.

KEY RESPONSIBILITIES:

1. 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 decision-making.
2. 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 real-time analytics. Oversee seamless data integration across multiple platforms to ensure high-quality, accessible data. Ensure infrastructure scalability for future data expansion and innovation needs.
3. 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 decision-making and business outcomes.
4. Collaborate with C-Level and Business Leaders:
   Serve as a strategic partner to C-level executives and business leaders, aligning data initiatives with business objectives. Present insights, forecasts, and data-driven recommendations to the executive team to support strategic initiatives.
5. Drive Data Creation for Strategic Initiatives:
   Lead efforts to create and refine datasets for POCs, simulations, and forecasts critical for C-Suite decision-making. Contribute to business process improvements through data-driven insights and operational forecasting.
6. 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).
7. 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.
8. Financial Management:
   Develop and manage the department’s budget, aligning it with the overall company strategy. Make informed decisions on short-term projects and long-term investments in data infrastructure, analytics tools, and human capital.
9. People Management & Development:
   Lead and mentor a team of 5-10 senior managers, with indirect responsibility for a larger extended team of 50+ professionals. Establish clear expectations, provide direction, and foster a high-performance culture. Ensure continuous development and alignment with strategic priorities.
10. Innovation:
    Stay at the forefront of data monetization, analytics, and emerging technologies such as AI, ML, and automation. Champion the adoption of cutting-edge tools, methods, and best practices to drive operational efficiency and continuous innovation in data processing and analytics.

Benefits:

1. 13th cheque.
2. Hybrid working model (Cape Town-based).
3. Medical Aid subsidy.
4. Provident Fund with matching contributions.
5. School subsidies for children.
6. Comprehensive insured benefits.
7. 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.