Data & Ai Capability Lead

5 months ago


Johannesburg, South Africa Heineken International B.V. Full time

We Go Places How about you?

Immediate Superior: Head of Global Analytics Products
Location: Sandton/Stellenbosch
Function: Digital & Technology
Sub Function: Digital & Technology - Other Support
Type of Contract: Permanent
Reference Number: 119456
Closing Date: 10/09/2024

The Data & AI Capability Lead is a pivotal leadership role within Global Analytics. As an advocate for analytics capability building, this role is instrumental in empowering HEINEKENs workforce to interpret, comprehend, produce, and convey data and analytics insights as vital business information. Through a dedicated focus internal and external communication, upskilling and enhancing data literacy, the Data & AI Capability Lead ensures that our company not only understands but also optimally leverages the power of analytics in decision-making processes.

Key Responsibilities:

- Analytics Capability Building:

- Design and oversee the implementation of a comprehensive analytics upskilling program, catering to different levels of the organization, from executives to the broader workforce.
- Strategic Communication:

- Develop and maintain communication strategies to promote our in-house analytics products, team accomplishments, analytics updates, market trends, and more.
- Utilize various internal channels such as workplace and newsletters, as well as external mediums like LinkedIn and conferences to share information and position the company as a thought leader in the analytics space.
- Analytics Maturity Enhancement:

- Create, implement, and manage a robust analytics maturity assessment tool and a corresponding action plan embedded in the analytics capability frameowkr to increase analytics maturity of OpCos, Regions and Global
- Establish a clear analytics maturity baseline and effectively communicate this to management teams, ensuring that functions within OpCos, Regions and Global understand and strive for higher maturity levels.
- AI Capability Knowledge Exchange
- Design, develop, and manage a comprehensive platform that facilitates knowledge exchange and collaboration in AI across the organization.
- Create and establish a robust framework for capturing, organizing, and distributing AI-related knowledge and best practices across the organization.
- Develop and enforce standards for documentation, ensuring consistency, quality, and relevance of AI knowledge assets.
- Implement governance structures to manage knowledge lifecycle, including creation, review, update, and archival processes.

Education and Experience:

- Relevant Bachelor's Degree
- A minimum of 10 years of experience in (digital & analytics) transformation, communication, consulting or a related field, with substantial experience in a leadership role focused on transformation.
- Demonstrated success in designing and implementing analytics capability building programs and data literacy initiatives across large organizations.
- Extensive experience in managing and leading cross-functional teams and complex projects.
- Transformation and Capability Building:

- Proven track record in driving organizational transformation through analytics and data-driven initiatives.
- Strong experience in developing and implementing comprehensive upskilling and capability building programs.
- Expertise in creating and managing frameworks to assess and enhance analytics maturity at various organizational levels.
- Strategic Communication:

- Exceptional communication skills with the ability to articulate complex concepts and insights to diverse audiences, including senior executives and non-technical stakeholders.
- Experience in developing and executing communication strategies to promote analytics initiatives and foster a data-driven culture.
- Ability to utilize a variety of communication channels, both internal and external, to effectively disseminate information and position the organization as a thought leader in analytics.
- Leadership and Influence:

- Strong leadership skills with a focus on mentoring and developing talent within the organization.
- Ability to influence and drive change across different organizational levels and geographies.
- Experience in collaborating with senior management to align analytics initiatives with business objectives and strategies.
- Strategic and Analytical Thinking:

- Strong strategic thinking skills with the ability to develop and implement long-term plans to enhance analytics capabilities.
- Exceptional analytical skills and a data-driven mindset to solve complex business problems.
- Ability to identify opportunities for leveraging data and analytics to drive business value.
- Entrepreneurial and Result-Oriented:

- Entrepreneurial mindset with a focus on achieving measurable results and driving continuous improvement.
- Ability to manage multiple priorities, navigate complex organizational structures, and deliver high-impact outcomes.
- Global Perspective:

- Experience working in global organizations with an understanding of different cu


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