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About The Division
Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help lead in the markets where our client's compete.
Are you a game changer? Do you believe in adding advantage at every level in everything you do? You may be one of us.
Deloitte consulting is growing, with a focus on developing our already powerful teams across our portfolio of offerings. We are looking for smart, accountable, innovative professionals with technical expertise and deep industry experience insights. The combination of our 6 areas of expertise, our well-developed industry structure and our integrated signature solutions is a unique offering never seen before on the African continent.
Job Description
Manage Multiple Projects within Data Science and Data Engineering space. Perform Stakeholder and Business Engagement and manage the end-to-end delivery to client by leading teams of Data Engineers and Data Scientists.
Qualifications
Bachelors Degree in Data Science, Computer Science, Engineering or other related Degrees
Additional Information
- Deliver and manage the execution of Data Engineering and Data Science projects.
- Produce intelligent, scalable, and automated solutions by leveraging Data Science and Data Engineering teams.
- Develop a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs.
- Design and manage the end-to-end Data Science and Data Engineering Solutions.
- Work with Technology teams on the development of new data capabilities & architecture to define requirements and priorities.
- Develop, continuously improve, and execute an efficient framework to identify, organize and structure the team to deliver quality products/services to client.
- Support where required in developing product specification documents, scope of Work documents, Code of Conduct document with regards to project needs.
- Implement best practise pipeline framework adhering to (KDD, CRISP) and deployment of use cases identified in products & services by using ML techniques
- Establish and meet required SLAs and TAT for requirements
- Ability to understand business processes, risk and controls.
- Ability to understand and frame client problem statements and put forward a data analytics or digital solution to meet client requirements.
- Ability to utilise industry technologies to apply data analytics solutions including data analysis tools; business intelligence solutions; data science and data engineering tools.
- Ability to apply SDLC methodologies to solution developments
- Ability to work with minimal supervision.
- Ability to manage multiple engagements and projects simultaneously.
- Excellent interpersonal skills.
- Management and leadership skills.
- Problem Solving Skills.
- Drive an willingness to mentor and train junior members of the team.
- Prior Business Engagement and Stakeholder Management experience.
