Head of Analytics and Data Services

3 days ago


Cairo, Egypt Vodafone Full time

Role purpose:
Leading Technology _VOIS global service line for data management, analytics and machine learning services across multiple locations including India, Egypt, Romania, etcproviding diverse data services for both Vodafone local markets and central functions.
Strategize & implement critical initiatives for the service line according to the organization vision & growth plans and driving collaboration across the multi-location organization.
Accountable for meeting technology KPIs, delivery timelines, customer satisfaction, stakeholder management and meeting budget/ efficiency targets through building and managing teams of highly motivated technology professionals.

Key accountabilities and decision ownership:

- Leading (Coach, inspire, motivate, evaluate and develop) a large team of data analysts, data engineers, data scientists, ML engineers, platform engineers, architects (data and Cloud), etc across multiple locations
- Implement global technology strategies for the function and drive operation excellence in processes across Data management, analytics and machine learning domain.
- Drive technology services portfolio, roadmaps & transformation across the delivery unit, also driving initiatives for technology efficiency targets.
- Manage the service line budget across multiple locations.
- Strategize & implement critical initiatives for the functions, in line with the organizations’ vision & growth plans.
- Work in alignment with the BRM team to achieve strong partners management engagement to ensure delivering quality technology services while continuously driving and improving customer experience.

Core competencies, knowledge and experience:

- 15+ years of experience in managing data engineering, analytics, reporting and visualization with proven record in governance and budget management.
- Relevant experience in managing teams using ML and AI tools over the cloud.
- Expert knowledge of the strategy development & implementation especially for data management, analytics and machine learning
- Able to work independently in a highly dynamic environment with strong analytical skills, organized, self-motivation in addition to having excellent communications and Presentation skills.
- Ability to deliver challenging targets in a dynamic environment with a full understanding of customer demands/needs and flexibility to exceed customers’ expectations.
- Solid communication skills with capability of networking on global environment in a way that supports business growth activities.
- Proven track record of managing technology teams at scale (across all of time, cost and quality)

Must have technical / professional qualifications:

- BSC of Engineering or Computer Science
- A post graduate study is an advantage but not a must (Masters, PHD of Engineering and/or MBA).


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