Head of Decisioning Analytics
Job Description
This is a senior leadership role with a mandate to shape the data science and AI agenda of a leading telecom operator. You will build and scale a high-impact in-house data science capability, influence executive decision-making, and turn rich data assets into measurable business outcomes across growth, customer experience, and operational excellence.
Responsibilities
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Define and lead the enterprise data science and AI strategy, aligned to business priorities.
-
Build, lead, and mentor a high-performing data science team and establish best-in-class ways of working.
-
Deliver advanced analytics, machine learning, and AI use cases that drive revenue, retention, and efficiency.
-
Assess the organisation’s data science & AI maturity and execute a roadmap to scale capabilities and adoption.
-
Partner closely with senior stakeholders to translate business problems into impactful analytics solutions.
-
Oversee analytics delivery (internal and external), ensuring quality, governance, data privacy, and security.
Requirements
- Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or related fields.
- 15+ years of relevant experience, including 5+ years in a senior data science / analytics leadership role.
- Strong foundation in statistics, machine learning, and advanced analytics.
- Hands-on understanding of Python, SQL, big data platforms (e.g. Hadoop), and BI tools (Tableau, Power BI, Qlik).
- Proven ability to influence senior stakeholders and communicate complex topics clearly.
- A strategic, outcome-driven leader with a passion for building teams and scaling impact.
Job Description
This is a senior leadership role with a mandate to shape the data science and AI agenda of a leading telecom operator. You will build and scale a high-impact in-house data science capability, influence executive decision-making, and turn rich data assets into measurable business outcomes across growth, customer experience, and operational excellence.
Responsibilities
-
Define and lead the enterprise data science and AI strategy, aligned to business priorities.
-
Build, lead, and mentor a high-performing data science team and establish best-in-class ways of working.
-
Deliver advanced analytics, machine learning, and AI use cases that drive revenue, retention, and efficiency.
-
Assess the organisation’s data science & AI maturity and execute a roadmap to scale capabilities and adoption.
-
Partner closely with senior stakeholders to translate business problems into impactful analytics solutions.
-
Oversee analytics delivery (internal and external), ensuring quality, governance, data privacy, and security.
Requirements
- Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or related fields.
- 15+ years of relevant experience, including 5+ years in a senior data science / analytics leadership role.
- Strong foundation in statistics, machine learning, and advanced analytics.
- Hands-on understanding of Python, SQL, big data platforms (e.g. Hadoop), and BI tools (Tableau, Power BI, Qlik).
- Proven ability to influence senior stakeholders and communicate complex topics clearly.
- A strategic, outcome-driven leader with a passion for building teams and scaling impact.
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