Senior Manager - Data services

Role & responsibilities

The primary objectives of the Data Services function are to manage and leverage both internal enterprise and external data as a strategic asset, and to ensure:

1. Product, Customer and market knowledge as part of organizational DNA.
2. Data democratization i.e. information available to all, not in silos.
3. Information efficiency i.e. right information at the right time to the right person.
4. Insights-led business processes.

This role ensures that data is reliable, secure, accessible, well-governed, and effectively used to support strategic decision-making, operational excellence, customer outcomes, and innovation.

The Senior Manager - Data Services is accountable for defining, leading, and continuously improving the organisations data services capability. The role will help define the Data Maturity journey, key milestones and the preparatory steps required.

The role combines service delivery ownership, data governance, technology oversight, and team leadership. The Senior Manager of Data Services works closely with managers at all levels of leadership, and business teams to turn data into a trusted enterprise asset.

Preferred candidate profile

• Bachelors degree in Computer Science, Data Science, Information Systems, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline; Masters degree/diploma in Management from a good Business School preferred.
• 10 years of experience in data, analytics, technology, or information management.
• Proven experience in enterprise data services, data platforms, data governance, data engineering, business intelligence, or analytics functions.

Required Skills and Competencies

• Strong commercial, operational, and technology acumen.
• Excellent training and influencing skills.
• Deep knowledge of data governance, data quality, privacy, security, and regulatory practices.
• Ability to translate complex technical topics into clear business language.
• Strong delivery discipline, prioritisation, and change management capability.
• Experience with BI and analytics tools such as Power BI, Tableau, Looker, or equivalent.
• Experience with cloud and data platforms such as Azure, AWS, Google Cloud, Snowflake, Databricks, SQL platforms, or equivalent.