Aurolab
Website:
aurolab.com
Job details:
Senior Manager - Data Services
Role Overview:
The primary objectives of the Data Services function are to manage and leverage data both internal enterprise as well as 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 organisation's 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.
Required Qualifications and Experience:
- Bachelor's degree in computer science, data science, information systems, engineering statistics, mathematics, business analytics, or a related discipline; master's 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.
- Strong understanding of modern data architecture, cloud platforms, data integration, modelling, metadata, master data, data quality, and security principles.
- Experience delivering data transformation programmes and dealing with cross-functional senior level Managers
- Demonstrated ability to manage vendors, delivery roadmaps, operating models, and service performance.
Key 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
Click on Apply to know more.