Senior Manager Data Services

Aurolab

Madurai District

On-site

INR 1,800,000 - 3,000,000

Full time

4 days ago
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Job summary

Aurolab is seeking a Senior Manager - Data Services to lead and mature the organisation’s data services capability. You will oversee data governance, data platforms, and analytics functions to enable reliable, secure, and accessible data for strategic decisions and operational excellence.

The role demands a strong background in data architecture, cloud platforms, and cross-functional leadership, with experience managing vendors and roadmaps to deliver value.

Qualifications

  • Bachelor’s degree in computer science, data science, information systems, engineering statistics, mathematics, business analytics, or related discipline.
  • 10 years of experience in data, analytics, technology, or information management.
  • Proven experience in enterprise data services, data platforms, data governance, data engineering, BI, or analytics functions.
  • Strong understanding of modern data architecture, cloud platforms, data integration, modelling, metadata, master data, data quality, and security principles.

Skills

Data governance
Data quality
Data security
BI tools
Cloud platforms
Communication
Change management
Vendor management

Education

Bachelor’s degree in CS/Engineering/related
Master’s degree or management diploma preferred

Tools

Power BI
Tableau
Looker
Azure
AWS
Snowflake
Databricks

Job description

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
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