Senior Supervisor- Data Analytics and Transformation

RTX RTX · Aerospace · bengaluru, Karnātaka, India · Digital Technology

This role leads a data analytics and transformation function, managing a team of Data Analysts and BI Developers. Responsibilities include automating and improving data reporting, ensuring data quality and governance principles, and overseeing data transformation roadmaps. The role focuses on operational controls, issue resolution, and process improvements within data management.

What you'd actually do

  1. Lead and manage a team of Data Analysts & BI Developers, providing direction, coaching, and performance management.
  2. Ensure day-to-day data operations meet defined SLAs and data quality KPIs.
  3. Own and maintain data operations work instructions, operating procedures, and business rules, ensuring documentation remains current and aligned with evolving processes and systems.
  4. Establish and monitor operational controls and dashboards to ensure data completeness, accuracy, and timeliness.
  5. Oversee data transformation roadmaps and ensure alignment with overall data strategy.

Skills

Required

  • Bachelor’s degree in information systems, Business, Engineering, Data Management, or related field.
  • A University Degree or equivalent experience and minimum 8 years prior relevant experience, or An Advanced Degree in a related field and minimum 5 years of experience.
  • Experience managing and developing a team, including providing direction, coaching, performance feedback, and workload prioritization.
  • Experience driving operational performance of a team against defined SLAs, KPIs, and quality standards.
  • Experience establishing or managing data governance, data stewardship, or operational data management processes.
  • Experience coordinating cross-functional issue resolution with data providers, system owners, and operational stakeholders.

Nice to have

  • Experience managing data analysts or master data management teams in an enterprise environment.
  • Experience implementing data quality monitoring frameworks, dashboards, or operational controls.
  • Experience working with enterprise data platforms or operational systems such as SAP.
  • Experience leading process improvement initiatives to strengthen data quality and operational efficiency.

What the JD emphasized

  • data quality KPIs
  • data quality issues
  • data quality