Senior Supervisor- Data Analytics and Transformation
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What you'll do
- Lead and manage a team of Data Analysts & BI Developers, providing direction, coaching, and performance management.
- Ensure day-to-day data operations meet defined SLAs and data quality KPIs.
- Own and maintain data operations work instructions, operating procedures, and business rules, ensuring documentation remains current and aligned with evolving processes and systems.
- Establish and monitor operational controls and dashboards to ensure data completeness, accuracy, and timeliness.
- Oversee data transformation roadmaps and ensure alignment with overall data strategy.
- Oversee investigation and resolution of recurring or complex data quality issues, ensuring appropriate escalation and root cause analysis.
- Translate operational challenges into process improvements, automation opportunities, and strengthened data validation controls.
- Identify opportunities to improve data operations workflows, monitoring frameworks, and operational efficiency.
- Ensure the data analyst & bi developers teams are properly trained on tools, business rules, and governance practices.
What they're looking for
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Date Posted:
2026-09-08

Country:
India

Location:
IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli

Position Role Type:
HybridWho We Are:
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.
What You Will Do:
The Data Analytics Manager leads the data analytics and transformation function supporting Aftermarket business units. This role is responsible for managing a team of Data Analysts and BI Developers tasked to automated and improve overall data reporting capabilities. Also, this person ensures that the Data Management and Data Governance principles.
Responsibilities include:
- Lead and manage a team of Data Analysts & BI Developers, providing direction, coaching, and performance management.
- Ensure day-to-day data operations meet defined SLAs and data quality KPIs.
- Own and maintain data operations work instructions, operating procedures, and business rules, ensuring documentation remains current and aligned with evolving processes and systems.
- Establish and monitor operational controls and dashboards to ensure data completeness, accuracy, and timeliness.
- Oversee data transformation roadmaps and ensure alignment with overall data strategy.
- Oversee investigation and resolution of recurring or complex data quality issues, ensuring appropriate escalation and root cause analysis.
- Translate operational challenges into process improvements, automation opportunities, and strengthened data validation controls.
- Identify opportunities to improve data operations workflows, monitoring frameworks, and operational efficiency.
- Ensure the data analyst & bi developers teams are properly trained on tools, business rules, and governance practices.
Expectations of the Role
- Success in this role will be measured through:
- Sustained compliance with data quality KPIs (completeness, accuracy, timeliness).
- Effective team performance and operational delivery of the Data Analyst & BI developer functions.
- Reduction of recurring data issues through preventive controls and process improvements.
- Well-maintained and current procedures and work instructions.
- Achieving transformational improvements
- Strong collaboration with stakeholders to ensure data provider compliance and process alignment.
Qualifications You Must Have:
- 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.
Qualifications We Prefer:
- 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.
Shifts/Work Hours:
- Shift Timings: 12.30 PM to 9.30 PM IST
This role requires flexibility to accommodate stakeholder interactions and support business needs.
Onsite: Hybrid
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
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