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Data Quality Manager

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Onsite

Data Quality Manager

SAS

Data Quality Manager

Skills

ReactPythonGolangProduct ManagementJavaRData AnalysisPerformance Management

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune Division, Maharashtra, India

Work mode:

Onsite

Published on:

3 September 2026

What they need


Manager, Software Development – Pune, IN

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.

If you’re looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

About The Job The R&D Data Quality team within the Analytics Lifecycle organization is seeking a Software Development Manager to lead a team of engineers responsible for the end-to-end development of SAS Data Quality applications and features — the key means of providing quality data to drive and feed SAS Analytics.

In this role, you will drive multiple product’s growth, evolution, and support by leading a high-performing team. You will have a significant impact in this strategically important area in the Analytics Lifecycle.

As a Manager, Software Development, you will:

  • Manage all aspects of the team, including development and testing, internal and external communication/collaboration, performance management and improvement, and professional growth.
  • Understand the career objectives of your team members and support them on their journey to achieve them.
  • Work with product management, project management and development team to understand, refine, and scope for planned work.
  • Collaborate with UI/UX designers to deliver intuitive, high-quality, customer-focused experiences.
  • Ensure that projects are completed and implemented in a timely manner while following established procedures and schedules.
  • Regularly communicate development and testing status, project risks, resource requirements and allocation, and other relevant knowledge with upper management.
  • Ensure R&D standards and guidelines are followed per established criteria, including adoption of the appropriate technology and architecture standards.
  • Become actively involved in daily operations and duties as needed to meet schedules or resolve complex problems or issues.
  • Ensure all applicable security policies and processes are followed to support the organization’s secure software development goals.
  • Embrace curiosity, passion, authenticity, and accountability. These are our values and influence everything we do.

Required Qualifications

  • Bachelors degree in a quantitative field, preferably computer science, math, or statistics.
  • 12+ years of experience in software development, software engineering, software testing, or enterprise software delivery.
  • Experience in leading projects to deliver high quality, scalable, performant and secure code.
  • Excellent interpersonal, verbal, and written communication, organizational, and problem-solving skills.
  • Experience working with Agile software delivery practices and modern software development methodologies.
  • Experience collaborating across engineering, product management, user experience, and operational teams.
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Additional Competencies, Knowledge And Skills

  • Proficiency with all aspects of the software development/testing lifecycle.
  • A strong work ethic.
  • The ability to learn quickly, operate comfortably, and make decisions within a complex environment with incomplete information.
  • Strong decision-making abilities
  • Experience in one or more of the following languages: Go, React, Java, C/C++, Python.
  • Experience with REST and in particular Viya 4 REST APIs
  • Experience with SAS Compute coding and in particular usage of the Quality Knowledge Base procs and functions

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