About Us: Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

SKILL / EXPERIENCE REQUIREMENTS:

Academics and Work Experience requirements:

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 12-15 years of experience with Information Technology
• Tertiary Qualification in IT / Computer Science / related discipline.

DESIRED SKILLS AND EXPERIENCE:

Key Responsibilities:

• Lead program management efforts for Test Data Management initiatives.
• Develop and execute robust test data strategies and solutions tailored to specific project needs.
• Coordinate test data refresh and masking activities for enterprise applications.
• Gather testing and data masking compliance requirements and translate them into actionable data management approaches.
• Conduct customer and stakeholder meetings, driving technical discussions and ensuring effective coordination.
• Collaborate with stakeholders to identify and track key performance indicators related to data quality and testing.

KEY SKILLS AND COMPETENCIES:

• Proficiency in stakeholder and program management.
• Strong capability in devising and implementing test data strategies and solutions.
• Expertise in test data masking, subsetting, and cleansing techniques.
• Familiarity with test data profiling, data quality assessment, and KPI tracking.
• Experience in managing test scenario and requirement gathering processes, as well as estimating and provisioning test data.
• Ability to provide pre-sales support, including crafting proposals, solutions, and estimates.
• Hands-on experience with database technologies such as DB2, Oracle, and MS SQL for enterprise applications.
• Advanced scripting skills using SQL, PL/SQL, SSIS, and JCL are advantageous.
• Proficiency in scheduling tools like Control-M, ESP, and Endevor.
• Prior experience with Test Data Management tools like Broadcom CA TDM, Compuware FileAid, and RDX.
  All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
  At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment only on Infosys_ta@infosys.com or include your preferred method of communication in email and someone will be in touch.
  Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department

• Lead program management efforts for Test Data Management initiatives.
• Develop and execute robust test data strategies and solutions tailored to specific project needs.
• Coordinate test data refresh and masking activities for enterprise applications.
• Gather testing and data masking compliance requirements and translate them into actionable data management approaches.
• Conduct customer and stakeholder meetings, driving technical discussions and ensuring effective coordination.
• Collaborate with stakeholders to identify and track key performance indicators related to data quality and testing