Technology Project Manager

Technology|ETL & Data Quality|ETL & Data Quality - ALL Technical Skills 2 Overview The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data‑led innovation to help our clients accelerate growth and unlock business value. Our AI‑driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting‑edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel. In the assigned Job Role of Technology Project Lead 2, your Area Of Responsibility will be as below: Define project objectives and scope in alignment with business goals, ensuring efficient delivery in collaboration with stakeholders Build and maintain strong client relationships, providing regular updates to ensure alignment and transparency Drive process improvement by reviewing project deliverables and incorporating innovative methodologies and tools Identify potential risks and implement mitigation strategies to ensure successful project outcomes Develop and run project estimates, monitor budget performance, and optimize resource allocation for efficiency Support the preparation of technical and commercial proposals, aligning them with client needs and organizational capabilities Engage in planning resource allocation, conduct performance appraisals, and facilitate professional development to enhance team effective Scope changes and develop client requirements, ensuring proper estimation, approval, and contractual updates Your contribution to the team: Demonstration of strategic mindset for delivering impactful, client‑aligned projects. Problem‑solving expertise and ability to run project economics and delivery Strong relationship with mid and senior level client stakeholders Strong leadership abilities to foster team performance and growth Commitment to cultivating a culture of learning and innovation Required Skill and Experience Experience in ETL Data Quality Testing, Data Warehouse Testing, and Data Migration Testing. Expertise in SparkSQL and database validation across Oracle, SQL Server, PostgreSQL, Snowflake, AWS Redshift, or BigQuery. Experience in validating source‑to‑target mappings, transformation rules, data lineage, and business logic as per mapping documents. Experience in Python‑based Big Data & ETL test automation. Experience in performing data reconciliation, completeness checks, referential integrity, duplicate detection, and data quality validations. Experience in ETL tools such as Informatica, Ab Initio, ODI, SSIS, DataStage, Azure Data Factory, or Databricks. Understanding of Data Warehousing concepts including Facts, Dimensions, Star Schema, and SCD validations. Experience designing and implementing Spark‑based Data Validation frameworks to validate large‑scale financial data across batch and ETL pipelines, ensuring data quality, completeness checks, accuracy, and consistency throughout the project lifecycle. Experience developing automated data quality controls and validation test suites using Apache Spark, including reconciliation, schema validation, data profiling, and exception handling for high‑volume financial datasets Experience validating cloud‑based data platforms on AWS, Azure, Databricks, Snowflake, or GCP. Experience with batch job validation, workflow monitoring, and scheduling tools such as Autosys, Control‑M, or Airflow. Experience in developing automation solutions using Python/Shell scripting for ETL and data validation activities. Experience in implementing test strategies, prepare and execute test cases, analyze results, and coordinate defect resolution to ensure data quality. Experience in collaborating with business, development, and data engineering teams to ensure accurate and reliable data delivery. Experience in maintaining detailed documentation of test scenarios, SQL validations, automation assets, and testing processes. Preferred Skill and Experience Experience in BI Reporting validation using Power BI, Tableau, Qlik, or MicroStrategy. Experience in Big Data technologies such as Hadoop, Spark, Hive, and Kafka. Knowledge of AI‑enabled Data Quality and Data Governance solutions. Banking, Capital Markets, Wealth Management, or Mortgage domain experience. Additional Required Qualifications 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. This position may require relocation and/or travel to work/project location. All applicants authorized to work in the United States are encouraged to apply. Along with competitive pay, as a full‑time Infosys employee you are also eligible for the following benefits: Long‑term/Short‑term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level 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. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. #J-18808-Ljbffr Infosys Limited