Requirements
What you'll bring
- Bachelors / Master's degree (CSE or equivalent of Comp Sc)
- 12+ years of experience in leading design and software delivery teams
- Grown from the development ranks to Delivery (QA or other support roles that don't involve hands-on coding are excused). Technically deft in Java/.Net, DB (Any of, but not limited to SQL Server, CITUS, Mongo, Oracle),
- Understand streaming Kafka (Or RabbitMQ/any other queuing/ messaging technology), CI / CD, and Automation, Selenium.
- Hands-on experience working in Cloud environments like AWS/Azure/GCP
- Awareness to basic concepts of data warehousing and AI/ML is must
- Awareness to RPA is plus
- Excellent understanding, and proven record of complex technology and business solutions in client-facing environment.
- Client relationship management experience and managing multiple clients/projects
- Experience in political and corporate customer environment, understand the power of persuasion, influencing and a high-level understanding of business processes related to various markets. Strong social skills, written and verbal.
- Experience with Agile/Scrum and Project Management methodology (certification Scrum Master, PMP, IPMA, PRINCE2 is an advantage).
- Enjoying working in a dynamic organization which is continuously transforming and enjoy enterprise visibility and industry.
- Holds expert-level experience and uses professional concepts and company objectives to resolve complex issues in creative and effective ways.
- Significant experience leading the Technical Delivery of Enterprise Data management projects.
You will have an advantage if you bring -
- Experience in Java, Microsoft Technologies, Oracle Apps, Or Informatica.
- Fluency in big data platforms including Hadoop, MapReduce, Hive, Spark.
- A strong understanding of data profiling and data cleansing techniques.
- Experience in building and rolling out product COEs at enterprise customers.
- Experience of working with complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
- Experience in running internal POCs from evaluation to successful exit criteria. Exercises judgment in methods, techniques, and evaluation criteria for obtaining results.
- Expert level database, data management, data engineering or data management skills.
- Published industry white papers, best practices, field guides, and external communications.
