Senior Manager- IT(Software Engineer AND Services) - Hyderabad, India.

Be a part of a team that ensures Prudent Delivery and product engineering. Our IT Software Engineer team turns business requirements into technology solutions by designing, coding, and testing/debugging applications, documenting procedures for use, and constantly seeking quality improvements.

We are looking for a Senior Manager of Data Platforms. As such, you will be at the forefront of advancing our capabilities in building next-gen data platforms, with a special focus on building large-scale, scalable, and high-performing innovative data platforms. This pivotal role involves leading and mentoring a team of highly skilled data platform engineers to build, scale, and manage multiple big data, datalake, and data warehouse platforms.

You will:

• Develop the product vision, strategy, roadmap, and development of data platform products, focusing on user-centric design guidelines, scale, and performance.
• Inspire teams to transform to next-gen data lakehouse solutions to meet evolving user needs.
• Drive collaboration between platform engineers, architects, data engineers, and business stakeholders.
• Broad technical knowledge and depth in AI / ML / Data Science to effectively liaise with technical teams to execute the abovementioned responsibilities.
• You can engage with executive management and provide comprehensive updates and insightful presentations on project progress, strategic initiatives, and the latest innovations.

Requirements

• 15+ years of experience in Data technologies (Hadoop, Greenplum, Teradata, Spark, Databricks, Informatica, etc)
• Familiarity with AI technologies, machine learning, and their societal implications.
• 5+ years of experience managing high-performing engineering teams.
• Experience with Agile/Scrum methodologies and a track record of delivering user-focused solutions.
• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 4 years experience in an analytics-related field.
• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks ( Tensorflow, torch)