Product Owner / Data Analyst

As a Product Owner for inhouse Data product/platform at Epergne Solutions, your role will involve the following key responsibilities: - Data Analysis tools, Data lineage tool(e.g. Info map), Knowledge on Stream Sets, Kafka, APIs & Microservices, Tableau, Databases (RDBMS, No SQL, open source, proprietary), BPM tools (Camunda , Pega) - Experience as Product Owner for any inhouse Data product/platform - Data analysis, identifying the business attributes, classifying data in Common, Key and Critical categories for Business Process Management(BPM) and business workflows - Risk Based scoring based on data - Identifying data that will be key for operational process efficiencies and regulatory reporting - Data control frameworks, working with regulatory requirements on data retention, data accessibility controls with a focus on data accuracy, completeness, and de-duplication - Engineering expertise in implementing Cloud-based data solutions (public, private) that will require defining new or utilizing existing design patterns - Engineering experience in Elastic Data Search capabilities with good knowledge on Data Streaming patterns and tools (e.g. Stream Sets, Kafka) - Exposure of implementing AI and ML patterns using application data for automated decisioning in business workflow based on rules - Experience in Agile methodology, using experimentation and simplification as building blocks Qualifications required for this role include over 15 years of total experience with relevant experience on mandatory skills. Additionally, candidates should have the ability to join within 30 days. (Note: No additional details about the company were provided in the job description) As a Product Owner for inhouse Data product/platform at Epergne Solutions, your role will involve the following key responsibilities: - Data Analysis tools, Data lineage tool(e.g. Info map), Knowledge on Stream Sets, Kafka, APIs & Microservices, Tableau, Databases (RDBMS, No SQL, open source, proprietary), BPM tools (Camunda , Pega) - Experience as Product Owner for any inhouse Data product/platform - Data analysis, identifying the business attributes, classifying data in Common, Key and Critical categories for Business Process Management(BPM) and business workflows - Risk Based scoring based on data - Identifying data that will be key for operational process efficiencies and regulatory reporting - Data control frameworks, working with regulatory requirements on data retention, data accessibility controls with a focus on data accuracy, completeness, and de-duplication - Engineering expertise in implementing Cloud-based data solutions (public, private) that will require defining new or utilizing existing design patterns - Engineering experience in Elastic Data Search capabilities with good knowledge on Data Streaming patterns and tools (e.g. Stream Sets, Kafka) - Exposure of implementing AI and ML patterns using application data for automated decisioning in business workflow based on rules - Experience in Agile methodology, using experimentation and simplification as building blocks Qualifications required for this role include over 15 years of total experience with relevant experience on mandatory skills. Additionally, candidates should have the ability to join within 30 days. (Note: No additional details about the company were provided in the job description)