As a Product Owner for the in-house Data product/platform at Epergne Solutions, your role will involve the following key responsibilities:

- Experience as Product Owner for any in-house Data product/platform.
- Experience in Data analysis, identifying business attributes, classifying data into Common, Key, and Critical categories for Business Process Management (BPM) and business workflows.
- Experience in Risk-Based scoring based on data.
- Experience in identifying key data for operational process efficiencies and regulatory reporting.
- Experience in 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 involve defining new design patterns or utilizing existing ones.
- Engineering experience in Elastic Data Search capabilities with a good understanding of Data Streaming patterns and tools (e.g. Stream Sets, Kafka).
- Exposure to implementing AI and ML patterns using application data for automated decision-making in business workflows based on rules.
- Experience in Agile methodology, utilizing experimentation and simplification as building blocks.

Qualifications Required:
- Over 15 years of total experience.
- Relevant experience on mandatory skills like 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).

Please note that candidates who can join within 30 days are preferred for this position. As a Product Owner for the in-house Data product/platform at Epergne Solutions, your role will involve the following key responsibilities:

- Experience as Product Owner for any in-house Data product/platform.
- Experience in Data analysis, identifying business attributes, classifying data into Common, Key, and Critical categories for Business Process Management (BPM) and business workflows.
- Experience in Risk-Based scoring based on data.
- Experience in identifying key data for operational process efficiencies and regulatory reporting.
- Experience in 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 involve defining new design patterns or utilizing existing ones.
- Engineering experience in Elastic Data Search capabilities with a good understanding of Data Streaming patterns and tools (e.g. Stream Sets, Kafka).
- Exposure to implementing AI and ML patterns using application data for automated decision-making in business workflows based on rules.
- Experience in Agile methodology, utilizing experimentation and simplification as building blocks.

Qualifications Required:
- Over 15 years of total experience.
- Relevant experience on mandatory skills like 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).

Please note that candidates who can join within 30 days are preferred for this position.