Fs-Rc-Fs Finance -Regulatory Reporting - Product Senior Manager
Listed on 2026-02-12
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IT/Tech
Cloud Computing, Data Engineer
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
We are seeking an experienced Product Owner (PO) with a strong background in Java spring boot developer and backend development on Databricks. Candidate should have 10+ years of experience in full stack development in micro services environment having implemented multi-tenant architecture. The ideal candidate will bridge the gap between business stakeholders and the technical team, owning the full lifecycle of product development from concept to deployment.
The role requires a deep understanding of software engineering principles, data processing, and cloud-based application architecture.
- Define and prioritize the product roadmap aligned with business objectives.
- Translate high-level business requirements into detailed technical user stories and acceptance criteria.
- Own and manage the product backlog, ensuring clarity and prioritization based on business value and technical feasibility.
- Lead sprint planning, backlog refinement, and product review sessions with engineering and stakeholders.
- Collaborate with UI/UX teams to ensure optimal user experience and performance.
- Ensure all delivered features meet agreed quality, performance, and security standards.
- Work closely with development teams using Java (Spring Boot) and Angular for front-end and API layers.
- Collaborate on data transformation and analytics features built on PySpark and Databricks.
- Participate in architectural design discussions involving microservices, CI/CD pipelines, and data workflows.
- Guide Dev Ops processes including CI/CD automation, containerization (Docker/Kubernetes), and cloud infrastructure (Azure/AWS).
- Conduct hands‑on testing and validation of data and functionality across the full stack.
- Serve as the key liaison between business users, data engineers, developers, and QA teams.
- Ensure alignment between the product roadmap, technical capabilities, and enterprise architecture.
- Engage with stakeholders to capture feedback and continuously improve product performance.
- Track and report delivery metrics, sprint progress, and feature adoption.
- Maintain documentation of business requirements, process flows, and data mappings.
- Ensure compliance with internal security, regulatory, and data management policies.
Area | Skills / Tools
- Frontend Development:
Java, Angular 12+, Type Script, HTML5, CSS3, RESTful APIs. - Backend Development:
Java (Spring Boot), Microservices, API Gateways. - Data Engineering:
PySpark, Databricks, Delta Lake, ETL/Data Pipelines. - Dev Ops: CI/CD (Jenkins, Git Hub Actions, Azure Dev Ops), Docker, Kubernetes, Terraform.
- Cloud Platforms: AWS / Azure (Databricks, S3, EC2, ADF).
- Database & Storage: SQL, No
SQL, Delta Tables, Parquet Files. - Version Control:
Git / Bitbucket.
EY | Building a better working world
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