oracle
Global Security – Consumer Security Operations - Product Delivery Manager
JPMorgan Chase
Columbus, USA
Full-time
Manager
Onsite
Discovered 1 weeks ago
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Key Skills for This Role
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Full Job Posting
Job Responsibilities
- Own the day-to-day delivery cadence for GMP, including delivery planning, backlog readiness, dependency coordination, and issue triage through completion.
- Develop and maintain delivery plans, timelines, milestones, decision logs, risk/issue logs, and stakeholder-ready status reporting.
- Gather business, operational, and technical requirements; translate needs into epics, user stories, acceptance criteria, and supporting documentation in Jira/Confluence.
- Coordinate Agile execution (planning, refinement, reviews, demonstrations) and track/resolve blockers and cross-team dependencies.
- Coordinate testing and release readiness activities (functional testing coordination, end-to-end test planning, UAT readiness, defect intake, fallback planning, production validation coordination).
- Provide delivery support for UEM and the CS Data Lake, including tracking work items, coordinating dependencies, and supporting readiness activities aligned to the portfolio roadmap.
- Track product health signals and recurring issues; coordinate vendor issues (as applicable) and ensure defects/recurring problems are logged and progressed.
- Cross-product reporting, governance, CS surveys, data ecosystem dependencies, control documentation, training, and coverage during peak delivery cycles, and support future Consumer Security products.
Required qualifications, capabilities, and skills
- Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent relevant experience.
- Experience supporting product delivery, technology delivery, business analysis, project management, SaaS platforms, or operational change initiatives.
- Proficiency with Jira and Confluence, with strong technical writing skills to clearly translate complex information for diverse stakeholders.
- Strong analytical and problem-solving skills, with excellent attention to detail and the ability to analyze detailed business requirements; experience with business intelligence and analytics tools (e.g., Tableau, Power BI, Qlik, Looker, Databricks) and utilizing large language models (LLMs).
- Moderate proficiency in SQL, with experience using data integration technologies and performing data analysis.
- Demonstrated project management skills with experience in Agile methodologies, including managing epics and user stories within Jira.
- Excellent communication skills, capable of presenting complex data concepts to both technical and non-technical audiences.
- Ability to work with large and complex systems and datasets, ensuring data quality and integrity through rigorous testing and validation processes.
- Proficiency in at least one cloud data lake platform (e.g., Databricks Lakehouse, AWS Lake Formation, ThoughtSpot), relevant data services (e.g., AWS S3, Redshift; Azure Data Factory; Google Cloud BigQuery), and one scheduling/orchestration tool.
- Experience in data engineering, modeling, and cloud architecture design, with a focus on building solutions for data lineage, metadata management, and data quality improvements.
- Demonstrated knowledge of data integration principles, including foundational concepts, patterns, best practices, API-first design methodologies, GraphQL, and Kafka services.
- Experience building intelligent analytics products utilizing AI/ML techniques.
- Exposure to security or real estate operations, including understanding physical security, investigation processes, and incident management, to support data responsibilities.
- Certification or Accreditation in data management or data governance (e.g., CDMP, DGSP).
- Demonstrated curiosity and initiative to explore data, identify root causes, and uncover opportunities for efficiency improvements.
Preferred qualifications, capabilities and skills
- Proficiency in at least one cloud data lake platform (e.g., Databricks Lakehouse, AWS Lake Formation, ThoughtSpot), relevant data services (e.g., AWS S3, Redshift; Azure Data Factory; Google Cloud BigQuery), and one scheduling/orchestration tool.
- Experience in data engineering, modeling, and cloud architecture design, with a focus on building solutions for data lineage, metadata management, and data quality improvements.
- Demonstrated knowledge of data integration principles, including foundational concepts, patterns, best practices, API-first design methodologies, GraphQL, and Kafka services.
- Experience building intelligent analytics products utilizing AI/ML techniques.
- Exposure to security or real estate operations, including understanding physical security, investigation processes, and incident management, to support data responsibilities.
- Certification or Accreditation in data management or data governance (e.g., CDMP, DGSP).
- Demonstrated curiosity and initiative to explore data, identify root causes, and uncover opportunities for efficiency improvements.
- Preferred qualifications, capabilities and skills
About JPMorgan Chase
Banking323028 employees
Global financial services and investment banking firm.
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