Product Delivery Engineer- Assistant Vice President

Citi is looking for a dynamic Product Delivery Engineer to drive the end-to-end delivery of our most critical data and technology solutions. In this pivotal role, you will operate at the intersection of agile product ownership and advanced data analysis, translating complex business requirements into scalable, high-quality systems that create a measurable impact across the organization. You will leverage your deep expertise in data analysis and agile methodologies to deliver innovative solutions that enhance operational efficiency, provide critical insights, and ensure data integrity. If you are a strategic thinker with a passion for data and a track record of delivering technical solutions, this is your opportunity to make a significant and visible impact.

1. Product Ownership & Agile Delivery Backlog Management:  Own, maintain, and prioritize the product backlog in Jira, ensuring alignment with business priorities, strategic roadmaps, and stakeholder commitments.

Definition:  Author high-quality user stories, detailed acceptance criteria (BDD/Gherkin format preferred), and functional specifications. Agile Leadership:  Lead key agile ceremonies, including sprint planning, backlog refinement, daily stand-ups, and sprint retrospectives. Product Roadmap:  Define and communicate the product vision, roadmap, and key performance indicators (KPIs) to both technical teams and business sponsors. UAT & Release Management:  Define User Acceptance Testing (UAT) strategies, coordinate testing cycles with business users, and sign off on releases. 2. Business & Data Analysis Data Querying & Extraction:  Perform advanced data analysis by querying large-scale databases using SQL to extract, manipulate, and interpret complex datasets. Data Visualization:  Design and develop interactive dashboards and reports using tools like Tableau to present global financial, operational, or risk metrics. Business Acumen:  Translate complex business processes, transaction flows, and financial reporting requirements (e.g., global P&L and balance sheet trends) into technical data models and system specifications. Process Optimization:  Analyze end-to-end workflows to identify inefficiencies, championing the use of data and analytics to improve speed, quality, and operational efficiency. 3. Data Governance & Quality Assurance Data Quality Rules:  Define and monitor Critical Data Elements (CDEs), establish robust data quality rules, and drive the resolution of data quality issues. Lineage & Metadata:  Document comprehensive data lineage, metadata, and data dictionaries to ensure full transparency and traceability of data across systems. 4. Stakeholder & Change Management Stakeholder Engagement:  Manage relationships and expectations with senior business sponsors, finance leaders, and risk managers, communicating progress and risks with transparency. Influence & Negotiation:  Synthesize complex technical and data concepts to influence change, negotiate priorities, and resolve conflicts across cross-functional teams. Adoption & Training:  Lead change management activities, including creating user documentation, conducting training sessions, and driving the adoption of new data solutions. 5. Innovation in Execution Leverage AI Tools: Utilize cutting-edge AI tools to accelerate requirements analysis, improve the quality of user story documentation, and enhance feature file generation. Generative & Agentic AI Knowledge: Strong understanding of Generative AI and Agentic AI concepts and their applications in a product context. Qualifications & Skills:

Education:  Bachelor's degree in Computer Science, Information Systems, Business Administration, Finance, Data Analytics, or a related field. Master's degree is a plus.

8 + years of experience in business analysis, agile product ownership, or data analytics within the financial services industry (preferably in risk, finance, or