Associate-Digital Product Management
American Express
Gurgaon, Haryana, India
Job description Functional Description: Lead projects to deliver best-in-class solutions for Business Intelligence and Insights Reporting ecosystem, Metric derivation layers, its organization and rollout standardized Insight creation, consumption and distribution frameworks for all portfolios across the enterprise. Roles & Responsibilities: Assess Business value, develop cases, and prioritize stories, epics and themes to ensure work focuses on those with maximum value that are aligned with product & enterprise strategy. Providing vision and direction to the Agile development team and stakeholders throughout the project to create feature requirements. Plan, Prioritize and Execute end-to-end ownership of a development task and ensure high quality delivery of a feature on stringent timelines. E2E ownership of analytical needs for the product helping monitor and analyze data, assess trends and determine actions to optimize business and operational performance Implement strong data quality controls in entire data management process with 100% accuracy and 100% on time delivery. Collaborate with senior business stakeholders, product owners and technology partners across multiple geographies to design and deliver critical initiatives with high sense of urgency Drive automation initiatives within existing processes and fully optimize delivery effort and processing time. Identifies opportunities to adopt innovative technologies. Minimum Qualifications: Advanced degree in computer science, IT or management from premium institutes Excellent verbal and written communication skills An interest in all things digital, financial and data related Certified SAFe® 4 Product Owner/Product Manager would be preferred. Problem solving skills with ability to solve unstructured and complex business problem. Strong analytical and problem-solving skills and a tremendous will to win Ability to multitask, prioritize, and work under tight deadlines Exposure to digital analytics would be a plus Skills in data management with knowledge of SQL/Hive is a big plus.