As a Data Platform Product Manager within the Financial Analysis team, you will define requirements and partner with Technology counterpart to build the next generation of data management solutions and capabilities for end users. You will develop product roadmap and break roadmaps down into development and release plans. You will take ownership of day-to-day project delivery, as well as maintain relationships across multiple levels of the firm. You will partner with Corporate Technology to ensure quality delivery of solutions by leveraging an Agile software development lifecycle (SDLC). Job responsibilities • Partner with Technology to modernize our finance data platform – support build out of foundational capabilities such as pipeline for data onboarding, data quality & governance, data process monitoring & management, data distribution, data analysis & testing, etc. • Analyze customer needs and use prioritization techniques to determine which features or products would meet those demands. • Document requirements and lead backlog refinement sessions by breaking Epics down into user stories. • Provide on-time and accurate reporting, as well as ongoing updates to all project team members and notify all stakeholders of any shifting priority upfront • Identify, analyze, and support process improvements and change management on a continual basis for the data platform • Work with internal stakeholders to understand their data, process & platform requirements and deliver data services in a timely manner • Leverage various technologies and data analytics skills to support testing • Execute within a fast-paced environment and leveraging the Agile framework Required qualifications, capabilities, and skills • Bachelor’s degree in Accounting, Finance or a subject of a technical nature • 8+ years of work experience in technology, data management, product management and/or finance; within the financial services industry • Experience working on Cloud based Big-data implementation platforms and Products • Strong understanding of Data Management concepts & processes - ETL/ELT process, data quality, governance, data catalog, versioning, and related topics • Knowledge of and/or experience in data analysis using query languages (e.g. SQL) • Strong verbal and written communication skills, with the ability to articulate complex issues clearly • Highly motivated with a proven track record for executing on large to small programs, often under pressure given short lead times or with little information / direction • Inquisitive, enthusiastic and diligent team player with the ability to challenge, while at the same time being respected as a trusted partner • Highly motivated self-starter with excellent time management/prioritization skills • Willingness to learn new technologies and be an innovation driver. Preferred qualifications, capabilities, and skills • Finance, Transformations, and Forecasting product experience preferred. • Data analytics using Python • Experience with Amazon Web Services and Data Bricks • Experience using LLM/Gen-AI tools/models • Agile Principles and tools such as Confluence/JIRA • Some experience with other forecast aggregation tools such as Essbase/Atoti