Data Product Associate Manager

The position is based in Hyderabad, India within the IT department at Company XYZ. As a member of the Data Product Managers team, you will play a crucial role in developing quality data collection processes, ensuring the integrity of data foundations, and facilitating rapid access to data for decision-making and innovation by business leaders, data scientists, and data engineers. Your key responsibilities will include: - Taking ownership of end-to-end Data + Analytics delivery execution, optimizing resource allocation and sequencing. - Overseeing the design, construction, and management of business-ready data within the Enterprise Data Foundation. - Facilitating coordination between Domains, Products, and Projects to drive re-use and reduce redundancy in the D+A and broader PepsiCo portfolio. - Creating data roadmaps to meet hydration targets and support timely delivery for global data initiatives. - Managing delivery against key technical milestones and reporting progress against hydration milestones. - Leading cross-chapter Pod resources towards shared goals and participating in Planning to align domain goals with program/product milestones. - Collaborating with multiple stakeholders to define Epic and feature definitions and guide user stories for delivery. - Designing and documenting data product artifacts required by the team and ensuring technical documentation is accessible to key stakeholders. - Cataloging data in the Data Foundation for easy access by business stakeholders and tracking benefits of insights for leadership acceptance. - Working with program Data Product Managers to manage expectations and eliminate disconnect on what can be addressed. The ideal candidate should possess: - 9+ years of experience in Product Management, Data Analytics, Data Science, or Data Management and Operations in business-facing functions. - 4+ years of experience in leading/building advanced analytics and big data solutions, large scale data modeling, or building enterprise SaaS. - Experience in a data-centric business environment and identifying sources of value from data analytics across core business domains. - Familiarity with data governance and stewardship principles and tools. - History of working in agile environments and successfully delivering complex products. - Strong communication skills to convey complex information in a clear and concise manner. - Leadership skills with a team-player attitude to drive end-to-end implementation of use cases under time pressure. - Ability to drive innovative solutions using data science, feature engineering, and machine learning. - Proficiency in team development and talent cultivation across various experience levels.,