Data Product Owner

Job Description

Department overview AutomotiveMastermind provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The companys cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention. Responsibilities: Work closely with Product Management and Data Strategy leadership to understand short and long-term roadmaps, and overall Data product strategy Drive backlog grooming agile sprint ceremony, acting as bridge between business needs and technical implementation Present on behalf of agile teams in sprint review, reiterating business value delivered with each work increment completed Develop expertise on the existing aM ecosystem of integrations and data available within the system Collaborate with data analysts, data management, data science, and engineering teams to develop short and long-term solutions to meet business needs and solve distinct problems Application of deep, creative, rigorous thinking to solve broad, platform-wide technical and/or business problems Identify key value drivers and key opportunities for/sources of error across products and processes Develop short-term preventive or detective measures, and leading medium/long-term product improvement initiatives arrived at via close collaboration with engineering, QA, and data support Coordinate with data engineers as appropriate to design and enable repeatable processes and generate deliverables to answer routine business questions What Were Looking For: Basic Required Qualifications: Minimum 4 years working experience as a Product Owner or Product Manager in an Agile scrum framework Experience using data and analytical processes to drive decision making, with ability to explain how analysis was done to an executive audience Strong knowledge of Agile development framework, with practical experience to support flexible application of principles Strong conceptual understanding of data integrations technologies and standards Working familiarity with road-mapping and issue tracking software applications (Aha!, MS Azure DevOps, Salesforce) Familiarity with Microsoft Excel, SQL, BigQuery, MongoDB, and Postman preferred An advocate for the importance of leveraging data, a supporter of the use of data analysis in decision-making, and a fierce promoter of data and engineering best practices throughout the organization. Passionate about empirical research A team player who is comfortable working with a globally distributed team across time zones A solid communicator, both with technology teams and with non-technical stakeholders Preferred: Experience with or awareness of and interest in dimensional data modeling concepts B.tech/M.tech qualified. Grade: 9 Location: Gurgaon Hybrid Mode: twice a week work from office Shift Time: 12 pm to 9 pm IST