Data Product Owner

Department overviewAutomotiveMastermind 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

• 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