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Role at a glance
You will
Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions
Own the working backwards document and vision for one or more features
Elicit and decompose business requirements into platform requirements and user stories
Education
Bachelor's degree
Must-have skills
Business StrategyData ModelingData WarehousingProject ManagementSQL
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Job description
Location: Pune, India Department: Product Management
We are seeking a talented and motivated Senior Product Manager - Technical to join our data engineering team. In this role, you will play a critical part in designing, developing, and optimizing data pipelines and solutions that enable efficient data processing and analysis.
As a Senior Product Manager - Technical, you will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the continuous improvement of our data infrastructure.
Responsibilities:
Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions
Own the working backwards document and vision for one or more features
Elicit and decompose business requirements into platform requirements and user stories
Coordinate internal forums to collect and identify feature-level development opportunities
Contribute near-term input (quarterly) for the platform product portfolio and roadmap, prioritizing the backlog while defining the acceptance criteria for user stories
Recommend trade-off decisions on platform product features/depth of features/backlog items
Use runtime metrics of their services in market as a feedback loop into the backlog and balance priorities against new feature requests
Own and manage product documentation ensuring features and associated documentation are clear and easily consumable by other engineering teams
Enable self-service support and/or work to reduce overhead
Make use of research, user studies, metrics and competitive analysis to understand the platform and business needs for a platform product and inform the backlog
Participate with the business in customer research to inform platform product feature needs
Coordinate with interdependent teams on platform product requirements
Work with large datasets, ensuring data quality, accuracy, and performance
Continuously monitor feature development at the feature level, adjusting throughout implementation as needed
Review product demos against acceptance criteria for the feature set
Prepare launches and monitor platform performances, adoption, and operational health for feature sets
Support and participate in post-launch reviews and ensure feedback is reincorporated into the feature
Stay aligned with GTM plans for the feature set
Identify issues that will keep the platform features from delivering on time and/or with the desired requirements and work with internal teams and customer service to identify, classify, and prioritize feature-level customer issues
Mentor team members
Assist with candidate selection and onboarding
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
In-depth understanding of data warehousing concepts and data modeling techniques
Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools
Passion for and engagement with emerging trends in data, AI/ML, analytics, and digital experiences
Experience in data product development, analytical models, and model governance
Experience in anonymizing data and managing the use of data
Experience in data hygiene procedures, identity resolution capabilities or data management a plus
Ability to create strategies and plans that define how information can be utilized to support an organization's overall business strategy, and how that information and data is organized, and governed inside an organization
Strong project management skills and a demonstrated ability to understand complex information product constructs
Familiarity with industry best practices for collection and use of data
Outstanding problem-solving skills and the ability to navigate complex data challenges
Effective communication and collaboration skills to work with both technical and non-technical stakeholders
Key skills
Required
Business StrategyData ModelingData WarehousingProject ManagementSQL
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Questions you may be asked
What is the difference between WHERE and HAVING?
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