Data Product Manager - Unstructured Data Ingestion
Ford Motor Company
Date: 2 days ago
City: Chennai, Tamil Nadu
Contract type: Full time
Job Description
We are seeking a highly motivated and experienced Data Product Manager to lead the strategy, roadmap, and execution of our data ingestion platform. This platform is critical to our organization, ingesting a wide variety of data types—structured, unstructured, real-time, and batch—from diverse sources. The ideal candidate is a seasoned product leader with a proven track record of successfully delivering data products that meet and exceed user needs. This role requires a strong understanding of data engineering principles, product management best practices, and a passion for building high-quality, scalable, and reliable data solutions.
Responsibilities
Product Strategy & Roadmap: Define and champion the product vision, strategy, and roadmap for the data ingestion platform. This includes conducting market research, competitive analysis, and customer discovery to identify opportunities for innovation and improvement.
Requirements Gathering & Prioritization: Elicit and prioritize requirements from stakeholders across the organization, balancing business needs with technical feasibility and resource constraints. This includes actively engaging with data engineers, data scientists, and business users.
Product Design & Development: Collaborate with engineering teams to design, develop, and launch new features and improvements to the data ingestion platform. This includes creating detailed product specifications, user stories, and acceptance criteria.
Go-to-Market Strategy: Develop and execute go-to-market strategies for new features and platform updates.
Product Monitoring & Optimization: Monitor platform performance, user adoption, and identify areas for improvement. This includes analyzing usage data, conducting user surveys, and gathering feedback.
Stakeholder Management: Effectively communicate product vision, strategy, and progress to stakeholders across the organization, including executive leadership, engineering, and business units.
Customer Discovery: Regularly engage with users to understand their needs, pain points, and expectations. This includes conducting user interviews, surveys, and usability testing.
Product Discovery: Employ various product discovery techniques to identify andvalidate product opportunities.
Leadership Reviews: Prepare and present regular product updates andperformance reviews to leadership.
Pulse Checks & Surveys: Conduct regular pulse checks and surveys to monitoruser satisfaction and identify emerging issues.
Qualifications
Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field. Master's degree is a plus.
5+ years of experience in product management, with a focus on data products.
Deep understanding of data ingestion principles, technologies, and best practices.
Experience with various data types (structured, unstructured, real-time, batch).
Proven ability to define and execute product roadmaps.
Excellent communication, presentation, and interpersonal skills.
Strong analytical and problem-solving skills.
Experience with Agile development methodologies.
Experience with data visualization and analytics tools is a plus.
Experience with cloud-based data platforms (AWS, Azure, GCP) is a plus.
We are seeking a highly motivated and experienced Data Product Manager to lead the strategy, roadmap, and execution of our data ingestion platform. This platform is critical to our organization, ingesting a wide variety of data types—structured, unstructured, real-time, and batch—from diverse sources. The ideal candidate is a seasoned product leader with a proven track record of successfully delivering data products that meet and exceed user needs. This role requires a strong understanding of data engineering principles, product management best practices, and a passion for building high-quality, scalable, and reliable data solutions.
Responsibilities
Product Strategy & Roadmap: Define and champion the product vision, strategy, and roadmap for the data ingestion platform. This includes conducting market research, competitive analysis, and customer discovery to identify opportunities for innovation and improvement.
Requirements Gathering & Prioritization: Elicit and prioritize requirements from stakeholders across the organization, balancing business needs with technical feasibility and resource constraints. This includes actively engaging with data engineers, data scientists, and business users.
Product Design & Development: Collaborate with engineering teams to design, develop, and launch new features and improvements to the data ingestion platform. This includes creating detailed product specifications, user stories, and acceptance criteria.
Go-to-Market Strategy: Develop and execute go-to-market strategies for new features and platform updates.
Product Monitoring & Optimization: Monitor platform performance, user adoption, and identify areas for improvement. This includes analyzing usage data, conducting user surveys, and gathering feedback.
Stakeholder Management: Effectively communicate product vision, strategy, and progress to stakeholders across the organization, including executive leadership, engineering, and business units.
Customer Discovery: Regularly engage with users to understand their needs, pain points, and expectations. This includes conducting user interviews, surveys, and usability testing.
Product Discovery: Employ various product discovery techniques to identify andvalidate product opportunities.
Leadership Reviews: Prepare and present regular product updates andperformance reviews to leadership.
Pulse Checks & Surveys: Conduct regular pulse checks and surveys to monitoruser satisfaction and identify emerging issues.
Qualifications
Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field. Master's degree is a plus.
5+ years of experience in product management, with a focus on data products.
Deep understanding of data ingestion principles, technologies, and best practices.
Experience with various data types (structured, unstructured, real-time, batch).
Proven ability to define and execute product roadmaps.
Excellent communication, presentation, and interpersonal skills.
Strong analytical and problem-solving skills.
Experience with Agile development methodologies.
Experience with data visualization and analytics tools is a plus.
Experience with cloud-based data platforms (AWS, Azure, GCP) is a plus.
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