The Role
Owns the discovery, requirements, prioritization, delivery, governance, and continuous improvement of enterprise data products. Partners with business stakeholders, Data Engineering, Analytics, and engineering teams to translate ambiguous problems into scalable product requirements, user stories, technical specifications, and prioritized backlogs. The role requires expertise in data modeling, warehousing, ETL/ELT pipelines, analytics platforms, agile delivery, and dashboard governance.
Summary Generated by Built In
About the Role
We are seeking a highly motivated and detail-oriented Data Product Manager to drive the delivery and evolution of data products across the organization. The ideal candidate will bridge the gap between business stakeholders and the Data Engineering team, ensuring data products are designed, delivered, maintained, and continuously improved to meet business objectives.
This role requires strong expertise in data products, data models, project planning, stakeholder management, agile delivery practices, and dashboard governance.
Required Qualifications
- Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related field.
- 7+ years of experience in Product Management/Data Product Management owning product discovery, requirements gathering, prioritisation, and delivery.
- Strong understanding of data modeling concepts, data warehousing, ETL/ELT pipelines, and analytics platforms.
- Experience working with Data Engineering and Analytics teams.
- Proven experience creating user stories, managing product backlogs, and delivering data-driven initiatives.
- Strong technical understanding of modern data platforms and data engineering ecosystems Either Snowflake/ Databricks / Amazon Redshift.
- Hands-on experience translating ambiguous business problems into clear, actionable product requirements, user stories, and technical specifications for engineering teams.
- Proven ability to collaborate closely with engineering, data, and business stakeholders to define scalable product solutions.
- Experience working with data-intensive products, analytics platforms, or enterprise data solutions is highly preferred.
Preferred Qualifications
- Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud.
- Familiarity with BI tools such as Tableau, Power BI, or Looker.
- Experience working in Agile/Scrum environments.
- Exposure to data governance and metadata management practices.
Skills Required
- Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related field
- 7+ years of experience in Product Management or Data Product Management
- Experience owning product discovery, requirements gathering, prioritization, and delivery
- Strong understanding of data modeling concepts, data warehousing, ETL/ELT pipelines, and analytics platforms
- Experience working with Data Engineering and Analytics teams
- Experience creating user stories, managing product backlogs, and delivering data-driven initiatives
- Strong technical understanding of modern data platforms and data engineering ecosystems, including Snowflake, Databricks, or Amazon Redshift
- Hands-on experience translating ambiguous business problems into product requirements, user stories, and technical specifications
- Ability to collaborate with engineering, data, and business stakeholders to define scalable product solutions
- Experience with data-intensive products, analytics platforms, or enterprise data solutions
- Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud
- Familiarity with Tableau, Power BI, or Looker
- Experience working in Agile/Scrum environments
- Exposure to data governance and metadata management practices
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The Company
What We Do
Relanto is a global advisory, consulting, and technology-services partner that helps organizations navigate business transformation as artificial intelligence reshapes the business landscape. Founded in 2021, the company combines advisory expertise with consulting and technology services, operating across a global footprint that includes India and the United States. Its mission centers on applying AI and modern technology to evolving enterprise needs.
