Data Product Owner (Data Engineering background)
Role: Data Product Owner (Data Engineering background)
Location: Bangalore, India
Full Time
Job Summary:
We are seeking a highly motivated and experienced Data Product Owner to lead the strategy, development, and delivery of data products and analytics solutions. This hybrid role combines the responsibilities of managing the data product roadmap and backlog with ensuring the agile delivery process is efficient and effective. The ideal candidate will bridge the gap between business stakeholders and data engineering teams to ensure data initiatives deliver maximum value.
Key Responsibilities:
As a Data Product Owner:
Define, prioritize, and communicate the product vision, strategy, and roadmap for data solutions.
Collaborate with stakeholders to gather and refine business requirements for data products, pipelines, and analytics solutions.
Maintain a well-defined product backlog and prioritize items based on business value, dependencies, and technical feasibility.
Ensure data products meet quality, governance, and compliance standards.
Act as the voice of the customer, translating business needs into actionable features for the data team.
Continuously evaluate data solutions’ performance and identify opportunities for enhancement or innovation.
As a Scrum Master:
Facilitate all Scrum ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
Support the team in removing impediments to ensure smooth delivery.
Foster a culture of agile principles, continuous improvement, and self-organization within the data team.
Track and communicate team performance metrics (e.g., velocity, burndown) to stakeholders.
Act as a coach to the team on best practices in Agile and Scrum.
Required Skills & Competencies:
Strong understanding of data architecture, data engineering, and analytics tools (SQL, ETL, BI platforms, cloud data platforms).
Proven experience as a Product Owner and/or Scrum Master in a data-driven environment.
Excellent stakeholder management, communication, and facilitation skills.
Solid knowledge of Agile methodologies and frameworks (Scrum, Kanban).
Ability to translate complex data concepts into business-focused solutions.
Strong problem-solving and decision-making abilities.
Familiarity with data governance, data quality, and compliance practices.
Qualifications:
Bachelor’s degree in Computer Science, Data Science, Business Analytics, or related field.
Relevant certifications such as CSM (Certified Scrum Master), PSM (Professional Scrum Master), or CSPO (Certified Scrum Product Owner) are highly desirable.
5+ years of experience in data product management, analytics, or Scrum roles.
Preferred:
Experience in cloud platforms like AWS, Azure, or GCP.
Knowledge of AI/ML initiatives and data pipelines.
Experience working in cross-functional teams in large organizations.