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Network Design Data Product Owner

  • Source: Naukri
  • Zensar
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Role & responsibilities

Data Product Ownership

  • Support the Data Product Manager in managing the end-to-end lifecycle of data products, from discovery and definition through delivery and continuous improvement.
  • Assist in developing and maintaining product roadmaps aligned with business objectives and user needs.
  • Define, refine, and prioritize product backlogs to maximize business value and user impact.
  • Create and maintain user stories, acceptance criteria, and product documentation.

Stakeholder Collaboration

  • Engage with stakeholders across Network Design, Engineering, Data, and Business teams to understand requirements and challenges.
  • Facilitate workshops and discussions to gather business needs and translate them into product requirements.
  • Support stakeholder communications, product demonstrations, and adoption activities.
  • Act as a bridge between business users and technical delivery teams.

Data & Analytics Enablement

  • Identify and define critical data requirements that support operational and planning decisions.
  • Collaborate with data analysts, engineers, and SMEs to validate data quality, business rules, source systems, and assumptions.
  • Support the design and enhancement of data products that improve accessibility, reliability, and usability of data.
  • Promote data-driven decision-making across the organization.

Agile Delivery

  • Participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives.
  • Work closely with cross-functional delivery teams to ensure successful product releases.
  • Coordinate testing activities, feedback collection, and continuous improvement initiatives.
  • Monitor product performance and user adoption metrics to inform future enhancements.

Data Governance & Product Optimization

  • Maintain a strong understanding of data attributes, metadata, and enterprise data product catalogues.
  • Support data governance, lineage, master data, and integration initiatives.
  • Contribute to improving data quality, consistency, and compliance standards.

Help establish best or managing and scaling data products.

Qualification:
Required Qualifications

  • Bachelor’s degree or equivalent experience in:

  • Business
  • Engineering
  • Data Science
  • Computer Science
  • Information Systems
  • Related discipline

  • Experience in a Product Owner, Business Analyst, Data Analyst, or Data Product environment.
  • Understanding of Agile delivery methodologies.
  • Experience using Agile tools such as:

  • Jira
  • Confluence
  • Azure DevOps (preferred)

  • Strong analytical and problem-solving skills.
  • Excellent written, verbal, and stakeholder communication skills.
  • Ability to work effectively across multidisciplinary teams.

Skills

  • JIRA
  • confluence
  • microsoft-azure
  • azure-devops

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