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Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.

We are seeking a Network Design Data Product Owner to join the Network Design Digital & Data team. In this role, you will support the development, delivery, and continuous improvement of data products that enable smarter planning, design, optimization, and management of the electricity transmission network across England and Wales.

Working closely with the Data Product Manager, business stakeholders, engineers, architects, analysts, and development teams, you will help deliver user-centric, high-quality data products that provide trusted, timely, and actionable insights to support operational excellence and strategic decision-making.

Key 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.

Required Skills

Primary Skills

  • Data Product Ownership
  • Product Backlog Management
  • Agile / Scrum Methodologies
  • Requirements Gathering & Analysis
  • User Story Creation
  • Stakeholder Management
  • Business Analysis
  • Data Governance
  • Data Quality Management
  • Data Lifecycle Management
  • Data Product Lifecycle Management

Secondary Skills

  • Data Lineage & Metadata Management
  • Master Data Management (MDM)
  • API-Based Data Products
  • Data Integration
  • Power BI / Data Visualization
  • Product Roadmap Development
  • User Research & Product Discovery
  • Test Coordination & User Acceptance Testing
  • Analytics & Reporting
  • Operational Decision-Support Platforms
  • Digital Twin Platforms
  • Engineering Data Platforms

Preferred Qualifications

  • Experience with data visualization and analytics tools such as Power BI.
  • Understanding of API-based products, data integration, and cloud-based data platforms.
  • Experience working with engineering, asset, or operational data.
  • Familiarity with data governance, metadata management, and data quality frameworks.
  • Experience working with cross-functional teams including:
    • Customers
    • Architects
    • Engineers
    • Developers
    • Testers
  • Exposure to data-heavy products, analytics platforms, operational decision-support systems, or digital twin solutions.

Domain Experience (Preferred)

  • Energy & Utilities
  • Electricity Transmission Networks
  • Asset Management
  • Network Design & Planning
  • Operational Data Platforms
  • Infrastructure Engineering

Key Success Metrics

  • Successful delivery of data products aligned to business objectives.
  • User adoption and stakeholder satisfaction.
  • Improvement in data accessibility, quality, and usability.
  • Effective backlog prioritization and release management.
  • Delivery of actionable insights through trusted data products.
  • Increased data-driven decision making across Network Design teams.
  • Improvement in operational planning and network optimization outcomes.
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