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Product Owner Data Analytics - Senior Engineer

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Job Description

Why Join Iris
Are you ready to do the best work of your career at one ofIndia's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture thattruly values your talent and ambitions
Join Iris Software - one of thefastest-growing IT services companies- whereyou own and shape your success story.
About Us
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.
With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.
Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us
At Iris, every role is more than a job - it's a launchpad for growth.
Our Employee Value Proposition, Build Your Future. Own Your Journey.reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best - both personally and professionally.
Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it .

Job Description

I. Key Responsibilities

A. Strategy & Vision

  • Define and own the product vision and strategyfor the Data and Analytics portfolio, including data pipelines, data warehouses/lakes, reporting tools, and predictive models.
  • Work closely with executive stakeholders, department heads (e.g., Marketing, Finance, Operations), and end-users togather, analyze, and prioritize business requirementsfor data and reporting needs.
  • Maintain and prioritize the Data Product Backlog(features, user stories, acceptance criteria, and technical debt) to maximize business value delivered by the team.

B. Execution & Delivery

  • Translate high-level business requirements into detailed user storiesand clear acceptance criteria for the Data Engineering and Analytics teams.
  • Lead Agile ceremonies for the data team, including sprint planning, backlog grooming, and sprint reviews.
  • Accept or reject user storiesbased on the Definition of Done, ensuring the data product meets quality, performance, and security standards (e.g., data accuracy, latency).
  • Collaborate with Data Architects and Engineers to make key decisions regarding data models, governance, and technology selection for new initiatives.

C. Stakeholder Management & Communication

  • Serve as theprimary liaisonbetween the business stakeholders and the technical development team.
  • Communicate the status, dependencies, and value of the data roadmap and delivered features clearly and regularly to stakeholders at all levels.
  • Demonstrate delivered functionality(e.g., new dashboards, data sets, or API endpoints) to business users, gathering feedback for future iterations.
  • Manage dependencies across multiple data teams and other product teams that consume the central data assets.

II. Required Qualifications & Skills

A. Experience

  • 3+ years of experienceas a Product Owner, Business Analyst, or similar role focused specifically ondata, business intelligence (BI), or reporting platforms.
  • Proven experience working within anAgile (Scrum/Kanban)framework.
  • Demonstrated success in defining and launching data products or analytical features.

B. Technical & Data Fluency

  • Strong proficiency in SQLand experience working directly with relational (e.g., PostgreSQL, SQL Server) and/or NoSQL databases.
  • Working knowledge ofdata warehousing concepts(e.g., dimensional modeling, Kimball/Inmon approaches), ETL/ELT processes, and data quality principles.
  • Familiarity with modernBI tools and visualization platforms(e.g., Tableau, Power BI, Looker).
  • Understanding of the difference between transactional (OLTP) and analytical (OLAP) data systems.

C. Leadership & Soft Skills

  • Exceptionalanalytical and problem-solving skillswith a clear ability to break down complex data problems into manageable components.
  • Excellentwritten and verbal communicationskills, with the ability to convey technical concepts to non-technical business leaders and vice-versa.
  • High level of initiative, self-motivation, and the ability to work independently in a fast-paced environment.

Mandatory Competencies

Agile - Agile - SCRUM
BI and Reporting Tools - BI and Reporting Tools - Power BI
BI and Reporting Tools - BI and Reporting Tools - Tableau
Database - Sql Server - SQL Packages
Database - PostgreSQL - PostgreSQL
DMS - Data Analysis Skills
Beh - Communication and collaboration

Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.

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About Company

A strategic partner that transformational leaders can trust to realize the full potential of technology-enabled transformation.As a trusted technology partner, we focus our highly-experienced talent and rightsized teams to develop complex, mission-critical applications and solutions for leading enterprise across financial services, life sciences, including pharmaceutical, CROs and medical devices, manufacturing & logistics and educational services.

Job ID: 136050637