Senior Product Owner

About StarRez

StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner.

StarRez operates globally across the USA, UK, Canada, and Australia. The India Center is a pivotal extension of our growth strategy, focusing on building world-class centers of excellence teams while fostering a seamless blend of StarRez’s core values with India’s dynamic talent ecosystem. 

The Role 

As a Senior Data Product Owner, you will be responsible for the end-to-end delivery of data and analytics product workstreams, acting as the bridge between Product Managers, Data Engineering teams, and Analytics stakeholders. 

While the Product Manager focuses on leading the product vision and strategy, your role will be to ensure high-quality execution of analytics and data-driven capabilities, working closely with engineering to deliver scalable and reliable data solutions. 

This role is highly hands-on and technical, requiring strong involvement in data pipelines, transformations, dashboards and analytics product design, not just backlog management and delivery. 

You will also own and lead well-defined data initiatives, helping build a market-leading analytics platform that delivers measurable value to customers. 

 

What you will own-

Backlog Management & Prioritization (Data-Focused):

• Own and manage the product backlog for data and analytics features  

• Collaborate with Product Managers to align backlog priorities with product strategy  

• Define clear user stories with strong data context (metrics, transformations, data flows)  

• Ensure backlog reflects data requirements, dependencies, and technical considerations  

 Data Product & Platform Ownership:

• Work closely with engineering to define:  

• Data pipelines (ETL/ELT)  

• Data transformations and ingestion workflows  

• Customer data schemas 

• Analytics-ready data structures  

• Contribute to decisions around:  

• data modeling (e.g., star schema, dimensional modeling)  

• data quality, consistency, and performance  

• Help shape how data is structured, stored, and consumed across the platform  

 Delivery Execution (Analytics & Data Systems):

• Ensure data-related backlog items are delivered in alignment with roadmap goals  

• Work hands-on with engineering to validate:  

• data accuracy  

• transformations  

• output correctness  

• Own delivery of customer-facing analytics features, dashboards, and reporting capabilities  

 Stakeholder & Customer Collaboration:

• Engage with customers to understand analytics and reporting needs  

• Translate business questions into data-driven product requirements  

• Partner with cross-functional teams:  

• Engineering  

• Data  

• Design  

• Customer Success  

 Refinement & Continuous Improvement:

• Drive backlog refinement with strong focus on data clarity and technical feasibility  

• Improve processes around:  

• data delivery  

• analytics quality  

• product outcomes  

• Identify opportunities to improve:  

• data structures  

• reporting capabilities  

• analytics performance  

 Product Quality & Data Integrity:

• Ensure all delivered features meet:  

• product quality standards  

• data accuracy and reliability expectations  

• Monitor key delivery and analytics metrics  

• Collaborate with Product Managers to optimize existing analytics features  

Required Qualifications 

• 5+ years of experience as a Product Owner / Data Product Owner / Analytics Product Manager  

• Strong experience working on:  data platforms, analytics products, or BI systems  

• Hands-on experience with:  data pipelines (ETL/ELT) , data transformations  and data modeling concepts (star schema, dimensional models, etc.)  

• Solid working knowledge of:  SQL (joins, aggregations, querying)  

• Experience working closely with:  data engineers / analytics teams  

• Strong analytical mindset and ability to break down complex data problems  

 

Preferred Qualifications 

• Experience with BI tools such as:  

Sisense, Power BI, Tableau, Looker  

• Experience with cloud data platforms:  

Snowflake, Redshift, DataBricks, BigQuery, Azure Synapse 

• Experience building:  

customer-facing analytics products  

• Familiarity with:  

data governance  and data quality  

 

Even if you don't have all of the Preferred Qualifications listed above, but feel you have what it takes to succeed in the role, we would love to hear from you!  

  

Reasons to join our Team:  

StarRez is not just a workplace—it’s a place to belong, build, and grow.   

• A Culture That Lasts: Many of our team members have been with us for 20+ years—a testament to our people-first philosophy.   

• Global Impact, Local Ownership: Join a team that spans across Australia, the USA, the UK, and Canada, working on industry-leading solutions, while building the centre up from ground up.   

• Long-Term Vision: We’re not here for short-term gains. We invest in our people for the long haul, creating an environment where you can grow, lead, and thrive.   

• Innovation with Stability: Backed by Vista Equity Partners, we combine the agility of a scaling SaaS company with the stability of long-term industry leadership.   

• Z-Factor: We take pride in our culture of passion, care, and high performance. The Z-Factor defines how we support our teams, foster growth, and ensure that everyone at StarRez thrives.   

If you are excited about building game-changing products in a high-impact, collaborative environment—StarRez India is the place for you.   

We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply.  

 

Notice to external Recruiters and Recruitment Agencies:  

StarRez will not accept unsolicited resumes from recruitment agencies, headhunters, or any other third parties for this role through this website or directly to any employee. StarRez and any of our subsidiaries will not pay fees to any third-party agency or company. In addition, we ask that you do not reach out to any employee with regards to this position, or any other positions, now, or in the future.  

 

StarRez is an equal opportunity employer.