ProArch
Information Technology and Services
SeniorDataProductOwner
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“Senior Data Product Owner at ProArch. Skills: Data product ownership, Agile methodologies, Azure data services. Define product backlog for data-driven initiatives. Prioritize product backlog for data-driven initiatives”
What You'll Achieve.
Deliver measurable business outcomes; Ensure high data quality; Ensure data consistency; Deliver secure data solutions; Deliver efficient data solutions; Deliver scalable data solutions; Align with KPIs; Align with business goals
Industry & Context.
Problem-solving; Analytical thinking
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 6+ years of experience in Data/Analytics, 3+ years in a Product Owner or Business Analyst capacity, Understanding of data modelling, Hands-on experience with Azure Data Services, Proven track record of gathering requirements, Proficiency in Power BI, Proficiency in SQL, Proficiency in Azure DevOps/JIRA, Stakeholder management skills, Analytical thinking skills, Problem-solving skills
Nice to Have
Master's degree in Computer Science, Agile/Scrum certification
What You'll Do.
Define product backlog for data-driven initiatives
Prioritize product backlog for data-driven initiatives
Act as liaison between business stakeholders
Act as liaison between data engineers
Act as liaison between data scientists
Act as liaison between analytics teams
Lead data product development using Agile
Drive sprint planning
Drive backlog grooming
Drive stakeholder reviews
Analyze business requirements
Translate requirements into data models
Translate requirements into data solutions
Drive design of data models
Drive validation of data models
Ensure data consistency
Collaborate with Azure data platform teams
Deliver cloud-based data solutions
Monitor data product performance
Measure data product performance
Ensure alignment with KPIs
Ensure alignment with business goals
Champion data governance practices
Champion data quality practices
Champion data compliance practices
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Business stakeholders; Data engineers; Data scientists; Analytics teams; Azure data platform teams
Process & Methodology
Agile methodologies, Sprint planning, Backlog grooming
Full Job Description
At ProArch, we partner with businesses around the world to turn big ideas into better outcomes through IT services that span cybersecurity, cloud, data, AI, and app development. We’re 400+ team members strong across 3 countries (we call ourselves ProArchians)—and here’s what connects us all: * A love for solving real business problems * A belief in doing what’s right **What’s it like to work here?** * You’ll keep growing. You’ll work alongside domain experts who love to share what they know. * You’ll be supported, heard, and trusted to make an impact. * You’ll take on projects that touch industries, communities, and lives. * You’ll have the time to focus on what matters most in your life outside of work. At ProArch, you’ll be part of teams that design and deliver technology solutions solving real business challenges for our clients. With services spanning AI, Data, Application Development, Cybersecurity, Cloud & Infrastructure, and Industry Solutions, your work may involve building intelligent applications, securing business‑critical systems, or supporting cloud migrations and infrastructure modernization. Every role here contributes to shaping outcomes for global clients and driving meaningful impact. You’ll collaborate with experts across data, AI, engineering, cloud, cybersecurity, and infrastructure—solving complex problems with creativity, precision, and purpose. You’ll join a culture rooted in technology, curiosity, and continuous learning. A place where we move fast, trust you to make an impact, encourage innovation, and support your growth. **Job Description:** We are looking a Senior Data Product Owner to lead the delivery and strategic development of data-driven products and platforms. This role will bridge the gap between business needs and technical implementation—owning the product lifecycle, translating business requirements into data solutions, and ensuring the integrity of data models and analytics pipelines, especially within the Azure ecosystem. **
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