Product Owner Job at Yash Technologies

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

15 Aug, 26

Salary

0.0

Posted On

17 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Ownership, Business Analysis, Requirement Elicitation, User Story Writing, Wireframing, Product Backlog Management, UAT Planning, Data Warehousing, Data Lake Concepts, Power BI, Figma, Agile Methodology, Stakeholder Management, CXO Communication, HTML, PHP

Industry

IT Services and IT Consulting

Description

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Product Owner Professionals in the following areas : Job DescriptionTechnical Business AnalystYASH Technologies | Data & Analytics Practice Role Snapshot Position: Technical Business Analyst Experience: 7+ years overall, with a minimum of 3 years in a Business Analyst / Product Owner role Education: B.E. in Computer Science (mandatory) + MBA (mandatory) Certification: CSPO (active or previously held; minimum one year old) Work Hours: Flexibility to extend up to 11:00 PM / 11:30 PM IST when business needs require Role OverviewWe are looking for a Technical Business Analyst who can bridge business intent and technical execution with equal confidence. The role demands a true product mindset — someone who can sit across the table from business heads and CXOs to elicit requirements, translate them into clear user stories and wireframes, and partner with engineering to deliver high-quality outcomes. The ideal candidate brings a balance of consulting polish, hands-on technical orientation, and the discipline of having operated inside a product company. Key Responsibilities Engage with business stakeholders, including business heads and CXO-level leaders, to understand strategic priorities and translate them into clear, actionable requirements. Author crisp BRDs, FRDs, user stories, acceptance criteria, and product backlogs; own grooming, prioritization, and sprint readiness. Design wireframes, mockups, and low-fidelity prototypes to communicate intent across business and engineering teams. Partner with developers, architects, QA, and UX to ensure features are built right and built on time; act as the single point of truth on scope and intent. Drive product discovery, user research, and competitive analysis to shape roadmaps with a strong product mindset. Work alongside data engineering teams on requirements that span Data Warehouse and Data Lake ecosystems, ensuring source-to-consumption traceability. Collaborate on visualization and reporting needs, defining KPIs, dashboards, and self-service analytics expectations. Conduct UAT planning, demo sessions, and stakeholder walkthroughs; capture feedback and convert it into the next iteration. Must-Have Qualifications Education B.E. in Computer Science (non-negotiable). Page 2 MBA from a recognized institution (non-negotiable). Experience 7+ years of total professional experience. Minimum 3 years as a Business Analyst or Product Owner. At least 1 year in a product company in a similar BA / PO capacity. Demonstrated experience working directly with business stakeholders, including business heads and CXOs. Technical Skills Comfortable reading and working with at least one programming language. Working knowledge of HTML and PHP. Hands-on experience or strong exposure to a visualization tool, preferably Power BI. Ability to create wireframes using tools such as Figma, Balsamiq, Axure, or equivalent. Fair understanding of Data Warehouse and Data Lake concepts (modeling, layers, ingestion, consumption). Certification CSPO (Certified Scrum Product Owner) — active certification, OR previously held with at least one year of post-certification experience. Behavioural & Mindset Strong product mindset — thinks in terms of outcomes, users, and value, not just features. Excellent verbal and written communication; able to hold their own in CXO conversations. Flexibility to work extended hours up to 11:00 PM / 11:30 PM IST when business engagements demand. Good to Have Exposure to any cloud platform, preferably Microsoft Azure (Azure Data Services, Synapse, Fabric, ADF). Experience with Agile delivery at scale (SAFe, LeSS) and tools such as Jira, Azure DevOps, Confluence. Familiarity with API-first design and integration patterns. Prior consulting or pre-sales exposure in the Data & Analytics space. What We Offer A high-impact role at the intersection of business strategy, product thinking, and modern data platforms. Direct exposure to senior business leaders and CXO stakeholders across global clients. Opportunities to work on cutting-edge engagements within YASH’s Data & Analytics practice and AI Centre of Excellence. A culture that rewards ownership, curiosity, and craftsmanship. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Responsibilities

The role involves bridging business intent and technical execution by engaging with CXO-level stakeholders to translate strategic priorities into actionable requirements. Responsibilities include authoring BRDs, managing product backlogs, and partnering with engineering teams to deliver data-driven outcomes.